Relevant bibliographies by topics / Autonomous robot navigation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous robot navigation'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Autonomous robot navigation"

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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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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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Dissertations / Theses on the topic "Autonomous robot navigation"

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Edlund, Andreas. "Navigation for Autonomous Wheelchair Robot." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2475.

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<p>The problem with motorized wheelchairs is that they are large, clumsy and difficult to control. This is especially true if the driver has severely reduced capabilities. What we want is a wheelchair that can take instructionsfrom the driver and then based on its understanding of the environment, construct a plan that will take the user to the intended destination. The user should be able to sit in a room, tell the wheelchair that he wants to be in another room and the wheelchair should take him there as quickly and smoothly as possible. </p><p>The planner presented in this thesis uses a rand
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Keepence, B. S. "Navigation of autonomous mobile robots." Thesis, Cardiff University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304921.

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Hsieh, Pin-Chun. "Autonomous robotic wheelchair with collision-avoidance navigation." Texas A&M University, 2008. http://hdl.handle.net/1969.1/86037.

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The objective of this research is to demonstrate a robotic wheelchair moving in an unknown environment with collision-avoidance navigation. A real-time path-planning algorithm was implemented by detecting the range to obstacles and by tracking specific light sources used as beacons. Infrared sensors were used for range sensing, and light-sensitive resistors were used to track the lights. To optimize the motion trajectory, it was necessary to modify the original motor controllers of the electrical wheelchair so that it could turn in a minimum turning radius of 28.75 cm around its middle point o
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Miah, Md Suruz. "Autonomous mobile robot navigation using RFID technology." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27891.

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Navigation techniques are of a paramount importance in the field of mobile robotics. They are employed in many contexts in indoor and outdoor environments such as delivering payloads in a dynamic environment, building safety, security, building measurement, research, and driving on highways. Skilled navigation in mobile robotics usually requires solving two problems, determining the position of the robot, and selecting a motion control strategy. Moreover, when no prior knowledge of the environment is available, the problem becomes even more difficult, as the robot has to build a map of its sur
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Saffiotti, Alessandro. "Autonomous robot navigation :a fuzzy logic approach." Doctoral thesis, Universite Libre de Bruxelles, 1998. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212077.

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Tennety, Srinivas. "Mobile robot navigation in hilly terrains." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313757135.

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Leca, Dimitri. "Navigation autonome d'un robot agricole." Thesis, Toulouse 3, 2021. http://www.theses.fr/2021TOU30036.

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Le travail sur lequel porte cette thèse s'inscrit dans le domaine de la robotique agricole. Il s'agit de développer des stratégies de navigation permettant à un robot mobile d'évoluer et d'intervenir de manière autonome et en toute sécurité dans une exploitation. Ce type d'environnement agricole est fortement évolutif et comporte de nombreux obstacles statiques (bâtiments, zones de stockage, etc.) et dynamiques (voitures, machines agricoles, opérateurs humains, animaux, etc.). La stratégie de navigation proposée doit donc être à la fois réactive et adaptative. Par conséquent, cette thèse se co
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Weber, Keven. "Visually guided autonomous robot navigation : an insect based approach." Thesis, Curtin University, 1998. http://hdl.handle.net/20.500.11937/1609.

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Giving robots the ability to move around autonomously in various real-world environments has long been a major challenge for Artificial Intelligence. New approaches to the design and control of autonomous robots have shown the value of drawing inspiration from the natural world. Animals navigate, perceive and interact with various uncontrolled environments with seemingly little effort. Flying insects, in particular, are quite adept at manoeuvring in complex, unpredictable and possibly hostile environments.Inspired by the miniature machine view of insects, this thesis contributes to the autonom
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Campion, Joseph (Joseph F. ). "Autonomous navigation with mobile robot using ultrasonic rangefinders." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98957.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.<br>Cataloged from PDF version of thesis.<br>In this thesis, I designed and implemented an autonomous navigation system for a four-wheeled mobile robot with ultrasonic sonar sensors and a National Instruments myRIO real-time controller. LabVIEW code was developed to control the motors with PWM signals based on sensor feedback. A low-pass filter was used to improve the signal to noise ratio since the signals from the ultrasonic sonar sensors were quite noisy. Finally, I developed two basic algorithms
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McConnell, Michael, Daniel Chionuma, Jordan Wright, Jordan Brandt, and Liu Zhe. "Design of an Autonomous Robot for Indoor Navigation." International Foundation for Telemetering, 2013. http://hdl.handle.net/10150/579708.

