Review of Motion Control Research for Bionic Quadruped Robots: From Biological Inspiration to Algorithm Implementation

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Motion control technologies for bionic quadruped robots still lag behind natural quadrupeds, affecting efficiency and adaptability.
Current systems have limited abilities to negotiate obstacles and show substantial inefficiencies in execution.
The review explores biological mechanisms like tendon elasticity and robotic approaches including reinforcement learning.
Integrating biological elasticity and refining algorithms may lead to significant advancements in practical applications.

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This review analyzes motion control in bionic quadruped robots, highlighting challenges and the role of biological inspiration.

Yumeng Song (2025) studied this question.

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