Deep imitation learning for neuromechanical control: realistic walking in an embodied fly
Elliott Abe, Charles Zhang, Raveena Chhibber, Grant Chou, Jason Foat, Dang Truong, Bence Olveczky, Nathan Sniadecki, John Tuthill, Talmo Pereira, Bing Brunton · COSYNE 2025
Most walking animals can maintain motor control after limb injury or amputation, where coordinating movements of a drastically altered body requires dynamic interactions between the nervous system, the biomechanics of the body, and the physical environment. Until recently, it has been challenging to link neural and biomechanical models to investigate adaptive motor recovery because it requires coupling neural control in closed-loop with the environment. Further, while previous approaches have been able to simulate walking in biomechanically realistic bodies, the joint kinematics and ground rea
ePoster · Neuroscience