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Journal articles on the topic 'Autonomous Robots'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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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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Eda, Tomoyoshi, Tadahiro Hasegawa, Shingo Nakamura, and Shin’ichi Yuta. "Development of Autonomous Mobile Robot “MML-05” Based on i-Cart Mini for Tsukuba Challenge 2015." Journal of Robotics and Mechatronics 28, no. 4 (2016): 461–69. http://dx.doi.org/10.20965/jrm.2016.p0461.

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[abstFig src='/00280004/04.jpg' width='300' text='Autonomous mobile robots entered in the Tsukuba Challenge 2015' ] This paper describes a self-localization method for autonomous mobile robots entered in the Tsukuba Challenge 2015. One of the important issues in autonomous mobile robots is accurately estimating self-localization. An occupancy grid map, created manually before self-localization has typically been utilized to estimate the self-localization of autonomous mobile robots. However, it is difficult to create an accurate map of complex courses. We created an occupancy grid map combinin

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Kurabayashi, Daisuke, and Hajime Asama. "Autonomous Knowledge Acquisition and Revision by Intelligent Data Carriers in a Dynamic Environment." Journal of Robotics and Mechatronics 13, no. 2 (2001): 154–59. http://dx.doi.org/10.20965/jrm.2001.p0154.

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In this paper, we built a device and algorithm for implementation in autonomous robots that can enhance efficiency through autonomous knowledge acquisition and sharing. We also propose an algorithm to adapt our robotic system to dynamic environments. In this robotic system, the ""Intelligent Data Carrier"" provides navigational knowledge for autonomous mobile robots. An IDC summarizes fragmyents of knowledge from individual robots and tells the best direction toward a destination at which a robot wants to arrive. We make models of dynamic environments, and investigate the behaviors of autonomo

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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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BEKEY, GEORGE A. "On autonomous robots." Knowledge Engineering Review 13, no. 2 (1998): 143–46. http://dx.doi.org/10.1017/s0269888998002033.

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Autonomous robots are the intelligent agents par excellence. We frequently define a robot as a machine that senses, thinks and acts, i.e., an agent. They are distinguished from software agents in that robots are embodied agents, situated in the real world. As such, they are subject both to the joys and sorrows of the world. They can be touched and seen and heard (sometimes even smelled!), they have physical dimensions, and they can exert force on other objects. These objects can be like a ball in the RoboCup or Mirosot robot soccer games, they can be parts to be assembled, airplanes to be wash

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Hernandez, Joannes Paulus Tolentino. "Compassionate Care with Autonomous AI Humanoid Robots in Future Healthcare Delivery: A Multisensory Simulation of Next-Generation Models." Biomimetics 9, no. 11 (2024): 687. http://dx.doi.org/10.3390/biomimetics9110687.

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The integration of AI and robotics in healthcare raises concerns, and additional issues regarding autonomous systems are anticipated. Effective communication is crucial for robots to be seen as “caring”, necessitating advanced mechatronic design and natural language processing (NLP). This paper examines the potential of humanoid robots to autonomously replicate compassionate care. The study employs computational simulations using mathematical and agent-based modeling to analyze human–robot interactions (HRIs) surpassing Tetsuya Tanioka’s TRETON. It incorporates stochastic elements (through neu

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Takahashi, Kiyoaki, Takafumi Ono, Tomokazu Takahashi, Masato Suzuki, Yasuhiko Arai, and Seiji Aoyagi. "Performance Evaluation of Robot Localization Using 2D and 3D Point Clouds." Journal of Robotics and Mechatronics 29, no. 5 (2017): 928–34. http://dx.doi.org/10.20965/jrm.2017.p0928.

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Autonomous mobile robots need to acquire surrounding environmental information based on which they perform their self-localizations. Current autonomous mobile robots often use point cloud data acquired by laser range finders (LRFs) instead of image data. In the virtual robot autonomous traveling tests we have conducted in this study, we have evaluated the robot’s self-localization performance on Normal Distributions Transform (NDT) scan matching. This was achieved using 2D and 3D point cloud data to assess whether they perform better self-localizations in case of using 3D or 2D point cloud dat

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Alzoubi, Saleem, and Mahdi H. Miraz. "Enhancing Robot Navigation Efficiency Using Cellular Automata with Active Cells." Annals of Emerging Technologies in Computing 8, no. 2 (2024): 56–70. http://dx.doi.org/10.33166/aetic.2024.02.005.

