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Journal articles on the topic 'Autonomous robot navigation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Sueoka, Yuichiro, Mitsuki Okada, Yusuke Tsunoda, Yasuhiro Sugimoto, and Koichi Osuka. "Exploration of a Simple Navigation Method for Swarm Robots Pioneered by Heterogeneity." Journal of Robotics and Mechatronics 35, no. 4 (2023): 948–56. http://dx.doi.org/10.20965/jrm.2023.p0948.

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In recent years, research has been conducted on swarm robot systems in which multiple autonomous mobile robots cooperate to perform tasks. Swarm robot systems are expected to perform high functionality as a group by cooperating with each other, in spite of the limited capabilities of the individual robots. This paper explores a method of simplifying swarm robot controllers as much as possible for swarm robot navigation. If we can achieve autonomous navigation of swarm robots to a target area with minimal resource consumption, they only need to implement the task execution function in that area

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2

Valliappan, Karthik C*, and Vikram R. "Autonomous Indoor Navigation for Mobile Robots." Regular issue 10, no. 7 (2021): 122–26. http://dx.doi.org/10.35940/ijitee.g9038.0510721.

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An autonomous navigation system for a robot is key for it to be self-reliant in any given environment. Precise navigation and localization of robots will minimize the need for guided work areas specifically designed for the utilization of robots. The existing solution for autonomous navigation is very expensive restricting its implementation to satisfy a wide variety of applications for robots. This project aims to develop a low-cost methodology for complete autonomous navigation and localization of the robot. For localization, the robot is equipped with an image sensor that captures reference

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Karthik, Valliappan C., and R. Vikram. "Autonomous Indoor Navigation for Mobile Robots." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 7 (2021): 122–26. https://doi.org/10.35940/ijitee.G9038.0510721.

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An autonomous navigation system for a robot is key for it to be self-reliant in any given environment. Precise navigation and localization of robots will minimize the need for guided work areas specifically designed for the utilization of robots. The existing solution for autonomous navigation is very expensive restricting its implementation to satisfy a wide variety of applications for robots. This project aims to develop a low-cost methodology for complete autonomous navigation and localization of the robot. For localization, the robot is equipped with an image sensor that captures reference

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Ala, Supriya. "Obstacle Avoiding Robot using Arduino Uno." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem41058.

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An obstacle-avoiding robot has been developed to navigate autonomously in various environments. The robot uses sensors to detect obstacles in its path and adjusts its movement to avoid collisions by either changing direction or stopping. By following a set of simple decision-making rules, the robot can effectively navigate through different spaces. Extensive testing in diverse environments demonstrates its ability to move safely and efficiently. The research aims to improve autonomous robots, with potential applications in home assistance, industrial setting, and other areas requiring safe and

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Mohammed, Mohammed, Mahmood Abdulrazzaq .., Ruqayah R. Al .., and Salah A. Aliesawi. "Intelligent Enhanced Mobile Robotics Navigation: Integrating Neural Networks with Type-2 Fuzzy Logic for Dynamic Environments." Fusion: Practice and Applications 15, no. 2 (2024): 89–101. http://dx.doi.org/10.54216/fpa.150208.

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Intelligent mobile robots move on uncertain grounds, thus requiring good navigation strategies for things like path tracking and obstacle avoidance. This research uses an Omni-drive mobile robot to autonomously approach given objectives in different situations encountered in static and dynamic environments. The paper compares two distinct controllers – fuzzy logic controller and neural network controller- that lead the mobile robot towards its destination without hitting obstacles. These are responsible for adjusting the linear and angular velocities of a mobile robot which makes adaptive navi

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Salavi, Prof A. S., and Prof D. A. Bhosale. "Path Finder Autonomous Robot." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1212–15. http://dx.doi.org/10.22214/ijraset.2023.49614.

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Abstract: Now a days many robots have come Developed for automation and navigation is robotics Emerging technologies that reduce human work. Many A variety of robot navigation techniques are available. This is a project to create a robot that finds the world safe way Plan and avoid obstacles. It has an infrared sensor Used to detect obstacles in the robot's path. Robot avoid the obstacles in the way and move forward specific direction. An infrared sensor is used for detection Interrupt and send the information to the controller and then Processing input microcontroller redirects using robots M

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KUO, CHUNG-HSIEN, HUNG-CHYUN CHOU, SHOU-WEI CHI, and YU-DE LIEN. "VISION-BASED OBSTACLE AVOIDANCE NAVIGATION WITH AUTONOMOUS HUMANOID ROBOTS FOR STRUCTURED COMPETITION PROBLEMS." International Journal of Humanoid Robotics 10, no. 03 (2013): 1350021. http://dx.doi.org/10.1142/s0219843613500217.

