Home /Research /Event-based climbing motion planning for a quadruped robot
LOCOMOTION

Event-based climbing motion planning for a quadruped robot

Xiao Sun, Kenji Hashimoto, Ayanori Koizumi, Shinya Hamamoto, Takashi Matsuzawa, Tomotaka Teramachi, Atsuo Takanishi

Year
2015
Citations
2

Abstract

This paper explains a motion planning strategy that is not based on time but on "event", which can be explained as the path that the end-effector of robot tracks in our study. Arc-length parameterization is used in this paper to convert a time-based planning into an event-based planning. With our planning, it is possible to choose various time planning on the same given path so that tasks such as dynamic obstacle avoidance and performance test of motors become available. Simulation results about time planning implemented to a given path verifies the effectiveness of our event-based planning.

Keywords

Motion planningEvent (particle physics)Computer scienceObstacle avoidanceRobotObstaclePath (computing)SimulationReal-time computingMobile robot

Related papers

Browse all LOCOMOTION papers