Sistemi intelligenti robotici 2016/2017

Main

Readings

Lab

• 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.
• An introduction to complex systems science (lecture notes by A. Roli)
• Papers on complex systems science.
• Papers on complex networks.
• J. Bongard, Evolutionary robotics, Communications of the ACM, Vol. 56, No. 8, 2013.
• A.E. Eiben, Grand challenges for evolutionary robotics, Front. Robot. AI, 30 June 2014.
• S. Doncieux et al., Evolutionary robotics: what, why, and where to, Front. Robot. AI, 03 March 2015.
• 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.
• LeCun et al., Deep learning (Review), Nature, Volume 521, 28 May 2015, pp. 436-444.

Miscellanea

• AI applets developed at the Laboratory for Computational Intelligence at the University of British Columbia
• Frontiers in Robotics and AI
• Frontiers in Robotics and AI: Evolutionary robotics
  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/].