Integration, Coordination and Control of Multi-Sensor Robot Systems (Hardcover)

Hugh F. Durrant-Whyte

ISBN 10: 0898382475 / ISBN 13: 9780898382471

Published by Kluwer Academic Publishers, Dordrecht, 1987

About this Item

Hardcover. Overview Recent years have seen an increasing interest in the development of multi-sensory robot systems. The reason for this interest stems from a realization that there are fundamental limitations on the reconstruction of environment descriptions using only a single source of sensor information. If robot systems are ever to achieve a degree of intelligence and autonomy, they must be capable of using many different sources of sensory information in an active and dynamic manner. The observations made by the different sensors of a multi-sensor system are always uncertain, usually partial, occasionally spuri9us or incorrect and often geographically or geometrically imcomparable with other sensor views. The sensors of these systems are characterized by the diversity of information that they can provide and by the complexity of their operation. It is the goal of a multi sensor system to combine information from all these different sources into a robust and consistent description of the environment. The observations made by the different sensors of a multi-sensor system are always uncertain, usually partial, occasionally spuri9us or incorrect and often geographically or geometrically imcomparable with other sensor views. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780898382471

Bibliographic Details

• Title: Integration, Coordination and Control of Multi-Sensor Robot Systems (Hardcover)
• Publisher: Kluwer Academic Publishers, Dordrecht
• Publication Date: 1987
• Language: English
• ISBN 10: 0898382475
• ISBN 13: 9780898382471
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Overview Recent years have seen an increasing interest in the development of multi-sensory robot systems. The reason for this interest stems from a realization that there are fundamental limitations on the reconstruction of environment descriptions using only a single source of sensor information. If robot systems are ever to achieve a degree of intelligence and autonomy, they must be capable of using many different sources of sensory information in an active and dynamic manner. The observations made by the different sensors of a multi-sensor system are always uncertain, usually partial, occasionally spuri9us or incorrect and often geographically or geometrically imcomparable with other sensor views. The sensors of these systems are characterized by the diversity of information that they can provide and by the complexity of their operation. It is the goal of a multi­ sensor system to combine information from all these different sources into a robust and consistent description of the environment.