Visual Perception and Robotic Manipulation : 3D Object Recognition, Tracking and Hand-Eye Coordination /
By: Taylor, Geoffrey [author.].
Contributor(s): Kleeman, Lindsay [author.] | SpringerLink (Online service).
Material type:
BookSeries: Springer Tracts in Advanced Robotics: 26Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: XXV, 218 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540334552.Subject(s): Engineering | Artificial intelligence | Computer graphics | System theory | Control engineering | Robotics | Mechatronics | Automation | Cognitive psychology | Engineering | Robotics and Automation | Control, Robotics, Mechatronics | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence (incl. Robotics) | Systems Theory, Control | Cognitive PsychologyDDC classification: 629.892 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK9069 |
Foundations of Visual Perception and Control -- Shape Recovery Using Robust Light Stripe Scanning -- 3D Object Modelling and Classification -- Multi-cue 3D Model-Based Object Tracking -- Hybrid Position-Based Visual Servoing -- System Integration and Experimental Results -- Summary and Future Work.
As autonomous robots expand into the service domain, new solutions to the challenge of operating in domestic environments must be developed. Widespread adoption of service robots demands high robustness to environmental change and operational wear, and minimal reliance on application specific knowledge. As such, rich sensing modalities such as vision will play a central role in their success. This book takes steps towards the realization of domestic robots by presenting an integrated systems view of computer vision and robotics, covering fundamental topics including optimal sensor design, visual servoing, 3D object modelling and recognition, and multi-cue tracking, with a solid emphasis on robustness throughout. With in-depth treatment of both theory and implementation, extensive experimental results and comprehensive multimedia support including video clips, VRML data, C++ code and lecture slides, this book has wide appeal to both theoretical and practical roboticists and stands as a valuable teaching resource.
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