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Enhancing robot navigation efficiency is a crucial objective in modern robotics. Robots relying on external navigation systems are often susceptible to electromagnetic interference (EMI) and encounter environmental disturbances, resulting in orientation errors within their surroundings. Therefore, the study employed an internal navigation system to enhance robot navigation efficacy under interference conditions, based on the analysis of the internal parameters and the external signals. This article presents details of the robot’s autonomous operation, which allows for setting the robot's traje

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Yuta, Shin'ichi. "Open Experiment of Autonomous Navigation of Mobile Robots in the City: Tsukuba Challenge 2014 and the Results." Journal of Robotics and Mechatronics 27, no. 4 (2015): 318–26. http://dx.doi.org/10.20965/jrm.2015.p0318.

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<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/01.jpg"" width=""300"" /> Autonomous mobile robot in RWRC 2014</div> The Tsukuba Challenge, an open experiment for autonomous mobile robotics researchers, lets mobile robots travel in a real – and populated – city environment. Following the challenge in 2013, the mobile robots must navigate autonomously to their destination while, as the task of Tsukuba Challenge 2014, looking for and finding specific persons sitting in the environment. Total 48 teams (54 robots) seeking success in this complex ch

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Xiong, Minglei, and Guangming Xie. "Swarm Game and Task Allocation for Autonomous Underwater Robots." Journal of Marine Science and Engineering 11, no. 1 (2023): 148. http://dx.doi.org/10.3390/jmse11010148.

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Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm’s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots have different cooperative attributes, as some are more selfish and others more altruistic. Specifically, we designed two experiments: target search and target moving, aiming to reveal the relationship between individual cooperation and group task achievement in a robot swarm as a collaborative strategy. The task information is shared among the ro

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Huo, Jianwen, Manlu Liu, Konstantin A. Neusypin, Haojie Liu, Mingming Guo, and Yufeng Xiao. "Autonomous Search of Radioactive Sources through Mobile Robots." Sensors 20, no. 12 (2020): 3461. http://dx.doi.org/10.3390/s20123461.

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The research of robotic autonomous radioactivity detection or radioactive source search plays an important role in the monitoring and disposal of nuclear safety and biological safety. In this paper, a method for autonomously searching for radioactive sources through mobile robots was proposed. In the method, by using a partially observable Markov decision process (POMDP), the search of autonomous unknown radioactive sources was realized according to a series of radiation information measured by mobile robot. First, the factors affecting the accuracy of radiation measurement during the robot’s

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Maroto-Gómez, Marcos, Javier Burguete-Alventosa, Sofía Álvarez-Arias, María Malfaz, and Miguel Ángel Salichs. "A Bio-Inspired Dopamine Model for Robots with Autonomous Decision-Making." Biomimetics 9, no. 8 (2024): 504. http://dx.doi.org/10.3390/biomimetics9080504.

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Decision-making systems allow artificial agents to adapt their behaviours, depending on the information they perceive from the environment and internal processes. Human beings possess unique decision-making capabilities, adapting to current situations and anticipating future challenges. Autonomous robots with adaptive and anticipatory decision-making emulating humans can bring robots with skills that users can understand more easily. Human decisions highly depend on dopamine, a brain substance that regulates motivation and reward, acknowledging positive and negative situations. Considering rec

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Uchiyama, Naoki, Shigenori Sano, and Akihiro Yamamoto. "Sound source tracking considering obstacle avoidance for a mobile robot." Robotica 28, no. 7 (2010): 1057–64. http://dx.doi.org/10.1017/s0263574709990919.

