Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot
The ability of bipedal humanoid robots to walk adaptively on varied terrain is a critical challenge for practical applications, drawing substantial attention from academic and industrial research communities in recent years. Traditional model-based locomotion control methods have high modeling compl...
Saved in:
Main Authors: | Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Biomimetic Intelligence and Robotics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266737972500004X |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Benchmarking Standing Stability for Bipedal Robots
by: Juan A. JUANCASTANO, et al.
Published: (2025-01-01) -
Human-Inspired Gait and Jumping Motion Generation for Bipedal Robots Using Model Predictive Control
by: Zhen Xu, et al.
Published: (2025-01-01) -
Legged odometry based on fusion of leg kinematics and IMU information in a humanoid robot
by: Huailiang Ma, et al.
Published: (2025-03-01) -
Squat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control
by: Hongxiang Chen, et al.
Published: (2025-01-01) -
Multimodal Adaptive Identity-Recognition Algorithm Fused with Gait Perception
by: Changjie Wang, et al.
Published: (2021-12-01)