IEEE CEC’2019 Special Session - Biologically-inspired Intelligence and Evolutionary Computation for Robotics

Integrated technique of biologically-inspired intelligence and evolutionary computation, an important embranchment of series on computational intelligence, plays a crucial role for robotics. The autonomous robot and vehicle industry has had an immense impact on our economy and society, and this trend will continue with evolutionary computation and its hybridizations with biologically inspired intelligence techniques. Biologically-inspired intelligence based evolutionary computation, such as Ant colony optimization algorithms, is about learning from nature, which can be applied to the real world robot and vehicle systems. Recently, the research and development of incorporation of bio-inspired systems and evolutionary computation for robotic applications is increasingly expanding worldwide. Recently, evolutionary computation technique has effectively integrated with biologically-inspired algorithms including emerging sub-topics such as bio-inspired neural network algorithms, brain-inspired neural networks, swam intelligence, etc. Additionally, it is decomposed of computational aspects of bio-inspired system based evolutionary computation system applications such as machine vision, pattern recognition for robot and vehicle systems, motion control, motion planning, movement control, sensor-motor coordination, and learning in biological systems for robot and vehicle systems.

This special session seeks to highlight and present the growing interests in emerging research, development and applications in the dynamic and exciting areas of biologically-inspired algorithm based evolutionary computation for robot and vehicle systems (autonomous robots, unmanned underwater vehicles, and unmanned aerial vehicles).