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Biped humanoid robots have been developed to successfully perform human-like locomotion. Based on the use of well-developed locomotion control systems, humanoid robots are further expected to achieve high-level intelligence, such as vision-based obstacle avoidance navigation. To provide standard obstacle avoidance navigation problems for autonomous humanoid robot researches, the HuroCup League of Federation of International Robot-Soccer Association (FIRA) and the RoboCup Humanoid League defined the conditions and rules in competitions to evaluate the performance. In this paper, the vision-base

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Lee, Min-Fan Ricky, and Sharfiden Hassen Yusuf. "Mobile Robot Navigation Using Deep Reinforcement Learning." Processes 10, no. 12 (2022): 2748. http://dx.doi.org/10.3390/pr10122748.

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Learning how to navigate autonomously in an unknown indoor environment without colliding with static and dynamic obstacles is important for mobile robots. The conventional mobile robot navigation system does not have the ability to learn autonomously. Unlike conventional approaches, this paper proposes an end-to-end approach that uses deep reinforcement learning for autonomous mobile robot navigation in an unknown environment. Two types of deep Q-learning agents, such as deep Q-network and double deep Q-network agents are proposed to enable the mobile robot to autonomously learn about collisio

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BARNES, NICK, and ZHI-QIANG LIU. "VISION GUIDED CIRCUMNAVIGATING AUTONOMOUS ROBOTS." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 06 (2000): 689–714. http://dx.doi.org/10.1142/s0218001400000489.

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We present a system for vision guided autonomous circumnavigation, allowing a mobile robot to navigate safely around objects of arbitrary pose, and avoid obstacles. The system performs model-based object recognition from an intensity image. By enabling robots to recognize and navigate with respect to particular objects, this system empowers robots to perform deterministic actions on specific objects, rather than general exploration and navigation as emphasized in much of the current literature. This paper describes a fully integrated system, and, in particular, introduces canonical-views. Furt

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Chakraborty, Prabandh P., and Vishwaraj R. Jadhav. "A Development of Autonomous Navigation of Solar Panel Cleaning robots using IOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44591.

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This project involves the development of autonomous robots designed to clean solar panels using IoT. The system utilizes IoT based integration for navigation and incorporates swarm intelligence with master and slave robots. The master robot is equipped with a vacuum pump, while the slave robot carries for cleaning the panels. The primary application of these robots is in desert environments. They are fully autonomous, relying on sensors for navigation collaborated to integrate IoT using swarm intelligence for overall control. Key Words: autonomous, swarm intelligence, vacuum pump, sensors, nav

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Ravankar, Abhijeet, Ankit A. Ravankar, Arpit Rawankar, and Yohei Hoshino. "Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance." Agriculture 11, no. 10 (2021): 954. http://dx.doi.org/10.3390/agriculture11100954.

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In recent years, autonomous robots have extensively been used to automate several vineyard tasks. Autonomous navigation is an indispensable component of such field robots. Autonomous and safe navigation has been well studied in indoor environments and many algorithms have been proposed. However, unlike structured indoor environments, vineyards pose special challenges for robot navigation. Particularly, safe robot navigation is crucial to avoid damaging the grapes. In this regard, we propose an algorithm that enables autonomous and safe robot navigation in vineyards. The proposed algorithm reli

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N, Yadagiri. "DESIGN AND DEVELOPMENT OF FERTILISER SPRAYING AGRICULTURAL ROBOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32553.

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Modern agriculture is ensured by the development and dissemination of agricultural automation and intelligence. The current focus of agricultural robot research is autonomous navigation, which can significantly improve labor productivity while effectively reducing labor requirements. It is the most successful robot in the agricultural field. The main functions of the robot are chassis control, navigation control, and mechanical design for fertilization and spreading. The main theme of robots is to reduce work, workload, burden and stress. Agriculture is an extremely resource- and labor-intensi

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Chen, Xinxiu, Yannan Chen, Jinyu Xu, and Yongxu Zheng. "SLAM-based Navigation Technology for Rescue Robots in Post-disaster Scenarios." Highlights in Science, Engineering and Technology 52 (July 4, 2023): 33–39. http://dx.doi.org/10.54097/hset.v52i.8722.

