Relevant bibliographies by topics / Autonomous robots; Path planning

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

Academic literature on the topic 'Autonomous robots; Path planning'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Autonomous robots; Path planning"

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Elbanhawi, Mohamed, Milan Simic, and Reza Jazar. "Autonomous Robots Path Planning: An Adaptive Roadmap Approach." Applied Mechanics and Materials 373-375 (August 2013): 246–54. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.246.

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Developing algorithms that allow robots to independently navigate unknown environments is a widely researched area of robotics. The potential for autonomous mobile robots use, in industrial and military applications, is boundless. Path planning entails computing a collision free path from a robots current position to a desired target. The problem of path planning for these robots remains underdeveloped. Computational complexity, path optimization and robustness are some of the issues that arise. Current algorithms do not generate general solutions for different situations and require user expe
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Zhang, Hong Min. "Path Planning Methods of Mobile Robot Based on Soft Computing Technique." Advanced Materials Research 216 (March 2011): 677–80. http://dx.doi.org/10.4028/www.scientific.net/amr.216.677.

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Path planning is one of the most important and challenging problems of mobile robot. It is one of the keys that will make the mobile robots fully autonomous. In this paper, we summarized the application of soft computing approaches in path planning for mobile robot. Finally the future works of path planning for mobile robots are prospected.
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Saleem Sumbal, Muhammad. "Environment Detection and Path Planning Using the E-puck Robot." IAES International Journal of Robotics and Automation (IJRA) 5, no. 3 (2016): 151. http://dx.doi.org/10.11591/ijra.v5i3.pp151-160.

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Automatic path planning is one of the most challenging problems confronted by autonomous robots. Generating optimal paths for autonomous robots are some of the heavily studied subjects in mobile robotics applications. This paper documents the implementation of a path planning project using a mobile robot in a structured environment. The environment is detected through a camera and then a roadmap of the environment is built using some algorithms. Finally a graph search algorithm called A* is implemented that searches through the roadmap and finds an optimal path for robot to move from start posi
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Kumar, Rajeev, Laxman Singh, and Rajdev Tiwari. "Path planning for the autonomous robots using modified grey wolf optimization approach." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9453–70. http://dx.doi.org/10.3233/jifs-201926.

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Path planning for robots plays a vital role to seek the most feasible path due to power requirement, environmental factors and other limitations. The path planning for the autonomous robots is tedious task as the robot needs to locate a suitable path to move between the source and destination points with multifaceted nature. In this paper, we introduced a new technique named modified grey wolf optimization (MGWO) algorithm to solve the path planning problem for multi-robots. MGWO is modified version of conventional grey wolf optimization (GWO) that belongs to the category of metaheuristic algo
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Valbahs, Edvards, and Peter Grabusts. "Path Planning Usage for Autonomous Agents." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 8, 2015): 40. http://dx.doi.org/10.17770/etr2013vol2.867.

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In order to achieve the wide range of the robotic application it is necessary to provide iterative motions among points of the goals. For instance, in the industry mobile robots can replace any components between a storehouse and an assembly department. Ammunition replacement is widely used in military services. Working place is possible in ports, airports, waste site and etc. Mobile agents can be used for monitoring if it is necessary to observe control points in the secret place. The paper deals with path planning programme for mobile robots. The aim of the research paper is to analyse motio
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Zanlongo, Sebastián A., Peter Dirksmeier, Philip Long, Taskin Padir, and Leonardo Bobadilla. "Scheduling and Path-Planning for Operator Oversight of Multiple Robots." Robotics 10, no. 2 (2021): 57. http://dx.doi.org/10.3390/robotics10020057.

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There is a need for semi-autonomous systems capable of performing both automated tasks and supervised maneuvers. When dealing with multiple robots or robots with high complexity (such as humanoids), we face the issue of effectively coordinating operators across robots. We build on our previous work to present a methodology for designing trajectories and policies for robots such that a few operators can supervise multiple robots. Specifically, we: (1) Analyze the complexity of the problem, (2) Design a procedure for generating policies allowing operators to oversee many robots, (3) Present a me
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Liu, Yong-tao, Rui-zhi Sun, Tian-yi Zhang, Xiang-nan Zhang, Li Li, and Guo-qing Shi. "Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots." Security and Communication Networks 2020 (June 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/6371814.

