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Bio-Inspired Manipulation and Robotics

Bio-Inspired Manipulation and Robotics

This eBook aims to bring together the latest advances and developments in the bio-inspired manipulation and robotics. Topics include, but are not limited to: bio-inspired manipulation (such as grasping/assembly/welding), bio-inspired learning in robots, bio-inspired sensory-motor coordination, bio-inspired robotics, bio-inspired coordination of multi-agent systems, bio-inspired control or filtering in robots, and bio-inspired intelligent technologies in robots.


A bio-inspired scan matching algorithm for mobile robots in outdoor environments,A new genetic algorithm approach to smooth path planning for mobile robots,A novel path planning method for biomimetic robot based on deep learning,An advanced immune based strategy to obtain an optimal feasible assembly sequence,Bio-inspired approach to invariant recognition and classification of fabric weave patterns and yarn color,Bio-inspired kinematical control of redundant robotic manipulators,Bio-inspired neural network with application to license plate recognition: hysteretic ELM approach,Guest Editorial,Improved GA and pareto optimization-based facial expression recognition,Neural-network-based containment control of nonlinear multi-agent systems under communication constraints,On the small fiber-coupled laser controller for animal robot,Path planning for intelligent robot based on switching local evolutionary PSO algorithm,Takagi-Sugeno System for Supervisory Formation Control of Seeker Mounted Unmanned Aerial Vehicles

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