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ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV<br>This paper describes the design and implementation of an autonomous robot to navigate indoors to a specified target using an inexpensive commercial off the shelf USB camera and processor running an imbedded Linux system. The robot identifies waypoints to aid in navigation, which in our case consists of a series of quick response (QR) codes. Using a 1080p USB camera, the robot could successfully id
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Books on the topic "Autonomous robot navigation"

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Chatterjee, Amitava, Anjan Rakshit, and N. Nirmal Singh. Vision Based Autonomous Robot Navigation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33965-3.

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Chatterjee, Amitava. Vision Based Autonomous Robot Navigation: Algorithms and Implementations. Springer Berlin Heidelberg, 2013.

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1936-, Aggarwal J. K., and United States. National Aeronautics and Space Administration., eds. Positional estimation techniques for an autonomous mobile robot: Final report. Computer and Vision Research Center, University of Texas at Austin, 1990.

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Kwak, Se-Hung. Rational behavior model: A tri-level multiple paradigm architecture for robot vehicle control software. Naval Postgraduate School, 1992.

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Glotzbach, Thomas. Navigation of Autonomous Marine Robots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30109-5.

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Hope, Julian Charles. Global navigation for autonomous mobile robots. University of Salford, 1992.

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Karamanlis, Vasilios. Mulltivariate motion planning of autonomous robots. Naval Postgraduate School, 1997.

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Latt, Khine. Sonar-based localization of mobile robots using the Hough transform. Naval Postgraduate School, 1997.

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M, Evans J., and National Institute of Standards and Technology (U.S.), eds. Three dimensional data capture in indoor environments for autonomous navigation. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2002.

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1942-, Evans John M., and National Institute of Standards and Technology (U.S.), eds. Three dimensional data capture in indoor environments for autonomous navigation. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2002.

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Book chapters on the topic "Autonomous robot navigation"

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Kuritsky, Morris M., and Murray S. Goldstein. "Inertial Navigation." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_9.

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Duan, Feng, Wenyu Li, and Ying Tan. "Autonomous Robot Navigation Function." In Intelligent Robot. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8253-8_8.

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Matthies, Larry, and Steven A. Shafer. "Error Modeling in Stereo Navigation." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_12.

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Chatterjee, Amitava, Anjan Rakshit, and N. Nirmal Singh. "Mobile Robot Navigation." In Vision Based Autonomous Robot Navigation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33965-3_1.

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Elfes, Alberto. "Sonar-Based Real-World Mapping and Navigation." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_18.

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Lobo, Jorge, Lino Marques, Jorge Dias, Urbano Nunes, and Aníbal T. de Almeida. "Sensors for mobile robot navigation." In Autonomous Robotic Systems. Springer London, 1998. http://dx.doi.org/10.1007/bfb0030799.

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Miller, Gabriel L., and Eric R. Wagner. "An Optical Rangefinder for Autonomous Robot Cart Navigation." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_11.

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Franz, Matthias O., Bernhard Schölkopf, Hanspeter A. Mallot, and Heinrich H. Bülthoff. "Learning View Graphs for Robot Navigation." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_9.

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V. Do, Quoc, Peter Lozo, and Lakhmi C. Jain. "Vision-Based Autonomous Robot Navigation." In Innovations in Robot Mobility and Control. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/10992388_2.

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Peng, Gang, Tin Lun Lam, Chunxu Hu, Yu Yao, Jintao Liu, and Fan Yang. "Autonomous Navigation for Mobile Robot." In Introduction to Intelligent Robot System Design. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1814-0_5.

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Conference papers on the topic "Autonomous robot navigation"

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Subramanian, R. Raja, M. Mohan Krishna, N. Jithendra, R. Kusuma Sree, L. Leela Lavanya, and Sai Phanindra Pavan Kumar. "Autonomous Indoor Navigation Robot for Restaurant Environments." In 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). IEEE, 2025. https://doi.org/10.1109/iccrtee64519.2025.11052900.

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Bettencourt, Rui, Catarina Caramalho, Gabriel Nunes, Rodrigo Serra, Alberto Vale, and Pedro U. Lima. "Indoor 2.5D Navigation for Ground Robots." In 2025 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, 2025. https://doi.org/10.1109/icarsc65809.2025.10970157.

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Bjelotomic, Marko, Prashanth Subramaniam, Hesham Ismail, and Abdallah Aljasmi. "Navigation Method for UGV on Aerial Elevation Maps for Autonomous Missions in Sandy Deserts." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-71088.