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In order to solve the problems of difficulty and high-risk factor in implementing rescue after disasters, this paper designs an intelligent rescue robot autonomous navigation system based on LIDAR synchronous positioning and map building, with a view to achieving autonomous navigation of robots in complex post-disaster scenarios to complete rescue tasks. Firstly, the autonomous navigation system senses the scene by LiDAR and uses gmapping algorithms to construct a map of the post-disaster environment. Secondly, adaptive Monte Carlo localization algorithm is used to achieve robot localization b

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Akai, Naoki, Yasunari Kakigi, Shogo Yoneyama, and Koichi Ozaki. "Development of Autonomous Mobile Robot that Can Navigate in Rainy Situations." Journal of Robotics and Mechatronics 28, no. 4 (2016): 441–50. http://dx.doi.org/10.20965/jrm.2016.p0441.

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[abstFig src='/00280004/02.jpg' width='300' text='Navigation under strong rainy condition' ] The Real World Robot Challenge (RWRC), a technical challenge for mobile outdoor robots, has robots automatically navigate a predetermined path over 1 km with the objective of detecting specific persons. RWRC 2015 was conducted in the rain and every robot could not complete the mission. This was because sensors on the robots detected raindrops and the robots then generated unexpected behavior, indicating the need to study the influence of rain on mobile navigation systems – a study clearly not yet suffi

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Samita Bhandari, Darsh Jobanputra, Aarya Mourya, and Dev Raval. "Intelligent Autonomous Mobile Robot with Integrated Visual and Sensor-Based Navigation." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 04 (2025): 1617–24. https://doi.org/10.47392/irjaeh.2025.0230.

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The rapid advancements in robotics and artificial intelligence have paved the way for the development of sophisticated Autonomous Mobile Robots (AMRs) capable of navigating and interacting with dynamic environments. In this research, an intelligent autonomous mobile robot equipped with integrated visual and sensor-based navigation is designed and developed. The robot incorporates key functionalities, including teleoperation, autonomous navigation, SLAM (Simultaneous Localization and Mapping) using LiDAR and cameras, object detection and classification, obstacle avoidance, object following, han

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Wu, Fei, and Yueyang Zhao. "Non-contact automatic COVID-19 nucleic acid detection robot." Applied and Computational Engineering 5, no. 1 (2023): 848–52. http://dx.doi.org/10.54254/2755-2721/5/20230726.

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This product is mainly used to realise the contactless automatic COVID-19 nucleic acid detection robot, which can navigate to the workstation or location of the set personnel through the camera and radar and is mainly applied to the autonomous movement function of the existing automatic nucleic acid detection robot. The robot will conduct intelligent navigation according to the position of the nucleic acid person, avoid obstacles autonomously through radar and camera, and use clever navigation to plan the nearest route to the position part of the needed nucleic acid. This product carries a cam

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Um, Dugan, Jangwoon Park, Jeongsik Shin, and Woo Ho Lee. "A Social Robot, “Dali,” for Aging in Place Technology." Journal of Robotics 2018 (October 1, 2018): 1–10. http://dx.doi.org/10.1155/2018/6739652.

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Healthcare has a trend of going hi-tech. With an aging population growing more than ever, researchers and health care providers are now relying on robots to ease the symptoms of dementia and help an aging population stay where they would like, at home. Several therapeutic robots such as Paro recently introduced in the markets are manifestation of such trends. In this paper, we propose a social robot missioned to autonomously capture images of people and feed multimedia contents to a social network or to a hospital for various social activities or for health monitoring purpose. The main technic

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SUI, JINXUE, LI YANG, XIN ZHANG, and XIA ZHANG. "LASER MEASUREMENT KEY TECHNOLOGIES AND APPLICATION IN ROBOT AUTONOMOUS NAVIGATION." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 07 (2011): 1127–46. http://dx.doi.org/10.1142/s0218001411008920.

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The laser ranging has extensive detection range and high measurement accuracy and so it is widely applied in navigation systems of the autonomous robot. But different environmental conditions have different influences on the transmission of the laser, producing errors of various degrees to measurement. The proposed range of influence in research on laser ranging LMS200 which is used in robot navigation under dissimilar conditions, by analyzing the primary factor that affects LMS200 ranging in a room and outside, contributing to the experimental contrast, obtaining experimental effects under en

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Bhole, Sanket. "Multipurpose Autonomous Navigation Robot (M.A.N.R)." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 5028–33. http://dx.doi.org/10.22214/ijraset.2024.62718.