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In order to achieve the fastest fire-fighting purpose, warehouse autonomous mobile fire-fighting robots need to make an overall optimal planning based on the principle of the shortest time for their traveling path. A∗ algorithm is considered as a very ideal shortest path planning algorithm, but the shortest path is not necessarily the optimal path for robots. Furthermore, the conventional A∗ algorithm is affected by the search neighborhood restriction and the theoretical characteristics, so there are many problems, which are closing to obstacles, more inflection points, more redundant points,
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Urdiales, C., A. Bandera, F. Arrebola, and F. Sandoval. "Multi-level path planning algorithm for autonomous robots." Electronics Letters 34, no. 2 (1998): 223. http://dx.doi.org/10.1049/el:19980204.

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Arokiasami, Willson Amalraj, Prahlad Vadakkepat, Kay Chen Tan, and Dipti Srinivasan. "Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework." Unmanned Systems 06, no. 04 (2018): 231–50. http://dx.doi.org/10.1142/s2301385018500061.

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Autonomous unmanned vehicles are preferable in patrolling, surveillance and, search and rescue missions. Multi-agent architectures are commonly used for autonomous control of unmanned vehicles. Existing multi-robot architectures for unmanned aerial and ground robots are generally mission and platform oriented. Collision avoidance, path-planning and tracking are some of the fundamental requirements for autonomous operation of unmanned robots. Though aerial and ground vehicles operate differently, the algorithms for obstacle avoidance, path-planning and path-tracking can be generalized. Service
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Masone, Carlo, Mostafa Mohammadi, Paolo Robuffo Giordano, and Antonio Franchi. "Shared planning and control for mobile robots with integral haptic feedback." International Journal of Robotics Research 37, no. 11 (2018): 1395–420. http://dx.doi.org/10.1177/0278364918802006.

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This paper presents a novel bilateral shared framework for online trajectory generation for mobile robots. The robot navigates along a dynamic path, represented as a B-spline, whose parameters are jointly controlled by a human supervisor and an autonomous algorithm. The human steers the reference (ideal) path by acting on the path parameters that are also affected, at the same time, by the autonomous algorithm to ensure: (i) collision avoidance, (ii) path regularity, and (iii) proximity to some points of interest. These goals are achieved by combining a gradient descent-like control action wit
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Dissertations / Theses on the topic "Autonomous robots; Path planning"

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Crous, C. B. "Autonomous robot path planning." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/2519.

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Thesis (MSc (Mathematical Sciences. Computer SCience))--University of Stellenbosch, 2009.<br>In this thesis we consider the dynamic path planning problem for robotics. The dynamic path planning problem, in short, is the task of determining an optimal path, in terms of minimising a given cost function, from one location to another within a known environment of moving obstacles. Our goal is to investigate a number of well-known path planning algorithms, to determine for which circumstances a particular algorithm is best suited, and to propose changes to existing algorithms to make them per
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Schmitt, Paul Richard. "Reactive path shaping : local path planning for autonomous mobile robots in aisles." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/17778.

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balakrishnan, mohanakrishnan. "COVERAGE PATH PLANNING AND CONTROL FOR AUTONOMOUS MOBILE ROBOTS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2769.

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Coverage control has many applications such as security patrolling, land mine detectors, and automatic vacuum cleaners. This Thesis presents an analytical approach for generation of control inputs for a non-holonomic mobile robot in coverage control. Neural Network approach is used for complete coverage of a given area in the presence of stationary and dynamic obstacles. A complete coverage algorithm is used to determine the sequence of points. Once the sequences of points are determined a smooth trajectory characterized by fifth order polynomial having second order continuity is generated. An
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Qin, Caigong. "A computational framework for manipulator motion planning." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362068.

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Cowlagi, Raghvendra V. "Hierarchical motion planning for autonomous aerial and terrestrial vehicles." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41066.

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Autonomous mobile robots - both aerial and terrestrial vehicles - have gained immense importance due to the broad spectrum of their potential military and civilian applications. One of the indispensable requirements for the autonomy of a mobile vehicle is the vehicle's capability of planning and executing its motion, that is, finding appropriate control inputs for the vehicle such that the resulting vehicle motion satisfies the requirements of the vehicular task. The motion planning and control problem is inherently complex because it involves two disparate sub-problems: (1) satisfaction of th
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Hasler, Michael Douglas. "Simulation for Improvement of Dynamic Path Planning in Autonomous Search and Rescue Robots." Thesis, University of Canterbury. Electrical and Computer Engineering, 2009. http://hdl.handle.net/10092/4475.

