Combining Prior Knowledge and Reinforcement Learning for Parallel Telescopic-Legged Bipedal Robot Walking
The parallel dual-slider telescopic leg bipedal robot (L04) is characterized by its simple structure and low leg rotational inertia, which contribute to its walking efficiency. However, end-to-end methods often overlook the robot’s physical structure, leading to difficulties in maintaining the paral...
Saved in:
| Main Authors: | Jie Xue, Jiaqi Huangfu, Yunfeng Hou, Haiming Mou |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/6/979 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reinforcement Learning for Bipedal Jumping: Integrating Actuator Limits and Coupled Tendon Dynamics
by: Yudi Zhu, et al.
Published: (2025-07-01) -
A baboon walking on a treadmill: the use of positive reinforcement techniques to study bipedal walking in non-human primates
by: François Druelle, et al.
Published: (2022-03-01) -
Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot
by: Chao Ji, et al.
Published: (2025-03-01) -
Development of a Reduced-Degree-of-Freedom (DOF) Bipedal Robot with Elastic Ankles
by: Sharafatdin Yessirkepov, et al.
Published: (2024-12-01) -
Neural Adaptive Nonlinear MIMO Control for Bipedal Walking Robot Locomotion in Hazardous and Complex Task Applications
by: Belkacem Bekhiti, et al.
Published: (2025-06-01)