Design and control of intelligent robotic systems/ Liu, Dikai

Computational Intelligence Techniques in Bio-inspired Robotics.- Swarm Intelligence for Collective Robotic Search.- A Glowworm Swarm Optimization Based Multi-robot System for Signal Source Localization.- Evolutionary Robotics: From Simulation-Based Behavior Learning to Direct Teaching in Real Environments.- Ranked Pareto Particle Swarm Optimization for Mobile Robot Motion Planning.- Path Planning Inspired on Emotional Intelligence.- An Exploration of Online Parallel Learning in Heterogeneous Multi-robot Swarms.- Robot Control in Dynamic Environments Using Memory-Based Learning.- A Behavior Based Control and Learning Approach to Real Robots.- Incremental Acquisition of Neural Structures through Evolution.- Evolutionary Terrain-Based Navigation of Autonomous Mobile Robots.- A Novel Intelligent Control Approach for Precise Tracking of Autonomous Robots.- Punctuated Anytime Learning to Evolve Robot Control for Area Coverage.- Local Methods for Supporting Grounded Communication in Robot Teams.- Vision SLAM Maps: Towards Richer Content.- Learning of Hierarchical Perception-Action Cycles.- Advancing Artificial Intelligence through Minimalist Humanoid Robotics.- Design, Modeling and Control of an Ankle Rehabilitation Robot.- Markovito: A Flexible and General Service Robot.- Task Based Hybrid Closure Grasping Optimization for Autonomous Robot Hand.- Triangular Targeting Algorithm (TTA) for Accurate Motion Control of Fast Mobile Robots.