Journal of Bionic Engineering ›› 2023, Vol. 20 ›› Issue (5): 2108-2122.doi: 10.1007/s42235-023-00362-w

• • 上一篇    下一篇

A Unified Trajectory Optimization Approach for Long-Term and Reactive Motion Planning of Legged Locomotion

Yapeng Shi1; Bin Yu1;  Kaixian Ba1;  Mantian Li2   

  1. 1 School of Mechanical Engineering, Yanshan University, No. 438 West Hebei Avenue, Qinhuangdao 066004, Hebei, People’s Republic of China  2 State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, People’s Republic of China
  • 出版日期:2023-08-26 发布日期:2023-09-06
  • 通讯作者: Yapeng Shi;Bin Yu E-mail:shiyapeng@ysu.edu.cn;yb@ysu.edu.cn
  • 作者简介:Yapeng Shi1; Bin Yu1; Kaixian Ba1; Mantian Li2

A Unified Trajectory Optimization Approach for Long-Term and Reactive Motion Planning of Legged Locomotion

Yapeng Shi1; Bin Yu1;  Kaixian Ba1;  Mantian Li2   

  1. 1 School of Mechanical Engineering, Yanshan University, No. 438 West Hebei Avenue, Qinhuangdao 066004, Hebei, People’s Republic of China  2 State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, People’s Republic of China
  • Online:2023-08-26 Published:2023-09-06
  • Contact: Yapeng Shi;Bin Yu E-mail:shiyapeng@ysu.edu.cn;yb@ysu.edu.cn
  • About author:Yapeng Shi1; Bin Yu1; Kaixian Ba1; Mantian Li2

摘要: This paper proposes a unified trajectory optimization approach that simultaneously optimizes the trajectory of the center of mass and footholds for legged locomotion. Based on a generic point-mass model, the approach is formulated as a nonlinear optimization problem, incorporating constraints such as robot kinematics, dynamics, ground reaction forces, obstacles, and target location. The unified optimization approach can be applied to both long-term motion planning and the reactive online planning through the use of model predictive control, and it incorporates vector field guidance to converge to the long-term planned motion. The effectiveness of the approach is demonstrated through simulations and physical experiments, showing its ability to generate a variety of walking and jumping gaits, as well as transitions between them, and to perform reactive walking in obstructed environments.

关键词:  , Legged locomotion , · Motion planning , · Trajectory optimization , · Bionic robot

Abstract: This paper proposes a unified trajectory optimization approach that simultaneously optimizes the trajectory of the center of mass and footholds for legged locomotion. Based on a generic point-mass model, the approach is formulated as a nonlinear optimization problem, incorporating constraints such as robot kinematics, dynamics, ground reaction forces, obstacles, and target location. The unified optimization approach can be applied to both long-term motion planning and the reactive online planning through the use of model predictive control, and it incorporates vector field guidance to converge to the long-term planned motion. The effectiveness of the approach is demonstrated through simulations and physical experiments, showing its ability to generate a variety of walking and jumping gaits, as well as transitions between them, and to perform reactive walking in obstructed environments.

Key words:  , Legged locomotion , · Motion planning , · Trajectory optimization , · Bionic robot