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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

Modular control of limb kinematics during human walking

TL;DR: The “A-A ratio” is introduced, which is the EMG ratio of agonist-antagonist muscle pairs, which specifies that human lower limb movement during walking is explained as the superposition of a few modular units, and that decomposed modules encode the kinematic information of body movement.
Journal ArticleDOI

Low-harmonic rational Be´zier curves for trajectory generation of high-speed machinery

TL;DR: In this paper a special class of rational Bezier curves is presented that correspond to low-harmonic trajectory patterns that can be used to synthesize trajectories within the dynamic response limitations of the actuators while avoiding the excitation of the natural modes of vibration of the system.
Journal ArticleDOI

Formation control for multiple unmanned aerial vehicles in constrained space using modified artificial potential field

TL;DR: A Modified Artificial Potential Field technique is proposed, which guarantees to generate and maintain a given formation while avoiding collisions, and an obstacle repulsive potential field is introduced into this approach to deal with collision avoidance under environmental constraints.
Journal ArticleDOI

Experimental tests of a sliding mode controller for trajectory tracking of a car-like mobile robot

TL;DR: A practical tracking controller is designed using the second-order sliding mode control of the super twisting algorithm of the Robucar to achieve output tracking of the desired trajectory, and the tracking errors vanish asymptotically.
Dissertation

Generating whole body movements for dynamics anthropomorphic systems under constraints

Layale Saab
TL;DR: An original method of motion generation aiming at the imitation of the human motion is developed based on the reshaping of the captured data and the motion editing by using the hierarchical solver previously introduced and the definition of dynamic tasks and constraints.