Motion Planning for Humanoid Robots

Research on humanoid robots has been mostly with the aim of developing robots that can replace humans in the performance of certain tasks. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the key research to...

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Outros autores: Harada, Kensuke (Directeur de la publication), Yoshida, Eiichi (Directeur de la publication), Yokoi, Kazuhito (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado: London : Springer London [20..].
Cham : Springer Nature
Edición:1st ed. 2010.
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Motion planning for humanoid robots, edited by Kensuke Harada, Eiichi Yoshida, Kazuhito Yokoi, London, Springer, 2010, 1 volume (xv-306 pages), 978-1-8499-6219-3
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505 1 |a Navigation and Gait Planning Compliant Control of Whole-body Multi-contact Behaviors in Humanoid Robots Whole-body Motion Planning Building Blocks for Intelligent Systems Planning Whole-body Humanoid Locomotion, Reaching, and Manipulation Efficient Motion and Grasp Planning for Humanoid Robots Multi-contact Acyclic Motion Planning and Experiments on HRP-2 Humanoid Motion Planning for a Humanoid Robot Based on a Biped Walking Pattern Generator Autonomous Manipulation of Movable Obstacles Multi-modal Motion Planning for Precision Pushing on a Humanoid Robot A Motion Planning Framework for Skill Coordination and Learning 
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520 |a Research on humanoid robots has been mostly with the aim of developing robots that can replace humans in the performance of certain tasks. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the key research topics in humanoid robotics research and the last few years have witnessed considerable progress in the field. Motion Planning for Humanoid Robots surveys the remarkable recent advancement in both the theoretical and the practical aspects of humanoid motion planning. Various motion planning frameworks are presented in Motion Planning for Humanoid Robots, including one for skill coordination and learning, and one for manipulating and grasping tasks. The problem of planning sequences of contacts that support acyclic motion in a highly constrained environment is addressed and a motion planner that enables a humanoid robot to push an object to a desired location on a cluttered table is described. The main areas of interest include: whole body motion planning, task planning, biped gait planning, and sensor feedback for motion planning. Torque-level control of multi-contact behavior, autonomous manipulation of moving obstacles, and movement control and planning architecture are also covered. Motion Planning for Humanoid Robots will help readers to understand the current research on humanoid motion planning. It is written for industrial engineers, advanced undergraduate and postgraduate students 
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