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To hasten the process of saving lives after disasters in urban areas, autonomous robots are being looked to for providing mapping, hazard identification and casualty location. These robots need to maximise time in the field without having to recharge and without reducing productivity. This project aims to improve autonomous robot navigation through allowing comparison of algorithms with various weightings, in conjunction with the ability to vary physical parameters of the robot and other factors such as error thresholds/limits. The lack of a priori terrain data in disaster sites, means tha
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Haight, Timothy A. "Layered path planning for an autonomous mobile robot." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA286138.

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Thesis (M.S. in Computer Science and M.S. in Mathematics) Naval Postgraduate School, September 1994.<br>Thesis advisor(s): Yutaka Kanayama, Craig W. Rasmussen. "September 1994." Bibliography: p. 43-44. Also available online.
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Selin, Magnus. "Efficient Autonomous Exploration Planning of Large-Scale 3D-Environments : A tool for autonomous 3D exploration indoor." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163329.

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Exploration is of interest for autonomous mapping and rescue applications using unmanned vehicles. The objective is to, without any prior information, explore all initially unmapped space. We present a system that can perform fast and efficient exploration of large scale arbitrary 3D environments. We combine frontier exploration planning (FEP) as a global planning strategy, together with receding horizon planning (RH-NBVP) for local planning. This leads to plans that incorporate information gain along the way, but do not get stuck in already explored regions. Furthermore, we make the potential
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Hernández, Vega Juan David. "Online path planning for autonomous underwater vehicles under motion constraints." Doctoral thesis, Universitat de Girona, 2017. http://hdl.handle.net/10803/457592.

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The most common applications of autonomous underwater vehicles (AUVs) include imaging and inspecting different kinds of structures on the sea. Most of these applications require a priori information of the area or structure to be inspected, either to navigate at a safe and conservative altitude or to 2/2 pre-calculate a survey path. However, there are other applications where it's unlikely that such information is available (e.g., exploring confined natural environments like underwater caves). In this respect, this thesis presents an approach that endows an AUV with the capabilities to
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Moletta, Marco. "Path planning for autonomous aerial robots in unknown underground zones optimized for vertical tunnels exploration." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285574.

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Robotics is revolutionizing the work in dangerous environments like mines and tunnels, making life easier and safer for the workers. The specific case considered in this thesis regards UAVs used for 3D mapping of these zones. However, the use of UAVs in underground mines can be challenging for many reasons, such as reduced visibility, no GPS localization available and limited wireless communication, challenges that can be partially solved by using au- tonomous robots. Precisely for these reasons, this work aims to contribute on this application with the implementation of an autonomous path pla
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Books on the topic "Autonomous robots; Path planning"

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Haight, Timothy A. Layered path planning for an autonomous mobile robot. Naval Postgraduate School, 1994.

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Sukhatme, Gaurav, ed. The Path to Autonomous Robots. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85774-9.

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

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Nourbakhsh, Illah Reza. Interleaving Planning and Execution for Autonomous Robots. Springer US, 1997.

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Nourbakhsh, Illah Reza. Interleaving Planning and Execution for Autonomous Robots. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6317-4.

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Nourbakhsh, Illah Reza. Interleaving planning and execution for autonomous robots. Kluwer Academic Publishers, 1997.

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Reiter, Alexander. Optimal Path and Trajectory Planning for Serial Robots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28594-4.

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Wahdan, Mahmoud A. New motion planning and real-time localization methods using proximity for autonomous mobile robots. Naval Postgraduate School, 1996.

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Milford, Michael John. Robot navigation from nature: Simultaneous localisation, mapping, and path planning based on hippocampal models. Springer, 2008.

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Bonsignore, Joseph. Underwater multi-dimensional path planning for the Naval Postgraduate School Autonomous Underwater Vehicle II. Naval Postgraduate School, 1991.

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Book chapters on the topic "Autonomous robots; Path planning"

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Vasudevan, C., and K. Ganesan. "Case-Based Path Planning for Autonomous Underwater Vehicles." In Underwater Robots. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1419-6_1.

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Dang, Tung, Frank Mascarich, Shehryar Khattak, Christos Papachristos, and Kostas Alexis. "Autonomous Aerial Robots, Informative Path Planning for." In Encyclopedia of Robotics. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-642-41610-1_74-1.

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Kanayama, Yutaka, and Bruce I. Hartman. "Smooth Local Path Planning for Autonomous Vehicles." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_6.

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Paull, Liam, Sajad Saeedi, and Howard Li. "Path Planning for Autonomous Underwater Vehicles." In Marine Robot Autonomy. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5659-9_4.

