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Humanoid Vertical Jumping based on Force Feedback and Inertial Forces Optimization

Sophie Sakka, Kazuhito Yokoi

Year
2006
Citations
41

Abstract

This paper proposes adapting human jumping dynamics to humanoid robotic structures. Data obtained from human jumping phases and decomposition together with ground reaction forces (GRF) are used as model references. Moreover, bodies inertial forces are used as task constraints while optimizing energy to determine the humanoid robot posture and improve its jumping performances.

Keywords

JumpingHumanoid robotGround reaction forceComputer scienceInertial frame of referenceRobotControl theory (sociology)SimulationTask (project management)Artificial intelligence

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