Multicontact Locomotion of Legged Robots

被引:73
|
作者
Carpentier, Justin [1 ]
Mansard, Nicolas [1 ]
机构
[1] Univ Toulouse, CNRS, Dept Robot, LAAS, F-31400 Toulouse, France
基金
欧洲研究理事会;
关键词
Humanoid robots; legged robots; machine learning; multicontact locomotion; optimal control; WALKING PATTERN GENERATION; OCCUPATION MEASURES; MOTION GENERATION; PREVIEW CONTROL; CONTACT; OPTIMIZATION; SOFTWARE;
D O I
10.1109/TRO.2018.2862902
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Locomotion of legged robots on arbitrary terrain using multiple contacts is yet an open problem. To tackle it, a common approach is to rely on reduced template models (e.g., the linear inverted pendulum). However, most of existing template models are based on some restrictive hypotheses that limit their range of applications. Moreover, reduced models are generally not able to cope with the constraints of the robot complete model, such as the kinematic limits. In this paper, we propose a complete solution relying on a generic template model, based on the centroidal dynamics, able to quickly compute multicontact locomotion trajectories for any legged robot on arbitrary terrains. The template model relies on exact dynamics and is thus not limited by arbitrary assumption. We also propose a generic procedure to handle feasibility constraints due to the robot's whole body as occupancy measures, and a systematic way to approximate them using offline learning in simulation. An efficient solver is finally obtained by introducing an original second-order approximation of the centroidal wrench cone. The effectiveness and the versatility of the approach are demonstrated in several multicontact scenarios with two humanoid robots both in reality and in simulation.
引用
收藏
页码:1441 / 1460
页数:20
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