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SUMMARYSound source tracking is an important function for autonomous robots, because sound is omni-directional and can be recognized in dark environment. This paper presents a new approach to sound source tracking for mobile robots using auditory sensors. We consider a general type of two-wheeled mobile robot that has wide industrial applications. Because obstacle avoidance is also an indispensable function for autonomous mobile robots, the robot is equipped with distance sensors to detect obstacles in real time. To deal with the robot's nonholonomic constraint and combine information from the

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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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Sarhan, Ahmed, Antoine Sarrazin, Lancelot Martin, and James Gao. "Flexible delivery by an autonomous robot in a secure building." MATEC Web of Conferences 401 (2024): 08010. http://dx.doi.org/10.1051/matecconf/202440108010.

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In industrial settings, autonomous robotic systems have become more common. Companies use autonomous robots to optimise repetitive, time-consuming tasks and improve efficiency. Strategically integrating robots frees up human resources from manual tasks to boost workplace efficiency and productivity. As they pursue Industry 4.0 goals, companies need autonomous robots to meet strict security standards. This depends on preserving confidentiality regarding sensitive information and protecting personnel health and safety. The mobile robot in this experiment aimed to simplify the transportation of s

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Ni, Jianjun, Yan Chen, Guangyi Tang, Jiamei Shi, Weidong Cao, and Pengfei Shi. "Deep learning-based scene understanding for autonomous robots: a survey." Intelligence & Robotics 3, no. 3 (2023): 374–401. http://dx.doi.org/10.20517/ir.2023.22.

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Autonomous robots are a hot research subject within the fields of science and technology, which has a big impact on social-economic development. The ability of the autonomous robot to perceive and understand its working environment is the basis for solving more complicated issues. In recent years, an increasing number of artificial intelligence-based methods have been proposed in the field of scene understanding for autonomous robots, and deep learning is one of the current key areas in this field. Outstanding gains have been attained in the field of scene understanding for autonomous robots b

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Tokunaga, Shinya, Chinthaka Premachandra, H. Waruna H. Premachandra, Hiroharu Kawanaka, Sagara Sumathipala, and B. S. Sudantha. "Autonomous Spiral Motion by a Small-Type Robot on an Obstacle-Available Surface." Micromachines 12, no. 4 (2021): 375. http://dx.doi.org/10.3390/mi12040375.

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Several robot-related studies have been conducted in recent years; however, studies on the autonomous travel of small mobile robots in small spaces are lacking. In this study, we investigate the development of autonomous travel for small robots that need to travel and cover the entire smooth surface, such as those employed for cleaning tables or solar panels. We consider an obstacle-available surface and target this travel on it by proposing a spiral motion method. To achieve the spiral motion, we focus on developing autonomous avoidance of obstacles, return to original path, and fall preventi

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Sun, Mingchen. "Application of Laser Ranging in Path Planning of Mobile Medical Robot." Advances in Engineering Technology Research 4, no. 1 (2023): 606. http://dx.doi.org/10.56028/aetr.4.1.606.2023.

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Compared with traditional industrial robots, mobile robots with autonomous sensing, decision-making and execution functions have broad application prospects. With the continuous development of computer science and sensor technology, the research of mobile medical robot is also developing in the direction of intelligence and autonomy. The mobile medical robot senses the environmental information and its own state through sensors, and realizes the autonomous movement facing the target in the environment with obstacles, thus completing the medical functions specified by the designer. When applied

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Kirci, Sedanur, and Gokhan Atali. "EuroPallet Detection with RGB-D Camera Based on Deep Learning." European Journal of Research and Development 3, no. 4 (2023): 55–65. http://dx.doi.org/10.56038/ejrnd.v3i4.341.

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This study related to enhancing processes and production efficiency in industrial settings by opting for autonomous mobile robots dedicated to indoor transportation and logistics. The specific focus of this research is on employing deep learning for the detection of Euro pallet objects, enabling a mobile robot, specifically the Servant-T1500 model by Kar Metal company with natural navigation capabilities, to autonomously dock and handle palletized loads with precision.  To accomplish this, an original dataset was curated using an RGB-D camera, and data augmentation techniques were applie

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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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Poskart, Bartosz, Grzegorz Iskierka, Kamil Krot, Robert Burduk, Paweł Gwizdal, and Arkadiusz Gola. "Multi-Parameter Predictive Model of Mobile Robot’s Battery Discharge for Intelligent Mission Planning in Multi-Robot Systems." Sensors 22, no. 24 (2022): 9861. http://dx.doi.org/10.3390/s22249861.

