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Stereo-Vision Mobile Robotics Navigation through Metric-Topological Learning

2013 Advances in Robotics & Automation  
In addition, enhancing mobile robots stereo vision navigation is becoming a necessity once maps learning is also needed to learn the navigation environments.  ...  Once it comes to integrating environment visual information for clever navigation maps learning, the issue gets even much complicated.  ... 
doi:10.4172/2168-9695.1000e123 fatcat:4ykllwtxwbap7l4azojf5weo7m

Computational Geometry in Navigation and Path Planning [From The Guest Editors]

Marina Gavrilova, Jorge Cortes, Raymond Jarvis
2008 IEEE robotics & automation magazine  
In this work, the authors present a control method based on hierarchical Q-learning for mobile robot navigation in unknown environments.  ...  The navigation controls of the mobile robots are implemented by extending Q-learning to a hierarchical setting based on the model of a hybrid Markov decision process.  ...  In this work, the authors present a control method based on hierarchical Q-learning for mobile robot navigation in unknown environments.  ... 
doi:10.1109/mra.2008.921539 fatcat:um5lixocxjh37lrhs4rq3lv3vm

Teaching mobile robots to cooperatively navigate in populated environments

Markus Kuderer, Henrik Kretzschmar, Wolfram Burgard
2013 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems  
We present an approach that allows a mobile robot to learn how to navigate in the presence of humans while it is being tele-operated in its designated environment.  ...  We implemented our approach on a real mobile robot and demonstrate that it is able to successfully navigate in an office environment in the presence of humans relying only on on-board sensors.  ...  [19] present an approach to reciprocal collision avoidance that allows a set of mobile robots to navigate without collisions. Our approach also models cooperative navigation behavior.  ... 
doi:10.1109/iros.2013.6696802 dblp:conf/iros/KudererKB13 fatcat:uzrdwxnvwbe3vili2whfbnp3bu

Wheeled Mobile Robot Path Planning and Path Tracking Controller Algorithms: A Review

Oluwaseun. O. Martins, Department of Mechatronics Engineering, Federal University Oye-Ekiti Ekiti State, Nigeria, Adefemi. A. Adekunle, Samuel. B. Adejuyigbe, Oluwole. H. Adeyemi, Michael. O. Arowolo
2020 Journal of Engineering Science and Technology Review  
The former evaluates and identifies an obstacle free path for a mobile robot to traverse within its environment and the later deals with the controller design for a mobile robot to track the reference  ...  The sustained integration of wheeled mobile robot to task that further require their operation within the human environment characterized with uncertainty makes a review of these solution approaches very  ...  This is an Open Access article distributed under the terms of the Creative Commons Attribution License _____________________________ References  ... 
doi:10.25103/jestr.133.17 fatcat:qvad4rqszbf5nm2oymv4i2sroa

Mobile Robotics, Moving Intelligence [chapter]

Souma Alhaj, Masoud Ghaffari, Xiaoqun Liao, Ernest Hall
2006 Mobile Robotics, Moving Intelligence  
Experience with the guidance of a mobile robot has motivated this study and has progressed from simple line following to the more complex navigation and control in an unstructured environment.  ...  Alhaj Ali (2003) presented the development of an autonomous navigation and obstacle avoidance system for a wheeled mobile robot operating in unstructured outdoor environments.  ...  This book covers many aspects of the exciting research in mobile robotics. It deals with different aspects of the control problem, especially also under uncertainty and faults.  ... 
doi:10.5772/4716 fatcat:be5ajvpdsnbafjidw55jov5nki

Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer [article]

Xianjia Yu, Jorge Pena Queralta, Tomi Westerlund
2022 arXiv   pre-print
We also introduce an approach to continuous learning from mobile robots with extended sensor suites able to provide automatically labeled data while they are completing other tasks.  ...  This paper focuses on vision-based obstacle avoidance for mobile robot navigation.  ...  ACKNOWLEDGMENT This research work is supported in part by the Academy of Finland's AutoSOS project (Grant No. 328755) and RoboMesh project (Grant No. 336061).  ... 
arXiv:2205.15496v1 fatcat:gmc4or2v3bbobpxdx62w7rz6uq

Mobile Robot Navigation and Obstacle Avoidance Techniques: A Review

Anish Pandey
2017 International Robotics & Automation Journal  
Therefore, an intelligent mobile robot is required that could travel autonomously in various static and dynamic environments.  ...  The present article focuses on the study of the intelligent navigation techniques, which are capable of navigating a mobile robot autonomously in static as well as dynamic environments.  ...  The proposed controller train the mobile robot to navigate in an environment without any human intervention.  ... 
doi:10.15406/iratj.2017.02.00023 fatcat:m6viumq36zf5zbfeexua475gjy

Mapless LiDAR Navigation Control of Wheeled Mobile Robots Based on Deep Imitation Learning

