Making Robots Smarter

1. Front Matter

   Pages i-xiv

   PDF

2. Learning in Execution and Control

   1. Front Matter

      Pages 1-1

      PDF

   2. Introduction to Skill Learning

      • M. Kaiser, R. Dillmann

      Pages 3-16

   3. Learning Function Approximators

      • C. Baroglio, A. Giordana, R. Piola

      Pages 17-44

   4. Learning Sensor Assisted Assembly Operations

      • M. Nuttin, H. Van Brussel

      Pages 45-52

   5. Learning and Re-Calibration in Flexible Assembly

      • M. Nuttin, H. Van Brussel

      Pages 53-64

   6. Contact Estimation for Compliant Motion Control

      • R. Suárez, L. Basañez, J. Rosell

      Pages 65-84

   7. Learning Sensor-Based Navigation

      • J. del R. Millán, C. Torras

      Pages 85-107

   8. Learning to Control a Visual Sensing System

      • M. Accame

      Pages 109-125

3. Learning for Human-Robot Interaction

   1. Front Matter

      Pages 127-127

      PDF

   2. Learning In Human-Robot Communication

      • M. Kaiser, H. Friedrich, V. Klingspor, K. Morik

      Pages 129-136

   3. Learning To Classify

      • T. Rauber, M. Barata

      Pages 137-160

   4. Learning a Taxonomy of Failures in Assembly

      • L. Seabra Lopes, L. Camarinha-Matos

      Pages 161-184

   5. Incremental Signal to Symbol Processing

      • K. Morik, S. Wessel

      Pages 185-198

   6. Learning Understandable Concepts for Robot Navigation

      • V. Klingspor, K. Morik

      Pages 199-224

   7. Program Optimization for Real-Time Performance

      • A. Rieger, V. Klingspor

      Pages 225-240

4. Back Matter

   Pages 241-271

   PDF

Making Robots Smarter is a book about learning robots. It treats this topic based on the idea that the integration of sensing and action is the central issue. In the first part of the book, aspects of learning in execution and control are discussed. Methods for the automatic synthesis of controllers, for active sensing, for learning to enhance assembly, and for learning sensor-based navigation are presented. Since robots are not isolated but should serve us, the second part of the book discusses learning for human-robot interaction. Methods of learning understandable concepts for assembly, monitoring, and navigation are described as well as optimizing the implementation of such understandable concepts for a robot's real-time performance.
In terms of the study of embodied intelligence, Making Robots Smarter asks how skills are acquired and where capabilities of execution and control come from. Can they be learned from examples or experience? What is the role of communication in the learning procedure? Whether we name it one way or the other, the methodological challenge is that of integrating learning capabilities into robots.

• Navigation
• communication
• intelligence
• learning
• optimization
• robot
• sensing

• Universität Dortmund, Dortmund, Germany

  Katharina Morik

• ABB Turbosystems AG, Baden, Switzerland

  Michael Kaiser

• SerCon — IBM Deutschland GmbH, Dortmund, Germany

  Volker Klingspor

Policies and ethics