Hierarchical reinforcement learning for enhancing stability and adaptability of hexapod robots in complex terrains
In the field of hexapod robot control, the application of central pattern generators (CPG) and deep reinforcement learning (DRL) is becoming increasingly common. Compared to traditional control methods that rely on dynamic models, both the CPG and the end-to-end DRL approaches significantly simplify...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Biomimetic Intelligence and Robotics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667379725000221 |
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