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The commercially available battery management and mission scheduling systems for fleets of autonomous mobile robots use different algorithms to calculate the current state of charge of the robot’s battery. This information alone cannot be used to predict whether it will be possible for a single robot in the fleet to execute all of the scheduled missions. This paper provides insight into how to develop a universal battery discharge model based on key mission parameters, which allows for predicting the battery usage over the course of the scheduled missions and can, in turn, be used to determine

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Ohya, Akihisa, Koichi Ozaki, Tomohito Takubo, Shin’ichi Yuta, and Yoshihiro Takita. "Special Issue on Autonomous Robotics Challenge." Journal of Robotics and Mechatronics 35, no. 6 (2023): 1405. http://dx.doi.org/10.20965/jrm.2023.p1405.

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The Tsukuba Challenge and the Nakanoshima Robot Challenge are both technical challenges in which mobile robots run autonomously in real outdoor environments. They have been held almost every year since 2007 and 2018, respectively, and many robots have participated in these public experiments. The autonomous navigation of a mobile robot in the real world, that is, not on test tracks but in environments normally used by everyday people, poses a great many challenges. The robots have to deal with environments that change with the time of day, the weather, the season, etc., and they have to deal w

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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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Bayer, Jan, Petr Cížek, and Jan Faigl. "Autonomous Multi-robot Exploration with Ground Vehicles in DARPA Subterranean Challenge Finals." Field Robotics 3, no. 1 (2023): 266–300. http://dx.doi.org/10.55417/fr.2023008.

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Autonomous navigation and multi-robot exploration framework for ground robots are key parts of the robotic system deployed by the team CTU-CRAS-NORLAB in the final event of the Subterranean (SubT) Challenge organized by the Defense Advanced Research Projects Agency (DARPA) in 2021. The SubT Challenge aimed to advance technologies related to search-and-rescue missions with multi-robot systems in underground environments where communication is unavailable and global navigation satellite systems are denied. This field report describes the developed multi- robot exploration framework focusing on p

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Mendoza, Juan Pablo, Reid Simmons, and Manuela Veloso. "Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions." International Journal of Robotics Research 38, no. 8 (2019): 887–909. http://dx.doi.org/10.1177/0278364919845047.

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Autonomous robots frequently rely on models of their sensing and actions for intelligent decision making. Unfortunately, in complex environments, robots are bound to encounter situations in which their models do not accurately represent the world. Furthermore, these context-dependent model inaccuracies may be subtle, such that multiple observations may be necessary to distinguish them from noise. This paper formalizes the problem of detection and correction of such subtle contextual model inaccuracies in autonomous robots, and presents an algorithm to address this problem. The solution relies

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Matsui, Nobuyuki, Isuru Jayarathne, Hiroaki Kageyama, et al. "Local and Global Path Planning for Autonomous Mobile Robots Using Hierarchized Maps." Journal of Robotics and Mechatronics 34, no. 1 (2022): 86–100. http://dx.doi.org/10.20965/jrm.2022.p0086.

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We are currently facing a “labor crisis,” particularly in the field of logistics, because of reductions in the labor force. Therefore, industries must make their logistics more efficient by utilizing autonomous mobile robotics technologies. This paper proposes a hierarchized map concept that makes unmanned delivery tasks which use multiple autonomous robots more efficiently. Using our proposed concept, an autonomous mobile robot can move automatically on a more efficient path than using current methods. In addition, the management platform for autonomous robots can be used to prevent accidents

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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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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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N., Divya, Prasanna Mohan M., Prasanna Sekaran E., and Pavithra N. "Autonomous Robot On-Pipe Leak Detection." June 2024 6, no. 2 (2024): 186–98. http://dx.doi.org/10.36548/jeea.2024.2.008.

