A strategy for push recovery in quadruped robot based on reinforcement learning

Author(s):  
Yang-zhen Chen ◽  
Wen-Qi Hou ◽  
Jian Wang ◽  
Jian-Wen Wang ◽  
Hong-xu Ma
2006 ◽  
Vol 2006.44 (0) ◽  
pp. 439-440
Author(s):  
Weijun TAO ◽  
Shuoyu WANG ◽  
Kouichi KAWATA ◽  
Youichi SHINOMIYA ◽  
Kenji ISHIDA ◽  
...  

Author(s):  
Petrus Sutyasadi ◽  
Manukid Parnichkun

Purpose The purpose of this paper is to introduce a quadruped robot strategy to avoid tipping down because of side impact disturbance and a control algorithm that guarantees the strategy can be controlled stably even in the presence of disturbances or model uncertainties. Design/methodology/approach A quadruped robot was developed. Trot gait is applied so the quadruped can be modelled as a compass biped model. The algorithm to find a correct stepping position after an impact was developed. A particle swarm optimization-based structure-specified mixed sensitivity (H2/H∞) robust is applied to reach the stepping position. Findings By measuring the angle and speed of the side tipping after an impact disturbance, a point location for the robot to step or the foothold recovery point (FRP) was successfully generated. The proposed particle swarm optimization-based structure-specified mixed sensitivity H2/H∞ robust control also successfully brought the legs to the desired point. Practical implications A traditional H∞ controller synthesis usually results in a very high order of controller. This makes implementation on an embedded controller very difficult. The proposed controller is just a second-order controller but it can handle the uncertainties and disturbances that arise and guarantee that FRP can be reached. Originality/value The first contribution is the proposed low-order robust H2/H∞ controller so it is easy to be programmed on a small embedded system. The second is FRP, a stepping point for a quadruped robot after receiving side impact disturbance so the robot will not fall.


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