A Spiking Neural Architecture for Coordinating Arm and Locomotor Control
Researchers have developed a novel spiking neural network architecture capable of coordinating both arm and locomotor control in humanoid robots. This system integrates force-based arm control with bipedal locomotion, mediated by a spiking basal ganglia model for action selection. The architecture has been successfully demonstrated in simulation, enabling tasks such as target reaching, drawing, and path-following locomotion, with seamless switching between walking and arm manipulation. AI
IMPACT Enables more integrated and energy-efficient control for humanoid robots, paving the way for deployment on neuromorphic hardware.