What question did this study set out to answer?

The aim is to develop a control architecture for multi-legged robots to navigate rough terrain effectively.

Walking on Rough Terrain with Any Number of Legs

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Simulation study explores innovative control for multi-legged robots, suggesting a new approach for enhanced agility.

The aim is to develop a control architecture for multi-legged robots to navigate rough terrain effectively.
Simulation study of a multi-legged robot with 3 actuators for every 2 legs, validated for 6 to 16 legs.
Design integrates input from neighboring segments and employs both ground contact and fictive locomotion techniques.
Demonstrated effective navigation over rough terrain with varying leg configurations.
Proposed control method helps bridge gap between traditional event cascade controllers and CPG-based controllers.

Chen et al. (2026) studied this question.

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