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.read more
Citations
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Proceedings ArticleDOI
Computation of optimal and collisionfree movements for mobile robots
TL;DR: A method for calculating optimal, collisionfree movements for nonholonomic mobile robots is presented, formulated as a nonlinear optimal control problem and solved using advanced numerical methods.
Discrete event modeling, simulation and control with application to sensor based intelligent mobile robotics
TL;DR: Discrete Event Modeling, Simulation and Control with Application to Sensor Based Intelligent Mobile Robotics.
Book ChapterDOI
Numerical Investigation of the Value Function for the Homicidal Chauffeur Problem with a More Agile Pursuer
Valerii S. Patsko,Varvara Turova +1 more
TL;DR: In this paper, a time-optimal differential game in which the pursuer possesses increased control capabilities comparing to the classical homicidal chauffeur problem is studied. But the pursuers can only change the angular velocity of turn and not the magnitude of his linear velocity.
Proceedings Article
Tracking of a unicycle-type mobile robot using integral sliding mode control
TL;DR: This paper deals with the tracking control for a dynamic model of a wheeled mobile robot in the presence of some perturbations based on integral sliding mode and demonstrates the results on the studied mobile robot.
Book ChapterDOI
Behavioral Animation of Crowds
TL;DR: One of the important characteristics of behavioral animation is its ability to reduce the workload on the animators, by letting a behavioral model automatically take care of the low-level details of the animation, freeing the animator to concentrate on the big picture.