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2008
IEEE

Online ZMP sampling search for biped walking planning

10 years 4 months ago
Online ZMP sampling search for biped walking planning
— In this paper, we present a new method that uses random search for online planning of biped walking, given a feasible footstep plan. The Linear Inverted Pendulum dynamic model and the Zero Moment Point concept are employed to solve the walking problem. We consider walk planning as the choice of a sequence of ZMPs leading to a stable walk that satisfies all the dynamic and mechanical constraints of the robot. We contribute a novel online sampling algorithm to efficiently search for such ZMP sequence. We demonstrate the effectiveness of the algorithm by successful combined walking tasks in a faithful simulation of a full-body humanoid robot.
Jinsu Liu, Manuela M. Veloso
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IROS
Authors Jinsu Liu, Manuela M. Veloso
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