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Abstract: The "Multipurpose Navigation Robot" project proposes the development of a highly versatile and adaptive robotic system capable of seamlessly navigating through diverse real-world environments such as restaurants, hospitals, and warehouses. The project centers around a modular design, featuring a flexible base chassis responsible for efficient and obstacle-free movement across various terrains and settings. The core innovation lies in the incorporation of easily attachable and detachable modules, enabling the robot to cater to specific tasks in different industries.

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R, Jayaparvathy, Sheeba Angel A, Nitin Baratwajj P, Srihaarika Vijappu, and Srisruthi sridhar. "Autonomous Indoor Navigation Robot." International Journal of Engineering and Technology 9, no. 5 (2017): 3931–44. http://dx.doi.org/10.21817/ijet/2017/v9i5/170905168.

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Mendhe, Vishal. "Autonomous Navigation Mobile Robot using ROS, Raspberry Pi, RP Lidar, and Differential Drive Kinematics." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49852.

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Abstract— Robots have transformed logistics, manufacturing, and exploration by automating tasks like mapping, navigation, or exploring the world. Additionally. The project is focused on creating an autonomous navigation robot that incorporates the latest technologies, including the Robot Operating System (ROS), Rapberry Pi 4 for computation, and RP Lidar for environmental scanning. Using differential drive (included in the robot) kinematics, it will be capable of real-time decision making and precise movement. Path planning and obstacle avoidance. By utilizing Simultaneous Localization and Map

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Waga, Abderrahim, Ayoub Ba-ichou, Said Benhlima, Ali Bekri, and Jawad Abdouni. "Efficient autonomous navigation for mobile robots using machine learning." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 3061. http://dx.doi.org/10.11591/ijai.v13.i3.pp3061-3071.

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The ability to navigate autonomously from the start to its final goal is the crucial key to mobile robots. To ensure complete navigation, it is mandatory to do heavy programming since this task is composed of several subtasks such as path planning, localization, and obstacle avoidance. This paper simplifies this heavy process by making the robot more intelligent. The robot will acquire the navigation policy from an expert in navigation using machine learning. We used the expert A*, which is characterized by generating an optimal trajectory. In the context of robotics, learning from demonstrati

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Abderrahim, Waga, Ba-ichou Ayoub, Benhlima Said, Bekri Ali, and Abdouni Jawad. "Efficient autonomous navigation for mobile robots using machine learning." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 3061–71. https://doi.org/10.11591/ijai.v13.i3.pp3061-3071.

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The ability to navigate autonomously from the start to its final goal is the crucial key to mobile robots. To ensure complete navigation, it is mandatory to do heavy programming since this task is composed of several subtasks such as path planning, localization, and obstacle avoidance. This paper simplifies this heavy process by making the robot more intelligent. The robot will acquire the navigation policy from an expert in navigation using machine learning. We used the expert A*, which is characterized by generating an optimal trajectory. In the context of robotics, learning from demonstrati

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Jimenez Builes, Jovani Alberto, Gustavo Acosta Amaya, and Julián López Velásquez. "Autonomous navigation and indoor mapping for a service robot." Investigación e Innovación en Ingenierías 11, no. 2 (2023): 28–38. http://dx.doi.org/10.17081/invinno.11.2.6459.

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Abstract Objective: Simultaneous Localization and Mapping (SLAM) is a quite common and interesting problem in mobile robotics. It is the basis of safe autonomous navigation of mobile robots and the entrance to new combined applications with a manipulator for instance. Method: In order to find a solution to the SLAM problem, the ROS middleware and the MRPT were selected. Autonomous navigation was tested using two methods, the MRPT navigation ROS package, which is a reactive navigation method based on Trajectory Parameter Space (TP-Space) transformations, and the ROS navigation stack, a st

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BESSEGHIEUR, Khadir, Wojciech KACZMAREK, and Jarosław PANASIUK. "Multi-robot Control via Smart Phone and Navigation in Robot Operating System." Problems of Mechatronics Armament Aviation Safety Engineering 8, no. 4 (2017): 37–46. http://dx.doi.org/10.5604/01.3001.0010.7316.

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Robot Operating System (ROS) is an open source robot software framework which provides several libraries and tools to easily conduct different robot applications like autonomous navigation and robot teleoperation. Most of the available packages across the ROS community are addressed for controlling a single robot. In this paper, we aim to extend some packages so, they can be used in multi-robot applications on ROS. Mainly, the multi-robot autonomous navigation and multi-robot smart phone teleoperation are addressed in this work. After being extended and compiled, the new packages are assessed

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Wijayathunga, Liyana, Alexander Rassau, and Douglas Chai. "Challengesand Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review." Applied Sciences 13, no. 17 (2023): 9877. http://dx.doi.org/10.3390/app13179877.