Chi-Yi Tsai, Humaira Nisar, Yu-Chen Hu
2021 IEEE Access  
Experimental results show that the proposed mapless LiDAR navigation control method can safely navigate the mobile robot in four unseen environments with an average success rate of 75%.  ...  Therefore, the proposed mapless LiDAR navigation control system is effective for robot navigation control in an unknown environment without the global map.  ...  After training the model through reinforcement learning, the mobile robot can safely reach the navigation target in an unknown environment without prior maps.  ... 
doi:10.1109/access.2021.3107041 fatcat:riq4ufo2czdq3c4kwmu4xvvliy

An Open-Source Low-Cost Mobile Robot System with an RGB-D Camera and Efficient Real-Time Navigation Algorithm [article]

Taekyung Kim, Seunghyun Lim, Gwanjun Shin, Geonhee Sim, Dongwon Yun
2022 arXiv   pre-print
In addition, we demonstrate the applicability of our mobile robot system through successful autonomous driving in an indoor environment.  ...  Currently, mobile robots are developing rapidly and are finding numerous applications in the industry.  ...  We also propose a real-time navigation approach designed for low-cost indoor mobile robots.  ... 
arXiv:2103.03054v3 fatcat:7ivhf4ybgjh57o6o6jyrhhco7m

Mobile Robot Intelligence Based SLAM Features Learning and Navigation

Ebrahim Mattar et. al.
2018 International Journal of Computing and Digital Systems  
The adopted learning paradigm was a five layers Neuro-Fuzzy learning architecture, with to ability to create an FIS inference for enhanced navigation.  ...  In this respect, the presented scheme was focused towards building intelligence for mobile robot navigation.  ...  In reference to [29] , Thrun reported and described an approach that integrates both paradigms: grid-based and topoIogica1.  ... 
doi:10.12785/ijcds/070103 fatcat:pirdw6duyzhnhe5u4ldgnaipve

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning [article]

Antonin Raffin and Ashley Hill and René Traoré and Timothée Lesort and Natalia Díaz-Rodríguez and David Filliat
2018 arXiv   pre-print
This paper provides a set of environments, data generators, robotic control tasks, metrics and tools to facilitate iterative state representation learning and evaluation in reinforcement learning settings  ...  Approaches used for this objective are auto-encoders, learning forward models, inverse dynamics or learning using generic priors on the state characteristics.  ...  Designed for Robotics: The proposed environments cover basic goal-based robotics tasks: navigation for a mobile robot and reaching a desired position for a robotic arm.  ... 
arXiv:1809.09369v2 fatcat:gbp33d7pnzdk7hr27kbebmzxwi

Learning sensor-based navigation of a real mobile robot in unknown worlds

R. Araujo, A.T. de Almeida
1999 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
In this paper, we address the problem of navigating an autonomous mobile robot in an unknown indoor environment.  ...  The parti-game multiresolution learning approach [22] is applied for simultaneous and cooperative construction of a world model, and learning to navigate through an obstacle-free path from a starting position  ...  model building, and learning to navigate a mobile robot on an unknown world.  ... 
doi:10.1109/3477.752791 pmid:18252290 fatcat:4fzw6aphzrcufjeisjjjds223u

Deep-Reinforcement-Learning-Based Semantic Navigation of Mobile Robots in Dynamic Environments [article]

Linh Kästner, Cornelius Marx, Jens Lambrecht
2020 arXiv   pre-print
The ability to autonomously navigate safely especially within dynamic environments, is paramount in industrial mobile robotics.  ...  Mobile robots have gained increased importance within industrial tasks such as commissioning, delivery or operation in hazardous environments.  ...  Bojarski et. al [11] applied the same techniques for mobile robot navigation by proposing an end-to-end method that maps raw camera pixels directly to steering commands within a simulation environment  ... 
arXiv:2008.00516v1 fatcat:gnemrlpn4zckriarj4z6bnn7zi

Special Feature on Advanced Mobile Robotics

DaeEun Kim
2019 Applied Sciences  
Mobile robots and their applications are involved with many research fields including electrical engineering, mechanical engineering, computer science, artificial intelligence and cognitive science [..  ...  Acknowledgments: We would like to thank all the authors and reviewers who contributed to this Special Issue.  ...  An interesting problem of mobile robots is path planning to a specific target position in a cluttered environment.  ... 
doi:10.3390/app9214686 fatcat:25p6a4yjxzd25anrryk5cdghii

Virtual Borders: Accurate Definition of a Mobile Robot's Workspace Using Augmented Reality

Dennis Sprute, Klaus Tonnies, Matthias Konig
2018 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
Finally, we demonstrated the correctness of the approach, i.e. the mobile robot changes its navigational behavior according to the user-defined virtual borders.  ...  This is especially of relevance for non-expert users living in human-robot shared spaces, e.g. home environments, since they want to keep the control of their mobile robots, such as vacuum cleaning or  ...  The path for the same navigation goal is drawn as a green line. mobile robot is instructed to navigate to the red cube in the left image of the lab environment.  ... 
doi:10.1109/iros.2018.8593615 dblp:conf/iros/SpruteTK18 fatcat:udsbfl5rung6jovfd7rjgkxzgm
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