Humanoid adaptive locomotion control through a bioinspired CPG-based controller
Chenpeng Yao, Chengju Liu, Li Xia, Ming Liu, Qijun Chen
Abstract
Abstract To achieve adaptive gait planning of humanoid robots, a hierarchical central pattern generator (H-CPG) model with a basic rhythmic signal generation layer and a pattern formation layer is proposed to modulate the center of mass (CoM) and the online foot trajectory. The entrainment property of the CPG is exploited for adaptive walking in the absence of a priori knowledge of walking conditions, and the sensory feedback is applied to modulate the generated trajectories online to improve walking adaptability and stability. The developed control strategy is verified using a humanoid robot on sloped terrain and shows good performance.
Topics & Concepts
Central pattern generatorHumanoid robotController (irrigation)Computer scienceDigital pattern generatorGaitControl theory (sociology)TrajectoryTerrainEntrainment (biomusicology)RobotAdaptive controlArtificial intelligenceControl (management)RhythmPhysical medicine and rehabilitationEcologyMedicineBiologyChipAestheticsPhysicsPhilosophyAgronomyAstronomyTelecommunicationsRobotic Locomotion and ControlProsthetics and Rehabilitation RoboticsZebrafish Biomedical Research Applications