Activity: Talk or presentation › Poster presentation › unknown
Description
Typically, gait pattern generation for bipedal robots utilizes a simplified model, neglecting the rate of change of the angular momentum. In this paper a linear parameter optimization problem for this simplified model, extended by an estimation of the angular momentum, is proposed to generate stable walking patterns that can be solved online and still consider the nonlinear effects of the multi-body model. The scheme was used successfully to generate trajectories for a fullsize humanoid robot.
Period
30 Nov 2012
Event title
IEEE-RAS International Conference on Humanoid Robots 2012