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Behavior analysis and training-a methodology for behavior engineering.

M Colombetti1, M Dorigo, G Borghi

  • 1Dipartimento di Elettronica e Inf., Politecnico di Milano.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|January 1, 1996
PubMed
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Behavior Engineering offers new methods for creating autonomous robots. The Behavior Analysis and Training (BAT) methodology, emphasizing learning, proves feasible for developing mobile robots and manipulators.

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Developing autonomous robots is a complex engineering challenge requiring structured methodologies.
  • Existing fields like Software Engineering and Knowledge Engineering provide models for complex system development.

Purpose of the Study:

  • To introduce Behavior Engineering as a new technological area for autonomous robot development.
  • To present and validate the Behavior Analysis and Training (BAT) methodology, highlighting the role of learning and training.

Main Methods:

  • Detailed presentation of the Behavior Analysis and Training (BAT) methodology.
  • Application and testing of the BAT methodology on two mobile robots and one manipulator.

Main Results:

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  • Demonstrated the feasibility of the Behavior Engineering approach through practical application.
  • Validated the effectiveness of the BAT methodology in developing diverse robotic systems.

Conclusions:

  • Behavior Engineering provides a structured framework for autonomous robot development.
  • The BAT methodology, incorporating learning and training, is a viable approach for creating complex robotic behaviors.