Издательство InTech, 2011, -596 pp.
Multi robot systems have recently att racted considerable att ention from roboticists as these off er the possibility of accomplishing a task that a single robot can not. A robot team may provide redundancy and perform assigned tasks in a more reliable, faster, or cheaper way.
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 fi rst section, applications on formation, localization/mapping, and planning are introduced. The second section is on behavior-based approach by means of artifi cial intelligence techniques. The last section includes research articles on development of architectures and control systems.
I wish everybody a pleasant and fruitful time reading this book, and, most importantly, that the readers lea something new by seeing things from a new perspective.
Part 1 Task Oriented Approach
Swarm Pattes: Trends and Transformation Tools
Formation and Obstacle Avoidance in the Unknown Environment of Multi-Robot System
Distributed Adaptive Control for Networked Multi-Robot Systems
Model-Based Nonlinear Cluster Space Control of Mobile Robot Formations
A Robust Nonlinear Control for Differential Mobile Robots and Implementation on Formation Control
Building Visual Maps with a Team of Mobile Robots
Multirobot Cooperative Model applied to Coverage of Unknown Regions
Cooperative Global Localization in Multi-robot System
Cooperative Localization and SLAM Based on the Extended Information Filter
Multi-Robot SLAM: A Vision-Based Approach
Probabilistic Map Building, Localization and Navigation of a Team of Mobile Robots. Application to Route Following
Graph-based Multi Robot Motion Planning: Feasibility and Structural Properties
Target Tracking for Mobile Sensor Networks Using Distributed Motion Planning and Distributed Filtering
Multi-robot Path Planning
Object Path Planner for the Box Pushing Problem
Time-Invariant Motion Planner in Discretized C Spacetime for MRS
Part 2 Bio Inspired Approach
Coordinated Hunting Based on Spiking Neural Network for Multi-robot System
Multi-robot Information Fusion and Coordination Based on Agent
Bio-Inspired Communication for Self-Regulated Multi-Robot Systems
Multi-Robot Task Allocation Based on Swarm Intelligence
Research on Multi-Robot Architecture and Decision-making Model
Auction and Swarm Multi-Robot Task Allocation Algorithms in Real Time Scenarios
Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Leaing Technique for Multi-Robot Systems
A Reinforcement Leaing Technique with an Adaptive Action Generator for a Multi-Robot System
Part 3 Modeling/Design
A Control Agent Architecture for Cooperative Robotic Tasks
Robot Teams and Robot Team Players
On the Problem of Representing and Characterizing the Dynamics of Multi-Robot Systems
Modeling, Simulation and Control of 3-DOF Redundant Fault Tolerant Robots by Means of Adaptive Inertia
Comparison of Identification Techniques for a 6-DOF Real Robot and Development of an Intelligent Controller
Multi robot systems have recently att racted considerable att ention from roboticists as these off er the possibility of accomplishing a task that a single robot can not. A robot team may provide redundancy and perform assigned tasks in a more reliable, faster, or cheaper way.
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 fi rst section, applications on formation, localization/mapping, and planning are introduced. The second section is on behavior-based approach by means of artifi cial intelligence techniques. The last section includes research articles on development of architectures and control systems.
I wish everybody a pleasant and fruitful time reading this book, and, most importantly, that the readers lea something new by seeing things from a new perspective.
Part 1 Task Oriented Approach
Swarm Pattes: Trends and Transformation Tools
Formation and Obstacle Avoidance in the Unknown Environment of Multi-Robot System
Distributed Adaptive Control for Networked Multi-Robot Systems
Model-Based Nonlinear Cluster Space Control of Mobile Robot Formations
A Robust Nonlinear Control for Differential Mobile Robots and Implementation on Formation Control
Building Visual Maps with a Team of Mobile Robots
Multirobot Cooperative Model applied to Coverage of Unknown Regions
Cooperative Global Localization in Multi-robot System
Cooperative Localization and SLAM Based on the Extended Information Filter
Multi-Robot SLAM: A Vision-Based Approach
Probabilistic Map Building, Localization and Navigation of a Team of Mobile Robots. Application to Route Following
Graph-based Multi Robot Motion Planning: Feasibility and Structural Properties
Target Tracking for Mobile Sensor Networks Using Distributed Motion Planning and Distributed Filtering
Multi-robot Path Planning
Object Path Planner for the Box Pushing Problem
Time-Invariant Motion Planner in Discretized C Spacetime for MRS
Part 2 Bio Inspired Approach
Coordinated Hunting Based on Spiking Neural Network for Multi-robot System
Multi-robot Information Fusion and Coordination Based on Agent
Bio-Inspired Communication for Self-Regulated Multi-Robot Systems
Multi-Robot Task Allocation Based on Swarm Intelligence
Research on Multi-Robot Architecture and Decision-making Model
Auction and Swarm Multi-Robot Task Allocation Algorithms in Real Time Scenarios
Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Leaing Technique for Multi-Robot Systems
A Reinforcement Leaing Technique with an Adaptive Action Generator for a Multi-Robot System
Part 3 Modeling/Design
A Control Agent Architecture for Cooperative Robotic Tasks
Robot Teams and Robot Team Players
On the Problem of Representing and Characterizing the Dynamics of Multi-Robot Systems
Modeling, Simulation and Control of 3-DOF Redundant Fault Tolerant Robots by Means of Adaptive Inertia
Comparison of Identification Techniques for a 6-DOF Real Robot and Development of an Intelligent Controller