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This book is indexed in
Robotics » Multiagent Systems
Multi-Robot Systems, Trends and Development
Edited by Toshiyuki Yasuda, ISBN 978-953-307-425-2, Hard cover, 586 pages, Publisher: InTech, Chapters published January 30, 2011 under CC BY-NC-SA 3.0 license
DOI: 10.5772/544
This book is a collection of 29 excellent works and comprised of three sections: task oriented approach, bio inspired approach, and modeling/design. In the first section, applications on formation, localization/mapping, and planning are introduced. The second section is on behavior-based approach by means of artificial intelligence techniques. The last section includes research articles on development of architectures and control systems.
- Chapter 1
Swarm Patterns: Trends & Transformation Tools - Chapter 2
Formation and Obstacle Avoidance in the Unknown Environment of Multi-Robot System - Chapter 3
Distributed Adaptive Control for Networked Multi-Robot Systems - Chapter 4
Model-Based Nonlinear Cluster Space Control of Mobile Robot Formations - Chapter 5
A Robust Nonlinear Control for Differential Mobile Robots and Implementation on Formation Control - Chapter 6
Building Visual Maps with a Team of Mobile Robots - Chapter 7
Multirobot Cooperative Model Applied to Coverage of Unknown Regions - Chapter 8
Cooperative Global Localization in Multi-Robot System - Chapter 9
Cooperative Localization and SLAM Based on the Extended Information Filter - Chapter 10
Multi-Robot SLAM: A Vision-Based Approach - Chapter 11
Probabilistic Map Building, Localization and Navigation of a Team of Mobile Robots. Application to Route Following - Chapter 12
Graph-Based Multi Robot Motion Planning: Feasibility and Structural Properties - Chapter 13
Target Tracking for Mobile Sensor Networks Using Distributed Motion Planning and Distributed Filtering - Chapter 14
Multi-Robot Path Planning - Chapter 15
Object Path Planner for the Box Pushing Problem - Chapter 16
Time-Invariant Motion Planner in Discretized C-Spacetime for MRS - Chapter 17
Coordinated Hunting Based on Spiking Neural Network for Multi-Robot System - Chapter 18
Multi-Robot Information Fusion and Coordination Based on Agent - Chapter 19
Bio-Inspired Communication for Self-Regulated Multi-Robot Sytems - Chapter 20
Multi-Robot Task Allocation Based on Swarm Intelligence - Chapter 21
Research on Multi-Robot Architecture and Decision-Making Model - Chapter 22
Auction and Swarm Multi-Robot Task Allocation Algorithms in Real Time Scenarios - Chapter 23
Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-Robot Systems - Chapter 24
A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-Robot System - Chapter 25
A Control Agent Architecture for Cooperative Robotic Tasks - Chapter 26
Robot Teams and Robot Team Players - Chapter 27
On the Problem of Representing and Characterizing the Dynamics of Multi-Robot Systems - Chapter 28
Modeling, Simulation and Control of 3-DOF Redundant Fault Tolerant Robots by Means of Adaptive Inertia - Chapter 29
Comparison of Identification Techniques for a 6-DOF Real Robot and Development of an Intelligent Controller