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Espinosa, Omar, Luisa Castañeda, and Fredy Martínez. "Minimalist Artificial Eye for Autonomous Robots and Path Planning." In Intelligent Data Engineering and Automated Learning – IDEAL 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24834-9_28.

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Doi, Yuki, Yonghoon Ji, Yusuke Tamura, et al. "Robust Path Planning Against Pose Errors for Mobile Robots in Rough Terrain." In Intelligent Autonomous Systems 15. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01370-7_3.

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Gyagenda, Nasser, Ahmad Kamal Nasir, Hubert Roth, and Vadim Zhmud. "Coverage Path Planning for Large-Scale Aerial Mapping." In Towards Autonomous Robotic Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23807-0_21.

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Vadakkepat, Prahlad, Tong-Heng Lee, and Liu Xin. "Evolutionary Artificial Potential Field — Applications to Mobile Robot Path Planning." In Autonomous Robotic Systems. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-7908-1767-6_8.

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Koubaa, Anis, Hachemi Bennaceur, Imen Chaari, et al. "Performance Analysis of the MRTA Approaches for Autonomous Mobile Robot." In Robot Path Planning and Cooperation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77042-0_8.

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Nalini, K. M., and Raju R. Gondkar. "Path Planning and Controlling of Autonomous Robot." In Emerging Research in Computing, Information, Communication and Applications. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2550-8_12.

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Conference papers on the topic "Autonomous robots; Path planning"

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Ronnback, Sven, Simon Westerberg, and Kalle Prorok. "CSE+: Path planning amid circles." In 2009 4th International Conference on Autonomous Robots and Agents. IEEE, 2009. http://dx.doi.org/10.1109/icara.2000.4803947.

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"MOBILE ROBOT - A Complete Framework for 2D-path Planning and Motion Planning." In Special Session on Mobile Robots and Autonomous Systems. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003648504170426.

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Wong, Cuebong, Erfu Yang, Xiu-Tian Yan, and Dongbing Gu. "Dynamic, Anytime Task and Path Planning for Mobile Robots." In 2nd UK-RAS ROBOTICS AND AUTONOMOUS SYSTEMS CONFERENCE, Loughborough, 2019. UK-RAS Network, 2019. http://dx.doi.org/10.31256/ukras19.10.

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Schima, Francis, and Stephen Derby. "Two Robot Arm Cooperative Path Planning Using String Stretching." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0159.

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Abstract Two arm robot path planning has many applications. Potential uses of 2 arm robot path planning include terrestrial and space based construction, and general movement of objects. The U.S. space station will most likely be built using robots so that humans do not have to be put into space regularly at great expense and risk. Control of robots from Earth via telerobotics is not practical because the robots will be so far away that there is a delay in the signals due to the great distance between the robots and the controllers and the fact that the signals are limited by the speed of ligh
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Hasan, Kazi Mahmud, Abdullah-Al-Nahid, and Khondker Jahid Reza. "Path planning algorithm development for autonomous vacuum cleaner robots." In 2014 International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2014. http://dx.doi.org/10.1109/iciev.2014.6850799.

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Orozco-Rosas, Ulises, Kenia Picos, Oscar Montiel, Roberto Sepúlveda, and Víctor H. Díaz-Ramírez. "Obstacle recognition for path planning in autonomous mobile robots." In SPIE Optical Engineering + Applications, edited by Khan M. Iftekharuddin, Abdul A. S. Awwal, Mireya García Vázquez, Andrés Márquez, and Mohammad A. Matin. SPIE, 2016. http://dx.doi.org/10.1117/12.2237412.

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McKeon, Robert T., Mark Paulik, and Mohan Krishnan. "Lane identification and path planning for autonomous mobile robots." In Optics East 2006, edited by David P. Casasent, Ernest L. Hall, and Juha Röning. SPIE, 2006. http://dx.doi.org/10.1117/12.686278.

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Monaghan, Glen E. "World Modeling And Path Planning For Autonomous Mobile Robots." In 1985 Cambridge Symposium, edited by David P. Casasent. SPIE, 1985. http://dx.doi.org/10.1117/12.950825.

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Kuhnert, Lars, Duong V. Nguyen, Stefan Thamke, and Klaus D. Kuhnert. "Autonomous Explorative Outdoor Path Planning." In Biomechanics / Robotics. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.752-056.

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Kuhnert, Lars, Duong V. Nguyen, Stefan Thamke, and Klaus D. Kuhnert. "Autonomous Explorative Outdoor Path Planning." In Biomechanics / Robotics. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.752-056.

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Reports on the topic "Autonomous robots; Path planning"

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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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