Results 231 to 240 of about 119,993 (264)

Motion Economy and Planning.

2006
We have formulated the motion economy problem as an AI planning problem. We have developed and formalized a model for representing the actions, environment and products of the domain. We have interpreted and represented the expertise of motion economy specialists as search control rules by using temporal formulas and used them to generate quality plans.
Canan, Özgen, Birtürk, Ayşenur
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Semilinear Motion Planning in REDLOG

Applicable Algebra in Engineering, Communication and Computing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Planning compliant motion strategies

Proceedings IEEE International Symposium on Intelligent Control 1988, 1989
This paper describes a planning program that synthesizes compliant motion strategies, in which an object in the grasp of a robot slides along obstacles, in an attempt to reach a goal region. The input to the planner is a model of the task geometry, a start region, and a goal region. To make the planning problem tractable, we reduce the task geometry to
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Motion Planning for an Autonomous Vehicle

Proceedings. 1988 IEEE International Conference on Robotics and Automation, 1990
An algorithm for computing a collision-free motion for a vehicle with limited steering range is presented and its running time is analyzed. When given m 'lanes' on which the vehicle is allowed to move in a polygonal environment of complexity n, the algorithm produces a motion with the minimum number of turns between two query placements of the vehicle ...
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Geometry and search in motion planning

Annals of Mathematics and Artificial Intelligence, 1993
Robot path planning is a typical example of a problem that requires searching a “continuous” space, the robot's configuration space, for a solution, a collision-free path. The global approach to path planning first captures the connectivity of the robot's free space into a concise connectivity path, and next searches this graph.
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Integrated Task and Motion Planning

Annual Review of Control, Robotics, and Autonomous Systems, 2021
Rachel Holladay, Thomas Silver, Tomas Lozano-Pérez   +2 more
exaly  

Motion Planning

IEEE Robotics & Automation Magazine, 2011
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Multiple Mobile Robot Task and Motion Planning: A Survey

ACM Computing Surveys, 2023
Sidney Givigi, Joshua Marshall, Luke Antonyshyn   +2 more
exaly  

A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures

Journal of Systems Engineering and Electronics, 2023
Lu Dong, Changyin Sun, Zichen He
exaly  

Asymptotically Optimal Sampling-Based Motion Planning Methods

Annual Review of Control, Robotics, and Autonomous Systems, 2021
Jonathan Gammell
exaly