This cross-journal Collection brings together research at the intersection of neuroscience, artificial intelligence, neuromorphic hardware, and robotics with a focus on how insights from brain function can inspire the design of more adaptive, efficient, and intelligent systems. We welcome submissions that explore neurobiologically-inspired models, architectures, and learning algorithms that have the potential to enhance embodied AI and robotic systems.