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The research addresses the critical need for efficient and cost-effective pipe inspection methods in modern infrastructure, focusing on the maintenance of water and gas delivery systems. The objective is to improve defect detection and maintenance processes in pipes, reducing downtime and operational costs. The proposed method involves deploying pipe inspection robots, with an emphasis on on-pipe robots tailored for specific applications such as urban gas lines, small feeder pipes, and sewer systems. These robots are categorized into seven sub-types, including wheel-type, inchworm-style, AI-po

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Ma, Xi Pei, Bing Feng Qian, Song Jie Zhang, and Ye Wang. "Research on Technology and Application of Multi-Sensor Data Fusion for Indoor Service Robots." Applied Mechanics and Materials 651-653 (September 2014): 831–34. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.831.

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The autonomous navigation process of a mobile service robot is usually in uncertain environment. The information only given by sensors has been unable to meet the demand of the modern mobile robots, so multi-sensor data fusion has been widely used in the field of robots. The platform of this project is the achievement of the important 863 Program national research project-a prototype nursing robot. The aim is to study a mobile service robot’s multi-sensor information fusion, path planning and movement control method. It can provide a basis and practical use’s reference for the study of an indo

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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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Dong, Qin. "Path Planning Algorithm Based on Visual Image Feature Extraction for Mobile Robots." Mobile Information Systems 2022 (July 1, 2022): 1–9. http://dx.doi.org/10.1155/2022/4094472.

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When autonomous mobile robots plan their own movements properly, they first need to perceive the surrounding environment and then make comprehensive decisions based on the surrounding environment information, that is, path planning. Vision can provide abundant and complete environmental information for robots, and it can significantly improve the effect of path planning when it is introduced into the path planning of autonomous robots. In this article, we take the autonomous mobile robot AS-R as the research object and use the multisensors such as a gimbal camera and ultrasonic sensor attached

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Singh, Prashant, and Dinesh Kumar. "Autonomous Robots in Manufacturing." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 2 (2019): 1175–79. http://dx.doi.org/10.61841/turcomat.v10i2.14391.

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Thе abstract for a rеsеarch papеr on "Autonomous Robots in Manufacturing" еnvisions a comprеhеnsivе еxploration into thе transformativе impact of autonomous robotic systеms on modеrn manufacturing procеssеs. This rеsеarch invеstigatеs thе intеgration of autonomous robots within manufacturing еnvironmеnts, focusing on thеir capabilitiеs, implications, and thеbroadеr ramifications for еfficiеncy, safеty, and еconomic factors. Thе study dеlvеs into thе tеchnological advancеmеnts that еnablе autonomy in robots, including sеnsor tеchnologiеs, machinе lеarning algorithms, and rеal-timе dеcision-maki

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Lytridis, Chris, Christos Bazinas, Ioannis Kalathas, et al. "Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots." Robotics 12, no. 6 (2023): 147. http://dx.doi.org/10.3390/robotics12060147.

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The development of agricultural robots is an increasingly popular research field aiming at addressing the widespread labor shortages in the farming industry and the ever-increasing food production demands. In many cases, multiple cooperating robots can be deployed in order to reduce task duration, perform an operation not possible with a single robot, or perform an operation more effectively. Building on previous results, this application paper deals with a cooperation strategy that allows two heterogeneous robots to cooperatively carry out grape harvesting, and its implementation is demonstra

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Muda, Nur Rachman Supadmana, Nugraha Gumilar, R. Djoko Andreas Navalino, Tirton N, and M. Iman Hidayat. "Implementation of Autonomous Control System of The Chain Wheel Robot Using the Backpropagation Artificial Neural Network (ANN) Methods." Volume 5 - 2020, Issue 8 - August 5, no. 8 (2020): 1230–35. http://dx.doi.org/10.38124/ijisrt20aug688.

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The purpose of this research is to implement the Artificial Neural Network (ANN) method in combat robots so it can be directed to shoot targets well. The robot control system uses remote control and autonomous. In the autonomous robot system, ANN back propagation method is applied, where the weight value variable depends on ultrasonic sensor, GPS and camera. The microcontroller system will process automatically depending on the sensor input. Output data is used to direct the robot to the target, tracking and shooting. Robot is used chain wheel systems and weapons that used pistol types. The ri

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Iyengar, Pranav, and Ashish Umbarkar. "Development of Autonomous Indoor Floor Cleaning Robot." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 3 (2022): 6–10. http://dx.doi.org/10.35940/ijrte.c7199.0911322.

