Course contents

• Preliminary concepts on robotic systems
• Main methods and approaches for programming robotic systems
  • Deliberative control
  • The Subsumption Architecture 
  • Behavior-Based Robotics    
  • Artificial Evolution and Artificial Life    
• Automatic design of robot programs
• Robot learning
• Swarm robotics

Readings/Bibliography

• Slides available at AMS Campus
• Course textbook: R. Pfeifer and C. Scheier, "Understanding intelligence", The MIT Press, 1999.

Additional readings

• R.A. Brooks, A robust layered control system for a mobile robot, IEEE Journal of Robotics and Automation, Vol. RA-2, No.1, 1986.
• R.A. Brooks, Intelligence without representation, Artificial intelligence 47 (1991), pp. 139-159.
• B. Kosko and S. Isaka, Fuzzy logic, Scientific American, July 1993.
• J. Bongard, Evolutionary robotics, Communications of the ACM, Vol. 56, No. 8, 2013.
• Frontiers in Robotics and AI
• Brambilla, Ferrante, Birattari, Dorigo, Swarm robotics: a review from the swarm engineering perspective, Swarm intelligence, vol. 7, 2013.
• Tutorial on Q-learning.
• Francesca, Brambilla et al., AutoMoDe-Chocolate: automatic design of control software for robot swarms, to appear in Swarm intelligence.
• Elman, Finding structure in time, Cognitive Science (1990), Volume 14, Issue 2, pp. 179–211.
  1.1 Robotic simulator
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  In this course we use the robotic simulator ARGoS, developed at [IRIDIA|http://iridia.ulb.ac.be]. The latest release of ARGoS is argos3, which can be downloaded and installed by following the instruction provided in the (provisional) link in [07-robotic_simulation.pdf|http://campus.unibo.it/121577/].

Lab activities

Go to lab webpage.

AI*IA - Italian association for artificial intelligence

The Italian association for artificial intelligence is a non profit association promoting AI research. Website: www.aixia.it For further information, students can also contact Andrea Roli.