Dynamic Gait Transition of a Humanoid Robot from Hand-Knee Crawling to Bipedal Walking based on Kinematic Primitives

Yan Huang, Qingqing Li, Aiguo Ming, Yu Liu, Yaliang Liu, Qiang Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

We propose a full-body joint trajectory generation method for dynamic gait transition of a humanoid robot from hand-knee crawling to bipedal walking. Kinematic primitives are extracted from stable walking and crawling. Then candidate joint trajectories of transition are constructed based on the basic patterns and polynomial interpolation with varying parameters. The set of joint trajectories with the largest stability margin is selected as the final transition pattern. The proposed motion planning method is validated on the simulated model of our recently developed humanoid robot BHR-6. A static transition method is used for comparison.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019
PublisherIEEE Computer Society
Pages240-245
Number of pages6
ISBN (Electronic)9781728131764
DOIs
Publication statusPublished - Oct 2019
Event15th IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019 - Beijing, China
Duration: 31 Oct 20192 Nov 2019

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
Volume2019-October
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Conference

Conference15th IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019
Country/TerritoryChina
CityBeijing
Period31/10/192/11/19

Fingerprint

Dive into the research topics of 'Dynamic Gait Transition of a Humanoid Robot from Hand-Knee Crawling to Bipedal Walking based on Kinematic Primitives'. Together they form a unique fingerprint.

Cite this