Bio-Inspired Self-Organizing Robotic Systems

Inspired by biological phenomena such as social insect behavior and molecular morphogenesis, self-organizing approaches in advanced robotic systems have an ever-higher profile, and this valuable reference covers the state of the art in this field.

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-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. Bio-inspired Self-organizing Robotic Systems provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.

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 evolutionary computation Written by experts in the field

Inhalt
Part I: Self-Organizing Swarm Robotic Systems .- Part II: Self-Reconfigurable Modular Robots .- Part III: Autonomous Mental Development in Robotic Systems .- Part IV: Special Applications Part III: Autonomous Mental Development in Robotic Systems .- Part IV: Special Applications.