Autonomous Mobile Robots examines in detail the key components that form an autonomous mobile robot, from sensors and sensor fusion to modeling and control, map building and path planning, and decision making and autonomy, and to the final integration of these components for diversified applications.

Features:

• Examines state-of-the-art theoretical, technical, and practical issues common to both centralized and distributed autonomous robotic systems
• Provides a coherent view of autonomous robots at the systems level
• Offers expert guidance on the sensors, control, planning and coordination, and decision making aspects of autonomous mobile robots
• Guides in system integration and architecture design, as well as the deployment and applications of autonomous robotic systems

Contents

Sensors and Sensor Fusion

• Visual Guidance for Autonomous Vehicles: Capability and Challenges
• Millimeter Wave RADAR Power-Range Spectra Interpretation for Multiple Feature Detection
• Data Fusion via Kalman Filter: GPS and INS
• Landmarks and Triangulation in Navigation

Modeling and Control

• Stabilization of Nonholonomic Systems
• Adaptive Neural-Fuzzy Control of Nonholonomic Mobile Robots
• Adaptive Control of Mobile Robots Including Actuator Dynamics
• Unified Control Design for Autonomous Car-Like Vehicle Tracking Maneuvers

Map Building and Path Planning

• Map Building and SLAM Algorithms
• Motion Planning: Recent Developments
• Multi-Robot Cooperation

Decision Making and Autonomy

• Knowledge Representation and Decision Making for Mobile Robots
• Algorithms for Planning under Uncertainty in Prediction and Sensing
• Behavior-Based Coordination in Multi-Robot Systems

System Integration and Applications

• Integration for Complex Consumer Robotic Systems: Case Studies and Analysis
• Automotive Systems/Robotic Vehicles
• Intelligent Systems

Index

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