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Abstract Autonomous navigation in wide outdoor areas faces challenges not present in structured environments. Simultaneous localization and mapping (SLAM) is a popular method of creating the map using the robot, and navigating in it. SLAM is difficult to achieve where there is no paved roads, buildings, and trees like in the sandy deserts. Autonomous robots cannot predict what is waiting behind the sand dune. Even if the terrain was mapped earlier, sand dunes can shift unpredictably. Therefore, mapping and GPS-based path planning should be done before every autonomous mission in such a dynamic
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Nandikolla, Vidya K., Eden Morris, John Aquino, Thomas Paris, and Kevin Wheeler. "Navigation and Path Planning of an Autonomous Mobile Robot." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69457.

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Abstract Autonomously navigating robots are used in many applications including assistive robotics, military, space exploration, manufacturing, etc. Unmanned ground vehicles (UGV) are an example of autonomous systems falling under the category of navigation, where navigation is dominantly composed of automatic transport and movement in real world environments. Simultaneous Localization and Mapping (SLAM) provides the best approach to the problems faced in unknown environments. Visual based cameras, light detection and ranging (LiDAR) sensors, global positioning systems, and inertial measuring
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Georgiou, Evangelos, Jian S. Dai, and Michael Luck. "The KCLBOT: The Challenges of Stereo Vision for a Small Autonomous Mobile Robot." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70503.

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In small mobile robot research, autonomous platforms are severely constrained in navigation environments by the limitations of accurate sensory data to preform critical path planning, obstacle avoidance and self-localization tasks. The motivation for this work is to enable small autonomous mobile robots with a local stereo vision system that will provide an accurate reconstruction of a navigation environment for critical navigation tasks. This paper presents the KCLBOT, which was developed in King’s College London’s Centre for Robotic Research and is a small autonomous mobile robot with a ster
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de Almeida Afonso, Paulo, and Paulo Roberto Ferreira. "Autonomous Robot Navigation in Crowd." In 2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE). IEEE, 2022. http://dx.doi.org/10.1109/lars/sbr/wre56824.2022.9995874.

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Wooden, David, Matthew Malchano, Kevin Blankespoor, Andrew Howardy, Alfred A. Rizzi, and Marc Raibert. "Autonomous navigation for BigDog." In 2010 IEEE International Conference on Robotics and Automation (ICRA 2010). IEEE, 2010. http://dx.doi.org/10.1109/robot.2010.5509226.

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Zharkov, Anatoliy, and Roman Maslii. "APPLICATION OF VISUAL INERTIAL SLAM ALGORITHM FOR AUTONOMOUS ROBOT NAVIGATION." In 17th IC Measurement and Control in Complex Systems. VNTU, 2024. https://doi.org/10.31649/mccs2024.2-13.

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This work investigates the application of the Visual-Inertial SLAM (Simultaneous Localization and Mapping) algorithm for the navigation of an autonomous robot. With the development of autonomous navigation technologies, there is a need for effective methods that allow robots to navigate in complex environments. Visual-Inertial SLAM combines data from cameras and inertial measurement devices, which ensures high accuracy of localization and map construction. Several SLAM approaches based on particle filter, extended Kalman filter, and neural networks have been investigated over the decades. Thes
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Pathirana, T., A. G. B. P. Jayasekara, and B. G. D. A. Madhushanka. "Autonomous wheelchair robot navigation incorporating user expressions." In Engineering Research Unit Symposium 2024. Engineering Research Unit, 2024. https://doi.org/10.31705/eru.2024.5.

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As the aging population rises, 80% of older people will live in low—and middle-income countries by 2050. Robotic wheelchairs offer autonomous navigation using algorithms that incorporate user expressions. These systems can improve elderly care by detecting emotions and assisting with tasks to enhance living standards and reduce stress. Intelligent voice control methods have enabled human-robot interaction by designing hybrid navigation decision control [1]. However, current state unable to incorporate user emotion recognition before the navigation. Some researchers have created outdoor traveli
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Haghshenas-Jaryani, Mahdi, Hakki Erhan Sevil, and Liang Sun. "Navigation and Obstacle Avoidance of Snake-Robot Guided by a Co-Robot UAV Visual Servoing." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3156.

