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BookDOI

Robot Motion Planning and Control

Jean-Paul Laumond
- Iss: 229
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TLDR
Guidelines in nonholonomic motion planning for mobile robots and collision detection algorithms for motion planning are presented.
Abstract
Guidelines in nonholonomic motion planning for mobile robots.- Geometry of nonholonomic systems.- Optimal trajectories for nonholonomic mobile robots.- Feedback control of a nonholonomic car-like robot.- Probabilistic path planning.- Collision detection algorithms for motion planning.

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Journal ArticleDOI

Forcefree control with independent compensation for industrial articulated robot arms

TL;DR: In this paper, the authors demonstrate force-free control under assigned friction, gravity and inertia for robot manipulators under ideal conditions of zero gravity and zero friction, and compare the effectiveness of the proposed forcefree control with independent compensation to the other force control methods.
Journal ArticleDOI

A biologically inspired method for conceptual imitation using reinforcement learning

TL;DR: A new model for learning by imitation capable of developing relational concepts is proposed, which gradually organizes sensory data into concepts through reinforcement learning and consolidation, while mirror neurons maintain an extendible repertoire of familiar actions connected to corresponding concepts.
Proceedings ArticleDOI

Planning humanlike actions in blending spaces

TL;DR: The overall multi-modal planning method is able to automatically coordinate whole-body motions for action execution among obstacles, and the produced motions remain similar to example motions given as input to the system.
Journal ArticleDOI

Multiple homographies with omnidirectional vision for robot homing

TL;DR: A new approach for computing multiple homographies from virtual planes using omnidirectional images and its application in an omnid Directional vision-based homing control scheme is proposed.
Proceedings ArticleDOI

Pushing motion control of n passive off-hooked trailers by a car-like mobile robot

TL;DR: Experimental results proved that the control strategy of pushing n passive trailers by forward motion of a car can be successfully implemented.