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BookDOI

Robot Motion Planning and Control

Jean-Paul Laumond
- Iss: 229
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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Citations
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Proceedings ArticleDOI

Path planning for multiple marine vehicles

TL;DR: In this paper, the authors present a path planning algorithm for a group of marine vehicles and enable them to reach a specific target site simultaneously with a desired formation pattern, while avoiding inter-vehicle collisions and online path replanning for a vehicle fleet.
Journal ArticleDOI

Acceleration‐based force‐impedance control of a six‐dof parallel manipulator

TL;DR: An acceleration‐based force‐impedance controller, applied to a six‐dof parallel mini‐manipulator: the robotic controlled impedance device (RCID), which enables two kinds of manipulator behaviour: force‐limited impedance control and position‐limited force control.
Book ChapterDOI

Planning Whole-body Humanoid Locomotion, Reaching, and Manipulation

TL;DR: A two-stage approach that combines powerful probabilistic geometric and kinematic motion planning and advanced dynamic motion control for humanoids for collision-free simultaneous locomotion and upper-body task is introduced.
Journal ArticleDOI

Local path planning for mobile robots based on intermediate objectives

TL;DR: A path planning algorithm for autonomous navigation of non-holonomic mobile robots in complex environments by solving an optimal control problem with constraints for efficient path planning in constrained receding horizon planning.
Journal ArticleDOI

Optimal path planning based on visibility

TL;DR: In this article, optimal path planning for mobile observers such as mobile robots equipped with cameras to obtain maximum visual coverage of a surface in the three-dimensional Euclidean space is considered, and the existence of solutions to these problems is discussed first.