Handling Uncertainty and Networked Structure in Robot Control
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Handling Uncertainty and Networked Structure in Robot Control

Handling Uncertainty and Networked Structure in Robot Control


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About the Book

Part I Learning Control in Unknown Environments.- Robot Learning for Persistent Autonomy.- The Explore-Exploit Dilemma in Nonstationary Decision Making under Uncertainty.- Learning Complex Behaviors via Sequential Composition and Passivity-based Control.- Visuospatial Skill Learning.- Part II Dealing with Sensing Uncertainty.- Observer Design for Robot Manipulators via Takagi-Sugeno Models and Linear Matrix Inequalities.- Homography Estimation between Omnidirectional Cameras without Point Correspondences.- Dynamic environment perception and 4D reconstruction using a mobile Rotating Multi-beam Lidar sensor.- ROBOSHERLOCK: Unstructured Information Processing for Robot Perception.- Active SLAM: Problem Overview and an Application to Navigation Under Uncertainty.- Interactive Segmentation of Textured and Textureless Objects.- Part III Control of Networked and Interconnected Robots.- Vision-based quadcopter navigation in structured environments.- Bilateral Teleoperation the Presence of Jitter: Communication Performance Evaluation and Control.- Implementation of consensus algorithms under harsh communication constraints.- Hybrid Consensus-based Formation Control of Nonholonomic Mobile Robots.- A Multi Agent System for Precision Agriculture.
About the Author:

Lucian Busoniu received the M.Sc. degree (valedictorian) from the Technical University of Cluj-Napoca, Romania, in 2003 and the Ph.D. degree (cum laude) from the Delft University of Technology, the Netherlands, in 2009. He has held research positions in the Netherlands and France, and is currently an associate professor with the Department of Automation at the Technical University of Cluj-Napoca. His fundamental interests include planning-based methods for nonlinear optimal control, reinforcement learning and dynamic programming with function approximation, and multiagent systems; while his practical focus is applying these techniques to robotics. He has coauthored a book and more than 50 papers and book chapters on these topics. He was the recipient of the 2009 Andrew P. Sage Award for the best paper in the IEEE Transactions on Systems, Man, and Cybernetics.

Levente Tamas received the M.Sc. (valedictorian) and the Ph.D. degree in electrical engineering from Technical University of Cluj-Napoca, Romania, in 2005 and 2010, respectively. He took part in several postdoctoral programs dealing with 3D perception and robotics, the most recent one spent at the Bern University of Applied Sciences, Switzerland. He is currently with the Department of Automation, Technical University of Cluj-Napoca, Romania. His research focuses on 3D perception and planning for autonomous mobile robots, and has resulted in several well ranked conference papers, journal articles, and book chapters in this field.


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Product Details
  • ISBN-13: 9783319263250
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2015
  • Language: English
  • Returnable: Y
  • Spine Width: 24 mm
  • Width: 156 mm
  • ISBN-10: 3319263250
  • Publisher Date: 16 Feb 2016
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 388
  • Series Title: Studies in Systems, Decision and Control
  • Weight: 807 gr


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