JOURNAL ARTICLE

Real-Time Gait Planning for Pushing Motion of Humanoid Robot

Naoki MotoiMotomi IkebeKouhei Ohnishi

Year: 2007 Journal:   IEEE Transactions on Industrial Informatics Vol: 3 (2)Pages: 154-163   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper describes real-time gait planning for pushing motion of humanoid robots. This method deals with an object whose mass is not known. In order that a humanoid robot pushes an unknown object in both single support phase and double support phase, real-time gait planning for pushing the unknown object is proposed. Real-time gait planning consists of zero moment point (ZMP) modification and cycle time modification. ZMP modification is the method that modifies the influence of reaction force to ZMP. By cycle time modification, the period in double support phase is modified to avoid a robot tipping over. These modifications are calculated from reaction force on arms in every cycle. With these methods, trajectory planning for pushing an unknown object in both single support phase and double support phase is calculated. Even if parameters of an object and friction coefficient on the floor vary, the robot keeps on walking while pushing an object. The effectiveness of the proposed method is confirmed by a simulation and an experiment.

Keywords:
Zero moment point Humanoid robot Trajectory Gait Robot Object (grammar) Simulation Moment (physics) Computer science Robot kinematics Reaction Motion planning Phase (matter) Control theory (sociology) Engineering Mobile robot Artificial intelligence Control (management) Physical medicine and rehabilitation Physics

Metrics

39
Cited By
1.84
FWCI (Field Weighted Citation Impact)
23
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Locomotion and Control
Physical Sciences →  Engineering →  Biomedical Engineering
Prosthetics and Rehabilitation Robotics
Physical Sciences →  Engineering →  Biomedical Engineering
Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering
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