Quick Search Adv. Search

Journal of Bionic Engineering ›› 2021, Vol. 18 ›› Issue (6): 1463-1474.doi: 10.1007/s42235-021-00089-6

Previous Articles    

An Efficient Gait-generating Method for Electrical Quadruped Robot Based on Humanoid Power Planning Approach 

Lelai Zhou 1,2, Tianfa Li 1,2, Zaiyang Liu 1,2, Yibin Li 1,2   

  1. 1 School of Control Science and Engineering, Center for Robotics , Shandong University , Jinan   250061 , China
    2 Engineering Research Center of Intelligent Unmanned System , Ministry of Education , Jinan   250061 , China 
  • Received:2020-09-14 Revised:2021-07-25 Accepted:2021-08-08 Online:2021-11-10 Published:2021-12-21
  • Contact: Tianfa Li E-mail:201814477@mail.sdu.edu.cn
  • About author:Lelai Zhou 1,2, Tianfa Li 1,2, Zaiyang Liu 1,2, Yibin Li 1,2

Abstract: The research field of legged robots has always relied on the bionic robotic research, especially in locomotion regulating approaches, such as foot trajectory planning, body stability regulating and energy efficiency prompting. Minimizing energy consumption and keeping the stability of body are considered as two main characteristics of human walking. This work devotes to develop an energy-efficient gait control method for electrical quadruped robots with the inspiration of human walking pattern. Based on the mechanical power distribution trend, an efficient humanoid power redistribution approach is established for the electrical quadruped robot. Through studying the walking behavior acted by mankind, such as the foot trajectory and change of mechanical power, we believe that the proposed controller which includes the bionic foot movement trajectory and humanoid power redistribution method can be implemented on the electrical quadruped robot prototype. The stability and energy efficiency of the proposed controller are tested by the simulation and the single-leg prototype experiment. The results verify that the humanoid power planning approach can improve the energy efficiency of the electrical quadruped robots. 

Key words: Bionic robot, Mechanical power, Bionic trajectory, Quadruped robot