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The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, robots have achieved relatively high levels of autonomy. In more unstructured environments, however, the development of fully autonomous mobile robots remains challenging due to the complexity of understanding these environments. Many autonomous mobile robots use classical, learning-based or hybrid approaches for navigation. More recent learning-based methods may replace the

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Eguchi, Junji, and Koichi Ozaki. "Development of Autonomous Mobile Robot Based on Accurate Map in the Tsukuba Challenge 2014." Journal of Robotics and Mechatronics 27, no. 4 (2015): 346–55. http://dx.doi.org/10.20965/jrm.2015.p0346.

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<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/04.jpg"" width=""300"" /> Navigation method for mobile robots</div> We describe a navigation method for autonomous mobile robots and detail knowledge obtained through Tsukuba Challenge 2014 trial runs. The challenge requires robots to navigate autonomously 1.4 km in an urban area and to search for five persons in three areas. Accurate maps are important tools in localization on complex courses in autonomous outdoor navigation. We constructed an occupancy grid map using laser scanners, gyro-assiste

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Wu, Qihan. "Research on autonomous mobile robot maze navigation problem based on Dijkstras algorithm." Applied and Computational Engineering 39, no. 1 (2024): 10–17. http://dx.doi.org/10.54254/2755-2721/39/20230570.

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In recent years, the field of autonomous mobile robotics has garnered significant attention due to its potential applications in various domains such as logistics, surveillance, and search and rescue operations. A crucial challenge in this area is the efficient navigation of robots within complex and dynamic environments, particularly when navigating through maze-like structures. The maze navigation problem involves finding optimal paths for robots to traverse from their initial positions to designated destinations while avoiding obstacles and making intelligent decisions to ensure timely and

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Vasu, V., and K. Jyothi Kumar. "Optimal Path Planning of an Autonomous Mobile Robot Using Genetic Algorithm." Advanced Materials Research 488-489 (March 2012): 1747–51. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1747.

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An autonomous Mobile Robot (AMR) is a machine able to extract information from its environment and move in a meaningful and purposeful manner. Robot Navigation and Obstacle avoidance are the most important problems in mobile robots. In the past, a number of soft computing algorithms have been designed by many researchers for robot navigation problems but very few are actually implementable because they haven’t considered robot size as parameter. This paper presents software simulation and hardware implementation of navigation of a mobile robot avoiding obstacles and selecting optimal path in a

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Huang, Zhihong, and Jianping Geng. "Research on laser-based mobile robot SLAM and autonomous navigation." Journal of Physics: Conference Series 2711, no. 1 (2024): 012021. http://dx.doi.org/10.1088/1742-6596/2711/1/012021.

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Abstract SLAM (Simultaneous Localization and Mapping) and autonomous navigation systems, as fundamental components of mobile robots, largely determine their ability to accomplish tasks. While research on laser-based SLAM and autonomous navigation algorithms in simulated environments has achieved significant success, there is limited research on deploying these algorithms on physical mobile robots, conducting real-world experiments to provide practical data for validating the accuracy and applicability of theoretical models. This paper begins by presenting the system architecture of the mobile

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Siswoyo, Agus, and Rodik Wajyu Indrawan. "Design and control of an autonomous visitor guiding robot in a hospital environment (Viguro Robot)." J-Innovation 12, no. 1 (2023): 12–19. http://dx.doi.org/10.55600/jipa.v12i1.147.

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In recent years, the development of autonomous robots for healthcare applications has gained significant interest. This paper presents the design and development of an autonomous robot tailored for guiding visitors in healthcare facilities, aiming to enhance their experience and provide efficient navigation. Equipped with huskylens cameras, proximity sensors, and other sensors, the robot perceives its environment and detects obstacles. A robust navigation system incorporates mapping and localization algorithms, enabling real-time mapping and accurate positioning. Through a user-friendly interf

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Kosser, Fazina, and Neerendra Kumar. "Autonomous Robot Navigation in Known Environment." International Journal of Recent Technology and Engineering (IJRTE) 12, no. 2 (2023): 128–32. http://dx.doi.org/10.35940/ijrte.f7505.0712223.

