Course Behavior-Based Robotics

Bachelor PsychoBiology

This is the information of Winter 2015-2016

Contents

This course gives an introduction to the principles, design and practice of intelligent behavior-based autonomous robot systems. Following a discussion of the relevant biological and psychological models of behavior, reactive behaviors are used as building blocks for more complex behaviors. With the more advanced behaviors the robot gets animal-like capacities as survival, adaption and interaction. Building such artificial system in practice could lead to interesting questions about the unique aspects of actual biological behavior.

Learning objectives

  • To develop an understanding of the possible relationships between animal behavior and robot control.
  • To examine a wide range of biologically motivated robotic systems.
  • To obtain a basic understanding of the design choices related to behavior-based robotic systems.
  • To determine the appropriate role of world and self-knowledge within behavior-based robotic systems.
  • To study biological models of hybrid reactive/deliberative systems.
  • To explore the role of expectations, focus of attention and active perception within behavior-based perception.
  • To understand why robots need to have learning capabilities.
  • To recognize the different effects of perception and learning inside social behavior when compared to solitary robot behaviors.
  • To consider the consequences of a robotic mind with regard to thought, consciousness, emotion and imagination.

Practical skills

In addition to the theoretical framework, you will also develop your programming skills by implementing behaviors directly on humanoid robots. A short summary of these objectives can be found back in this Study Guide.

Schedule

Literature


Ronald C. Arkin 'Behavior-Based Robotics', The MIT Press, 1998.

Additional Reading

Reading guide

  • Sunday November 29th: page 173
  • Sunday December 6th: page 299
  • Sunday December 13th: page 443
  • Thursday December 17th: page 891-909 of 'Behavior-Based Systems'

Exam

Evaluation

The course is this year evaluated by the participants with a 7.2:
.

Links


Last updated November 20, 2015

o This web-page and the list of participants to this course is maintained by Arnoud Visser (a.visser@uva.nl)
Faculty of Science
University of Amsterdam

a.visser@uva.nl