Overview: State-of-the-art research inspired by biological principles for self-organizing robotic systems.Bridges multi-disciplinary research areas such as robotics, artificial life, systems biology, and evolut.Self-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments. Compared with classical control methods for robotic systems, the major advantages of bio-inspired self
|