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Autonomous robot navigation is one of the challenging researched topic in robotics. A secure and optimal path in known environment is required for any mobile robot navigation for navigation purpose. In this work, a Simulink model is proposed based on Pure Pursuit and path following controllers for solving the problem of mobile robot navigation in a known environment is presented. Pure Pursuit controller is used to find the linear and angular velocities of the robot. Moreover, (x, y) coordinate position of robot and waypoints are input to the pure pursuit block. Velocity commands are sent to dr

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Fazina, Kosser, and Kumar Neerendra. "Autonomous Robot Navigation in Known Environment." International Journal of Recent Technology and Engineering (IJRTE) 12, no. 2 (2023): 128–32. https://doi.org/10.35940/ijrte.F7505.0712223.

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<strong>Abstract: </strong>Autonomous robot navigation is one of the challenging researched topic in robotics. A secure and optimal path in known environment is required for any mobile robot navigation for navigation purpose. In this work, a Simulink model is proposed based on Pure Pursuit and path following controllers for solving the problem of mobile robot navigation in a known environment is presented. Pure Pursuit controller is used to find the linear and angular velocities of the robot. Moreover, (x, y) coordinate position of robot and waypoints are input to the pure pursuit block. Veloc

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Stavrinidis, Stavros, and Paraskevi Zacharia. "An ANFIS-Based Strategy for Autonomous Robot Collision-Free Navigation in Dynamic Environments." Robotics 13, no. 8 (2024): 124. http://dx.doi.org/10.3390/robotics13080124.

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Autonomous navigation in dynamic environments is a significant challenge in robotics. The primary goals are to ensure smooth and safe movement. This study introduces a control strategy based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). It enhances autonomous robot navigation in dynamic environments with a focus on collision-free path planning. The strategy uses a path-planning technique to develop a trajectory that allows the robot to navigate smoothly while avoiding both static and dynamic obstacles. The developed control system incorporates four ANFIS controllers: two are tasked with

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He, Xuemei, Yin Kuang, Ning Song, and Fan Liu. "Intelligent Navigation of Indoor Robot Based on Improved DDPG Algorithm." Mathematical Problems in Engineering 2023 (April 13, 2023): 1–11. http://dx.doi.org/10.1155/2023/6544029.

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Targeting the problem of autonomous navigation of indoor robots in large-scale, complicated, and unknown environments, an autonomous online decision-making algorithm based on deep reinforcement learning is put forward in this paper. Traditional path planning methods rely on the environment modeling, which can cause more workload of calculating. In this paper, the sensors to detect surrounding obstacles are combined with the DDPG (deep deterministic policy gradient) algorithm to input environmental perception and control the action direct output, which enables robots to complete the tasks of au

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Nguyen Lan Anh. "AN INTEGERATED NAVIGATION SYSTEM FOR AUTONOMOUS MOBILE ROBOT IN DYNAMIC ENVIROMENTS." Journal of Military Science and Technology, no. 66A (May 6, 2020): 32–46. http://dx.doi.org/10.54939/1859-1043.j.mst.66a.2020.32-46.

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To enable an autonomous mobile robot to navigate safely in a dy- namic environment, the mobile robot must address four typical functional blocks of the navigation system including perception, localization, motion planning, and motor control. In this study, we present an integrated navigation system for the autonomous mobile robot in the dynamic environment by incorporating the techniques proposed in our previous studies, including object detection and tracking system, localization system and motion planning system, into a completed navigation system. In addition, we propose an extended timed e

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A S H, Afreen Fathima, Kirthana R, Nishandhine U, and Elavarasi J. "Autonomous Robot Navigation Using Adaptive Potential Field." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–7. http://dx.doi.org/10.55041/ijsrem37250.

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This work presents a novel approach to mobile robot autonomous navigation, utilizing enhanced artificial potential fields in conjunction with path planning,obstacle avoidance and SLAM . In traditional adaptive potential fields, which integrate sensor data to enable robots to navigate safely and efficiently through various environments. The robot's perception of its surroundings, obtained through sensors like cameras, ultrasonic devices, is processed to create a dynamic potential field that reflects the spatial distribution of obstacles, goals, and other relevant features.We propose the design

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Dickens, John, Thabisa Maweni, Tiro Setati, and Zubair Suddoo. "Design of HERMES: a mobile autonomous surveillance robot for security patrol." MATEC Web of Conferences 388 (2023): 04005. http://dx.doi.org/10.1051/matecconf/202338804005.

