TY - GEN
T1 - Low-centroid Crawling Motion for Humanoid Robot Based on Whole-body Dynamics and Trajectory Optimization
AU - Jin, Mingyue
AU - Gao, Junyao
AU - Lai, Junhang
AU - Jin, Xiaokun
AU - Zuo, Weilong
AU - Cao, Jingwei
AU - Xin, Xilong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Humanoid robots show the ability to replace humans for some dangerous tasks in complex environment. There are various motion types for robots moving into the dangerous environment like walking, rolling and crawling. However, the higher centroid brings instability when humanoid robots execute walking motion. Rolling motion may cause damage crash to the robot's mechanical structure. Therefore, a crawling action with low-centroid and less collision force is designed for robots to execute dangerous tasks. Firstly, a mechanical structure is designed for our robot called BHR-FCR. BHR-FCR own 23-Degree of Freedom (DoF) which provides possibility to achieve crawling motion. Then, Newton-Euler iterative recursion and Lagrange method are adopted for dynamics analysis which provides the basis for trajectory planning. Moreover, in the view of energy loss, the whole-body motion trajectory is generated by dynamic model and trajectory optimization with collocation method. The simulation and real-world experiments depict that BHR-FCR robot is able to crawl across lower wall and crawl on the slope which illustrates the stability of BHR-FCR mechanical structure and the effectiveness proposed algorithm.
AB - Humanoid robots show the ability to replace humans for some dangerous tasks in complex environment. There are various motion types for robots moving into the dangerous environment like walking, rolling and crawling. However, the higher centroid brings instability when humanoid robots execute walking motion. Rolling motion may cause damage crash to the robot's mechanical structure. Therefore, a crawling action with low-centroid and less collision force is designed for robots to execute dangerous tasks. Firstly, a mechanical structure is designed for our robot called BHR-FCR. BHR-FCR own 23-Degree of Freedom (DoF) which provides possibility to achieve crawling motion. Then, Newton-Euler iterative recursion and Lagrange method are adopted for dynamics analysis which provides the basis for trajectory planning. Moreover, in the view of energy loss, the whole-body motion trajectory is generated by dynamic model and trajectory optimization with collocation method. The simulation and real-world experiments depict that BHR-FCR robot is able to crawl across lower wall and crawl on the slope which illustrates the stability of BHR-FCR mechanical structure and the effectiveness proposed algorithm.
KW - BHR-FCR humanoid robot
KW - dynamics
KW - kinematics
KW - low-centroid crawling motion
KW - trajectory optimization
UR - http://www.scopus.com/inward/record.url?scp=85150220885&partnerID=8YFLogxK
U2 - 10.1109/ICRAE56463.2022.10056163
DO - 10.1109/ICRAE56463.2022.10056163
M3 - Conference contribution
AN - SCOPUS:85150220885
T3 - 2022 7th International Conference on Robotics and Automation Engineering, ICRAE 2022
SP - 199
EP - 205
BT - 2022 7th International Conference on Robotics and Automation Engineering, ICRAE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Robotics and Automation Engineering, ICRAE 2022
Y2 - 18 November 2022 through 20 November 2022
ER -