Robots Learn to Navigate Rough Terrain with Animal-Inspired Gait Transitions

Using deep reinforcement learning, EPFL researchers trained a robot to adapt its gait for better stability and fall prevention across uneven surfaces.

• EPFL's BioRobotics Lab developed a robot that mimics animal gait transitions to navigate challenging terrains, enhancing movement adaptability.
• The robot's ability to switch from trotting to pronking on uneven surfaces highlights a focus on fall prevention over energy efficiency.
• Research indicates that gait transitions, previously attributed to energy efficiency, are primarily driven by the need to maintain stability and avoid falls.
• The study's bio-inspired learning architecture marks a significant advancement in robotic agility and autonomous gait adaptation.
• Future research aims to broaden robot applications in biological studies, reducing dependency on animal testing.

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