Introduction to Autonomous Manipulation - Case Study with an Underwater Robot, SAUVIM

Autonomous manipulation is a challenge in robotic technologies. It refers to the capability of a mobile robot system with one or more manipulators that performs intervention tasks requiring physical contacts in unstructured environments and without continuous human supervision. Achieving autonomous manipulation capability is a quantum leap in robotic technologies as it is currently beyond the state of the art in robotics. This book addresses issues with the complexity of the problems encountered in autonomous manipulation including representation and modeling of robotic structures, kinematic and dynamic robotic control, kinematic and algorithmic singularity avoidance, dynamic task priority, workspace optimization and environment perception. Further development in autonomous manipulation should be able to provide robust improvements of the solutions for all of the above issues. The book provides an extensive tract on sensory-based autonomous manipulation for intervention tasks in unstructured environments. After presenting the theoretical foundations for kinematic and dynamic modelling as well as task-priority based kinematic control of multi-body systems, the work is focused on one of the most advanced underwater vehicle-manipulator system, SAUVIM (Semi-Autonomous Underwater Vehicle for Intervention Missions). Solutions to the problem of target identification and localization are proposed, a number of significant case studies are discussed and practical examples and experimental/simulation results are presented. The book may inspire the robot research community to further investigate critical issues in autonomous manipulation and to develop robot systems that can profoundly impact our society for the better.

[1]  Maria Chiara Carrozza,et al.  Biomechatronic Design and Control of an Anthropomorphic Artificial Hand for Prosthetic and Robotic Applications , 2007 .

[2]  Aaron M. Dollar,et al.  Lower Extremity Exoskeletons and Active Orthoses: Challenges and State-of-the-Art , 2008, IEEE Transactions on Robotics.

[3]  Ferris Jabr.  Mind-controlled prosthetics to help amputees , 2011 .

[4]  Jerry E. Pratt,et al.  The RoboKnee: an exoskeleton for enhancing strength and endurance during walking , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[5]  Yijian Zhang,et al.  A Review of exoskeleton-type systems and their key technologies , 2008 .

[6]  Hugh Herr,et al.  Exoskeletons and orthoses: classification, design challenges and future directions , 2009, Journal of NeuroEngineering and Rehabilitation.

[7]  Homayoon Kazerooni,et al.  Exoskeletons for Human Performance Augmentation , 2008, Springer Handbook of Robotics.

[8]  Hugh Herr,et al.  User-adaptive control of a magnetorheological prosthetic knee , 2003, Ind. Robot.

[9]  Michael Goldfarb,et al.  Design and Control of a Powered Transfemoral Prosthesis , 2008, Int. J. Robotics Res..

[10]  Sheng Quan Xie,et al.  Exoskeleton robots for upper-limb rehabilitation: state of the art and future prospects. , 2012, Medical engineering & physics.

[11]  Massimo Bergamasco,et al.  An arm exoskeleton system for teleoperation and virtual environments applications , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[12]  Helen Thomson.  Get your move on , 2013 .

[13]  Hugh M Herr,et al.  Horizons in Prosthesis Development for the Restoration of Limb Function , 2006, The Journal of the American Academy of Orthopaedic Surgeons.

[14]  Lihua Huang,et al.  On the Control of the Berkeley Lower Extremity Exoskeleton (BLEEX) , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[15]  Robert Bogue,et al.  Exoskeletons and robotic prosthetics: a review of recent developments , 2009, Ind. Robot.

[16]  Colin Barras,et al.  Man controls new prosthetic leg using thought alone , 2013 .

[17]  Yoky Matsuoka,et al.  Prosthetics, exoskeletons, and rehabilitation [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.