Introduction

  • Judy A. Franklin
  • Tom M. Mitchell
  • Sebastian Thrun
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 368)

Abstract

This special issue contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration or concept formation.

Keywords

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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • Judy A. Franklin
    • 1
  • Tom M. Mitchell
    • 2
  • Sebastian Thrun
    • 3
  1. 1.GTE LaboratoriesChina
  2. 2.Carnegie Mellon UniversityUSA
  3. 3.Carnegie Mellon UniversityUSA

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