Design and control of intelligent robotic systems

With the increasing applications of intelligent robotic systems in various fields, the design and control of these systems have increasingly attracted interest from researchers. This edited book entitled Design and Control of Intelligent Robotic Systems in the book series of Studies in Computational...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Liu, Dikai
অন্যান্য লেখক: Wang, Lingfeng (Editor, Publishing director), Tan, Kay Chen (Editor, Publishing director), Kacprzyk, Janusz, 1947- (Publishing director), Liu, Dikai, 19..- (Publishing director)
বিন্যাস: Livre numérique
ভাষা:Anglais
প্রকাশিত: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
সংস্করন:1st ed. 2009.
মালা:Studies in Computational Intelligence 177
অনলাইন ব্যবহার করুন:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
টীকা: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Design and Control of Intelligent Robotic Systems, Texte imprimé, 9783540899327
• Design and Control of Intelligent Robotic Systems, Texte imprimé, 9783540899341
• Design and Control of Intelligent Robotic Systems, Texte imprimé, 9783642100666
• Design and Control of Intelligent Robotic Systems, Texte imprimé, 9783540899327
সূচিপত্রের সারণি:
  • 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