In this book experts introduce to research in the new field of highly redundant sensing in robotic systems. Fundamental issues addressed are: theory and techniques, general concepts, implementation and applica- tion, and biological analogies.

Inhalt
I General Theory and Overview.- A Knowledge-based System for Redundant and Multi Sensing in Intelligent Robots.- An Overview of Visual and Tactile Sensor Technology.- II Biological Aspects.- Highly Redundant Sensing in Robotics Analogies from Biology: Distributed Sensing and Learning.- III Specific Data Fusion Approaches and Examples.- The Multisensory System of the KAMRO Robot.- Multi-Sensor Integration for Fine Manipulation.- Hierarchical Robot Multi-Sensor Data Fusion System.- A Phenomenological Approach to Thermal and Visual Sensor Fusion.- Tools for Multisensor Data Fusion in Autonomous Robots.- High Speed Trinocular Stereo for Mobile-Robot Navigation.- IV Circuits and System Design.- Using VLSI Circuits for Optimal Signal Handling in Multisensorial Robotic Systems.- Compact Pyramidal Architectures.- V Control Concepts.- On the Phenomenon of High Redundancy in Robotic Perception.- Self-Organizing Sensory Systems.- Structural Solution of Highly Redundant Sensing in Robotic Systems.- Control Concepts for Industrial Robots Equipped with Multiple and Redundant Sensors.- A Variable Structure Control Algorithm for Robot Manipulators Using Acceleration Feedback.- A Multi-Sensor Distributed System for a Flexible Assembly Cell.- List of Lecturers and Participants.