Capturability-based Fuzzy Footstep Planner for a Biped Robot with Centroidal Compliance  

作　　者：Zihan Xu Qin Fang Yong Ren Chengju Liu 

机构地区：[1]Robot and Artificial Intelligence Lab(RAIL),College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China [2]Applied Technology College,Soochow University,Suzhou 215000,China

出　　处：《Journal of Bionic Engineering》2024年第1期84-100,共17页仿生工程学报（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grants 62173248,62073245.

摘　　要：Compliance motion and footstep adjustment are active balance control strategies from learning human subconscious behaviors.The force estimation without direct end-actuator force measurement and the optimal footsteps based on complex analytical calculation are still challenging tasks for elementary and kid-size position-controlled robots.In this paper,an online compliant controller with Gravity Projection Observer(GPO),which can express the external force condition of perturbations by the estimated Projection of Gravity(PoG)with estimation covariance,is proposed for the realization of disturbance absorption,with which the robustness of the humanoid contact with environments can be maintained.The fuzzy footstep planner based on capturability analysis is proposed,and the Model Predictive Control(MPC)is applied to generate the desired steps.The fuzzification rules are well-designed and give the corresponding control output responding to complex and changeable external disturbances.To validate the presented methods,a series of experiments on a real humanoid robot are conducted.The results verify the effectiveness of the proposed balance control framework.

关 键 词：Biped walking Centroidal compliance Gravity projection observer Fuzzy footstep planner 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]