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- Cleanliness plays an important role in everyday life. It is the most popular method of maintaining our surroundings free of contaminants and illnesses, as well as for social and academic well-being. Recently, a few cleaning-arrangements have become available to maintain your home dust-free. Machine-Controlled For the betterment of humanity, floor cleaners were given. In recent years, cleanliness has been a critical aspect in improving one's own health, so we are developing a robotic Automated floor cleaner that would safely clean the premises. Expert support robots, such as client care and i

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Pranav, Iyengar, and Umbarkar Ashish. "Development of Autonomous Indoor Floor Cleaning Robot." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 3 (2022): 6–10. https://doi.org/10.35940/ijrte.C7199.0911322.

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<strong>Abstract -</strong> Cleanliness plays an important role in everyday life. It is the most popular method of maintaining our surroundings free of contaminants and illnesses, as well as for social and academic well-being. Recently, a few cleaning-arrangements have become available to maintain your home dust-free. Machine-Controlled For the betterment of humanity, floor cleaners were given. In recent years, cleanliness has been a critical aspect in improving one's own health, so we are developing a robotic Automated floor cleaner that would safely clean the premises. Expert support rob

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Bayat, Behzad, Julita Bermejo-Alonso, Joel Carbonera, et al. "Requirements for building an ontology for autonomous robots." Industrial Robot: An International Journal 43, no. 5 (2016): 469–80. http://dx.doi.org/10.1108/ir-02-2016-0059.

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Purpose IEEE Ontologies for Robotics and Automation Working Group were divided into subgroups that were in charge of studying industrial robotics, service robotics and autonomous robotics. This paper aims to present the work in-progress developed by the autonomous robotics (AuR) subgroup. This group aims to extend the core ontology for robotics and automation to represent more specific concepts and axioms that are commonly used in autonomous robots. Design/methodology/approach For autonomous robots, various concepts for aerial robots, underwater robots and ground robots are described. Componen

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Cheng, Ming. "Development Analysis of Key Autonomous Perception Applied to Path Planning and Autonomous Obstacle Avoidance of Land Wheeled Mobile Robots." Highlights in Science, Engineering and Technology 103 (June 26, 2024): 1–6. http://dx.doi.org/10.54097/dqezdn05.

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Path planning and autonomous obstacle avoidance are two key technologies for mobile robots, and the technical basis for achieving these functions is high-precision autonomous perception. The core purpose of this article is to deeply analyze and discuss the key autonomous perception technologies of land-wheeled mobile robots in path planning and autonomous obstacle avoidance. This article first reviews the technological development process in the field of mobile robots, emphasizes the importance of path planning and autonomous obstacle avoidance, and outlines the foundation of high-precision au

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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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Qin, Hongwei, Shiliang Shao, Ting Wang, Xiaotian Yu, Yi Jiang, and Zonghan Cao. "Review of Autonomous Path Planning Algorithms for Mobile Robots." Drones 7, no. 3 (2023): 211. http://dx.doi.org/10.3390/drones7030211.

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Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles, play an increasingly important role in people’s work and lives. Path planning and obstacle avoidance are the core technologies for achieving autonomy in mobile robots, and they will determine the application prospects of mobile robots. This paper introduces path planning and obstacle avoidance methods for mobile robots to provide a reference for researchers in this field. In addition, it comprehensively summarizes the recent progress and breakthroughs of mobile robots in the field of path planning and disc

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Golubov, V. V., and S. V. Manko. "Automation of autonomous mobile robot docking based on the counter growth rapidly exploring random tree method." Russian Technological Journal 12, no. 1 (2024): 7–14. http://dx.doi.org/10.32362/2500-316x-2024-12-1-7-14.

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Objectives. The article substantiates the relevance of automatic docking of autonomous mobile robots. Specific examples show that the implementation of the automatic docking functions of autonomous robots reveals the potential for creating multi-agent systems with a transformable structure. The aim of the work is to develop means for automatic docking of autonomous mobile robots in complex scenarios and an uncertain environment.Methods. The proposed approach to automating autonomous mobile robot docking is reduced to a modification of the counter-growth rapidly-exploring random tree (RRT) meth

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Mitra, Manu. "Medical Robots and its Applications." Ocean Journal of Engineering Studies and Research 1, no. 1 (2021): 1–5. https://doi.org/10.1234/1234.