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The HERMES autonomous surveillance robot platform is a low-cost outdoor autonomous surveillance vehicle. It is designed to autonomously patrol outdoor areas performing surveillance and providing automated alerts of detected vehicles and people. The design and testing of this system are covered in this paper. The design philosophy focused on the use of off-the-shelf components wherever possible with the base of the robot being a modified electric quadbike. The testing has verified that the surveillance robot can perform real-time person and vehicle detection, video streaming, manual and autonom

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Rajesh, Kannan Megalingam, S. Naick Vignesh, Motheram Manaswini, Yannam Jahnavi, Chowdary Gutlapalli Nikhil, and Sivanantham Vinu. "Robot operating system based autonomous navigation platform with human robot interaction." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 21, no. 3 (2023): 675–83. https://doi.org/10.12928/telkomnika.v21i3.24257.

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In emerging technologies, indoor service robots are playing a vital role for people who are physically challenged and visually impaired. The service robots are efficient and beneficial for people to overcome the challenges faced during their regular chores. This paper proposes the implementation of autonomous navigation platforms with human-robot interaction which can be used in service robots to avoid the difficulties faced in daily activities. We used the robot operating system (ROS) framework for the implementation of algorithms used in auto navigation, speech processing and recognition, an

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S, Abhijith, and Dr Sreeja S. "Autonomous Navigation of Indoor Service Robot with Object Recognition using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 2339–53. http://dx.doi.org/10.22214/ijraset.2022.44316.

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Abstract: Indoor Service robots are becoming popular day by day. The task of service robot is to perform some predefined tasks originally done by human in houses, schools, offices etc. This paper proposes an autonomous indoor service robot system integrated with multi-sensors such as Lidar and Kinect for the smooth functioning of indoor service robots. Firstly, a map of the environment is created using Simultaneous Localization and Mapping (SLAM), a commonly used technique for creating map and positioning the robot at the same. In this paper different Lidar-based SLAM are compared and the best

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Ušinskis, Vygantas, Michał Nowicki, Andrius Dzedzickis, and Vytautas Bučinskas. "Sensor-Fusion Based Navigation for Autonomous Mobile Robot." Sensors 25, no. 4 (2025): 1248. https://doi.org/10.3390/s25041248.

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Navigation systems are developing rapidly; nevertheless, tasks are becoming more complex, significantly increasing the number of challenges for robotic systems. Navigation can be separated into global and local navigation. While global navigation works according to predefined data about the environment, local navigation uses sensory data to dynamically react and adjust the trajectory. Tasks are becoming more complex with the addition of dynamic obstacles, multiple robots, or, in some cases, inspection of places that are not physically reachable by humans. Cognitive tasks require not only detec

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Umme, Hani, and Moin Lubna. "Realtime autonomous navigation in V-Rep based static and dynamic environment using EKF-SLAM." IAES International Journal of Robotics and Automation (IJRA) 10, no. 4 (2021): 296–307. https://doi.org/10.11591/ijra.v10i4.pp296-307.

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Localization in an autonomous mobile robot allows it to operate autonomously in an unknown and unpredictable environment with the ability to determine its position and heading. Simultaneous localization and mapping (SLAM) are introduced to solve the problem where no prior information about the environment is available either static or dynamic to achieve standard map-based localization. The primary focus of this research is autonomous mobile robot navigation using the extended Kalman filter (EKF)-SLAM environment modeling technique which provides higher accuracy and reliability in mobile robot

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Mohan, P. Aswanth. "Autonomous Search and Rescue Robot." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42049.

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- In disaster-stricken environments, traditional search and rescue methods often encounter significant challenges due to adverse conditions such as smoke, fog, darkness, or complex terrains. Advancements in autonomous robotics and sensor technologies provide effective solutions to enhance the efficiency and reliability of rescue operations. This work focuses on the development of an autonomous search and rescue robot equipped with LiDAR based mapping and thermal imaging technology. The LiDAR system enables real-time 2D mapping of the environment, ensuring precise navigation and obstacle avoida

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Kumar, S., M. Majeedullah, A. B. Buriro, and Rohibullah. "Autonomous Navigation and Real Time Mapping Using Ultrasonic Sensors in NAO Humanoid Robot." Engineering, Technology & Applied Science Research 12, no. 5 (2022): 9102–7. http://dx.doi.org/10.48084/etasr.5180.

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Mapping is an essential and basic requirement for a mobile robot in order to be able to navigate autonomously. This paper proposes a solution for autonomous navigation and real-time mapping using the virtual humanoid robot called NAO. The robot navigates through its environment using ultrasonic sensors only and develops a 2-D map of the environment. For implementation and testing, the Webots simulator was used. It provides real-time values, modification and designing of the 3-D world arena, and plugins for other parameters control. We test autonomous navigation in differently shaped environmen

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Yi, Yunlong, and Ying Guan. "Research on Autonomous Navigation and Control Algorithm of Intelligent Robot based on Reinforcement Learning." Scalable Computing: Practice and Experience 26, no. 1 (2025): 423–31. https://doi.org/10.12694/scpe.v26i1.3841.