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Abstract This paper presents the concept of teaming up snake-robots, as unmanned ground vehicles (UGVs), and unmanned aerial vehicles (UAVs) for autonomous navigation and obstacle avoidance. Snake robots navigate in cluttered environments based on visual servoing of a co-robot UAV. It is assumed that snake-robots do not have any means to map the surrounding environment, detect obstacles, or self-localize, and these tasks are allocated to the UAV, which uses visual sensors to track the UGVs. The obtained images were used for the geo-localization and mapping the environment. Computer vision meth
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Reports on the topic "Autonomous robot navigation"

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Blackburn, Michael R., and Hoa G. Nguyen. Vision Based Autonomous Robot Navigation: Motion Segmentation,. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada308472.

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Glaspell, Garry, Amir Naser, Kenneth Niles, Maribel Delatorre, Dylan Charter, and Ahmet Soylemezoglu. Robot Operating System innovations in autonomous navigation. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49746.

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This report presents the results of simulations conducted in preparation for the 2024 Maneuver Support and Protection Integration Experiments (MSPIX) demonstration. The study aimed to develop and test a system for autonomous navigation in complex environments using advanced algorithms to enable the robot to avoid obstacles and navigate safely and efficiently. The report describes the methodology used to develop and test the autonomous navigation system, including the use of simulation, to evaluate its performance. The results of the simulation tests are presented to highlight the effectiveness
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Sinanan, Shawn, Amir Naser, Maribel Delatorre, Ahmet Soylemezoglu, and Garry Glaspell. Autonomous robotics development in Robot Operating System (ROS) 2 Humble. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49747.

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This report presents a novel Robot Operating System (ROS) 2–based simulation framework designed to facilitate the development and testing of an autonomous navigation stack. Elements of the navigation stack, including lidar odometry, simultaneous localization and mapping (SLAM), and frontier exploration, are discussed in detail. The key features of the navigation stack include real-time performance and scalable architecture. The simulation results were applied to a physical robot. As a result, the physical robot was able to autonomously map the interior of a building and to generate 2D occupanc
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Christie, Benjamin, Osama Ennasr, and Garry Glaspell. Autonomous navigation and mapping in a simulated environment. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42006.

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Unknown Environment Exploration (UEE) with an Unmanned Ground Vehicle (UGV) is extremely challenging. This report investigates a frontier exploration approach, in simulation, that leverages Simultaneous Localization And Mapping (SLAM) to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, three-dimensional (3-D) LIDAR, and Red, Green, Blue and Depth (RGBD) cameras. The main goal of this effort is to leverage frontier-based exploration with a UGV to produce a 3-D map (up to 10 cm resolution). The solution pr
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Velázquez López, Noé. Working Paper PUEAA No. 7. Development of a farm robot (Voltan). Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.005r.2022.

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Over the last century, agriculture has evolved from a labor-intensive industry to one that uses mechanized, high-powered production systems. The introduction of robotic technology in agriculture could be a new step towards labor productivity. By mimicking or extending human skills, robots overcome critical human limitations, including the ability to operate in harsh agricultural environments. In this context, in 2014 the development of the first agricultural robot in Mexico (“Voltan”) began at Chapingo Autonomous University. The research’s objective was to develop an autonomous multitasking ve
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Ennasr, Osama, Brandon Dodd, Michael Paquette, Charles Ellison, and Garry Glaspell. Low size, weight, power, and cost (SWaP-C) payload for autonomous navigation and mapping on an unmanned ground vehicle. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47683.

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Autonomous navigation and unknown environment exploration with an unmanned ground vehicle (UGV) is extremely challenging. This report investigates a mapping and exploration solution utilizing low size, weight, power, and cost payloads. The platform presented here leverages simultaneous localization and mapping to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, 3D lidar, and red-green-blue and depth cameras. The main goal of this effort is to leverage path planning and navigation for mapping and explorat
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Gaudiano, Paolo. Adaptive Control and Navigation of Autonomous Mobile Robots. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada381430.

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
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EISLER, G. RICHARD. Robust Planning for Autonomous Navigation of Mobile Robots in Unstructured, Dynamic Environments: An LDRD Final Report. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/801404.

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Mekonnen, Bisrat, Benjamin Christie, Michael Paquette, and Garry Glaspell. 3D mapping and navigation using MOVEit. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47179.

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Until recently, our focus has been primarily on the development of a low SWAP-C payload for deployment on a UGV that leverages 2D mapping and navigation. Due to these efforts, we are able to autonomously map and navigate very well within flat indoor environments. This report will explore the implementation of 3D mapping and navigation to allow unmanned vehicles to operate on a variety of terrains, both indoor and outdoor. The method we followed uses MOVEit, a motion planning framework. The MOVEit application is typically used in the control of robotic arms or manipulators, but its handling of
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