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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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Dissertation

Formation control of nonholonomic mobile robots: the virtual structure approach

TL;DR: This thesis presents proposed solutions to a formation control problem in which mobile robots are required to create a desired formation shape and track a desired trajectory as a whole and introduces a saturated controller in which actuator limitations are explicitly accounted for.
Dissertation

Unifying nonholonomic and holonomic behaviors in human locomotion

TL;DR: In this article, the authors propose a model that combines three velocities generated by human locomotion: forward, angular and lateral motion, which is based on the behavior of trajectories on the ground during intentional locomotion.
Proceedings ArticleDOI

Controlling virtual autonomous entities in dynamic environments using an appropriate sense-plan-control paradigm

TL;DR: A multi-purpose object oriented implementation of the Ariadne's Clew Algorithm able to solve different path planning problems: path-planning in the map of a large-scale environment, avoidance of unexpected obstacles while following a path, manipulation of movable objects and inverse kinematics.
Proceedings ArticleDOI

Navigational task-planning of distributed cooperative robotic vehicles

TL;DR: The proposed technique is a behavior-based approach that blends subset navigational behaviors such as reflexive, potential field and wall following techniques and a technique for adaptive navigational behavior switching that is conditional based on the availability of sensory information locally and globally.
Journal Article

Automated Guided Vehicles Navigating Problem In Container Terminal

TL;DR: In this article, the authors focused on the UGV (Unmanned Ground Vehicle) localization problem, trajectories planning, work space mapping and AGV control problem and described methods and tools for control problems are connected with chosen artificial intelligence solutions dedicated for autonomous vehicles working in container terminal.