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The last few decades have seen impressive developments in the field of robotics, especially in the areas of autonomous navigation and control. Robust algorithms that can facilitate effective decision-making in real-time settings are needed as the need for intelligent robots that can function in complex and dynamic contexts grows. Through trial-and-error interactions with their surroundings, reinforcement learning (RL) has become a promising method for teaching intelligent agents to navigate and control robots independently. The purpose of this study is to look at the creation and use of reinfo

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Halilovic, Amar. "Explainable Robot Navigation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29261–62. https://doi.org/10.1609/aaai.v39i28.35208.

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As the use of autonomous mobile robots expands into dynamic and complex environments, the need for them to provide understandable explanations for their actions becomes crucial. This thesis addresses the challenge of developing explainability for robot navigation by leveraging a hybrid model that combines machine learning techniques with symbolic reasoning methods. Furthermore, the thesis explores the modeling of human explanation preferences and the impact of different explanation attributes on explanation recipients' understanding, satisfaction, and trust. The goal is to integrate different

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Tang, Lixin, and Shin'ichi Yuta. "Mobile Robot Playback Navigation Based on Robot Pose Calculation Using Memorized Omnidirectional Images." Journal of Robotics and Mechatronics 14, no. 4 (2002): 366–74. http://dx.doi.org/10.20965/jrm.2002.p0366.

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We propose a method of autonomous navigation for mobile robots in indoor environments by a teaching and playback scheme. During teaching, an operator guides a robot to move by manual control. While moving, the robot memorizes its motion measured by odometry and an environmental image taken by an omnidirectional camera at each time interval, and regards places where images were taken as target positions. When navigating autonomously, the robot plays back memorized motion to track each target position and corrects its position by calculating its relative pose using current and memorized images,

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de Sousa Bezerra, Carlos Daniel, Flávio Henrique Teles Vieira, and Daniel Porto Queiroz Carneiro. "Autonomous Robotic Navigation Approach Using Deep Q-Network Late Fusion and People Detection-Based Collision Avoidance." Applied Sciences 13, no. 22 (2023): 12350. http://dx.doi.org/10.3390/app132212350.

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In this work, we propose an approach for the autonomous navigation of mobile robots using fusion the of sensor data by a Double Deep Q-Network with collision avoidance by detecting moving people via computer vision techniques. We evaluate two data fusion methods for the proposed autonomous navigation approach: Interactive and Late Fusion strategy. Both are used to integrate mobile robot sensors through the following sensors: GPS, IMU, and an RGB-D camera. The proposed collision avoidance module is implemented along with the sensor fusion architecture in order to prevent the autonomous mobile r

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Kiselev, Sergey K., and Tuan T. Van. "CONTROL OF A GROUND MOBILE ROBOT MOTION IN CASE OF THE NAVIGATIONAL DATA CORRUPTION OF THE SATELLITE NAVIGATION SYSTEM." Автоматизация процессов управления 2, no. 64 (2021): 4–12. http://dx.doi.org/10.35752/1991-2927-2021-2-64-4-12.

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The article discusses the determination of navigational data corruption, which received by the satellite navigation system as well as traffic control of ground mobile robots. It also specifies the movement features of ground robots, which affect the data integrity monitoring. It proposes an algorithm of control to implement the methods of autonomous onboard monitoring of the navigational data integrity. The algorithm is based on the equations of signal correspondence in various parts of the control system. It is designed to determine the inoperability of the satellite navigation system that im

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Sleaman, Walead Kaled, and Sırma Yavuz. "Indoor mobile robot navigation using deep convolutional neural network." Journal of Intelligent & Fuzzy Systems 39, no. 4 (2020): 5475–86. http://dx.doi.org/10.3233/jifs-189030.

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Robot can help human in their everyday life and routine. These are not an indoor robot which was designed to perform desired task, but they can adapt to our environment by themselves and to learn from their own experiences. In this research we focus on high degree of autonomy, which is a must for social robots. For training purpose autonomous exploration and unknown environments is used along with proper algorithm so that robot can adapt to unknown environments. For testing purpose, simulation is carried with sensor fusion method, so that real world noise can be reduced and accuracy can be inc

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