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Medical Robots are machines that are operated in medical sciences. There are few classifications for medical robotics such as assistive robots, robots imitating human. Comparatively, medical robots offer wide range of advantages, for example they are flexible and can be programmed to perform multiple tasks, they are more adaptable and cost effective. Further, they eliminate human fatigue. A fully autonomous robot acquires and processes information and performs specific physical action. Few medical robots are reviewed

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Rajapaksha, U. U. Samantha, Chandimal Jayawardena, and Bruce A. MacDonald. "Design, Implementation, and Performance Evaluation of a Web-Based Multiple Robot Control System." Journal of Robotics 2022 (May 30, 2022): 1–24. http://dx.doi.org/10.1155/2022/9289625.

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Heterogeneous multiple robots are currently being used in smart homes and industries for different purposes. The authors have developed the Web interface to control and interact with multiple robots with autonomous robot registration. The autonomous robot registration engine (RRE) was developed to register all robots with relevant ROS topics. The ROS topic identification algorithm was developed to identify the relevant ROS topics for the publication and the subscription. The Gazebo simulator spawns all robots to interact with a user. The initial experiments were conducted with simple instructi

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Hu, Haimin. "From Gambits to Assurances: Game-Theoretic Integration of Safety and Learning for Interactive Robotics." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29265–66. https://doi.org/10.1609/aaai.v39i28.35210.

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Autonomous robots are becoming more versatile and widespread in our daily lives. From autonomous vehicles to companion robots for senior care, these human-centric systems must demonstrate a high degree of reliability in order to build trust and, ultimately, deliver social value. How safe is safe enough for robots to be wholeheartedly trusted by society? Is it sufficient if an autonomous vehicle can avoid hitting a fallen cyclist 99.9% of the time? What if this rate can only be achieved by the vehicle always stopping and waiting for the human to move out of the way? I argue that, for trustworth

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Loianno, Giuseppe, Yash Mulgaonkar, Chris Brunner, et al. "Autonomous flight and cooperative control for reconstruction using aerial robots powered by smartphones." International Journal of Robotics Research 37, no. 11 (2018): 1341–58. http://dx.doi.org/10.1177/0278364918774136.

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Advances in consumer electronics products and the technology seen in personal computers, digital cameras, and smartphones phones have led to the price/performance ratio of sensors and processors falling dramatically over the last decade. In particular, many consumer products are packaged with small cameras, gyroscopes, and accelerometers, all sensors that are needed for autonomous robots in GPS-denied environments. The low mass and small form factor make them particularly well suited for autonomous flight with small flying robots. In this work, we present the first fully autonomous smartphone-

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Carbajo-Núñez OFM, Martín. "Autonomous drone warfare." Warszawskie Studia Teologiczne 35, no. 1 (2022): 103–17. http://dx.doi.org/10.30439/10.30439/wst.2022.1.6.

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Recently, a military robot has autonomously taken the decision to attack enemy troops in the Libyan war without waiting for any human intervention. Russia is also suspected of using such kind of robots in the current war against Ukraine. This news has highlighted the possibility of radical changes in war scenarios. Using a Catholic perspective, we will analyze these new challenges, indicating the anthropological and ethical bases that must lead to the prohibition of autonomous “killer robots” and, more generally, to the overcoming of the just war theory. We will also point out the importance o

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Carbajo-Núñez OFM, Martín. "Autonomous drone warfare." Warszawskie Studia Teologiczne 35, no. 1 (2022): 103–17. http://dx.doi.org/10.30439/wst.2022.1.6.

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Recently, a military robot has autonomously taken the decision to attack enemy troops in the Libyan war without waiting for any human intervention. Russia is also suspected of using such kind of robots in the current war against Ukraine. This news has highlighted the possibility of radical changes in war scenarios. Using a Catholic perspective, we will analyze these new challenges, indicating the anthropological and ethical bases that must lead to the prohibition of autonomous “killer robots” and, more generally, to the overcoming of the just war theory. We will also point out the importance o

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