Institut für Informatik, Universität Freiburg

Termine

Literatur

1. Flakey & Erratic und wie sie sich bewegen
   • C.Congdon, M. Huber, D. Kortenkamp, K. Konolige, K. Myers, E.H. Ruspini, and A. Saffiotti
     Carmel vs. Flakey: A Comparison of two winners
     AI magazine, 14:49-57, Spring 1993
   • K.Konolige
     Erratic competes with the big boys
     AI magazine Summer 1995
   • K.Konolige
     Buchkapitel, 1998
2. Fuzzy-Steuerung
   • C. von Altrock, B. Krause, H.-J. Zimmremann
     Advanced fuzzy logic control of a model car in extreme situations
     Fuzzy Sets and Systems 48 (1992) 41-52, North-Holland
   • A. Saffiotti, E.H. Ruspini, K.Konolige
     A fuzzy controller for flakey, an autonomous mobile robot
     Technical Notes 529, AI Center, SRI International, Menlo Park, CA, USA, April 1993
   • Alessandro Saffioti, Kurt Konolige, and Enrique H. Ruspini
     A multivalued logic approach to integrating planning and control
     Artificial Intelligence, 76(1-2):481-526, July 1995.
3. Sonarkartographierung
   • Hans P. Moravec
     Sensor Fusion in Certainty Grids for Mobile Robots
     AI magazine Summer 1988
   • Alberto Elfes
     Sonar-Based Real-World Mapping and Navigation
     In I.J.Cox and G.T.Wilfong, editors, Autonomous Robot Vehiceles. Springer-Verlag, 1990
4. Laserkartographierung
   • Feng Lu, Evangelos Milios
     Robot Pose Estimation in Unknown Environements by Matching 2D Range Scans
   • Feng Lu, Evangelos Milios
     Globally Consistent Range Scan Alignment for Environment Mapping
5. Selbstlokalisation
   • W. Burgard, D. Fox, J.-S. Gutmann, and K. Konolige
     An Experimental Comparison of Localization Methods.
     Submitted to IROS'98.
   • W. Burgard, D. Fox, D. Henning, and T. Schmidt
     Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids.
     AAAI'96.
     Also available in http://www.cs.uni-bonn.de/~rhino/publications.html
   • J.-S. Gutmann and C. Schlegel:
     AMOS: Comparison of Scan Matching Approaches for Self-Localization in Indoor Environments.
     EUROBOT'96.
     Also available in: http://www.informatik.uni-freiburg.de/~gutmann/
6. Kartierung basierend auf der Maximum-Likelyhood-Methode
   • S. Thrun, W. Burgarg, D. Fox
     A Probalbilistic Approach to Concurrent Mapping and Localization for Mobile Robots
     to appear in Machine Learning and Autonomous Robots
7. Multi-Agent-Systems
   • D.C. MacKenzie, J.M. Cameron, R.C. Arkin
     Specification and Execution of Mutliagent Missions
     GIT-COGSCI-95/02
   • R. Alami, S. Fleury, M. Herrb, F. Ingrand, S. Qutub
     Operating Aa large Fleet of Mobile Robots using the Plan-Marging Paradigm
     LAAS Report 96391, October 1996
   • T. Balch, J.C. Santamaria, G. Boone, T. Collins, H. Forbes, D. MacKenzie
     Lessons Learned in the Implementation of a Multi-robot Trash-collecting Team
     In Henry Hexmoor and David Kortenkamp, editors, Lessons Learned from Implemented Software Architectures for Physical Agents. AAAI,AAAI Press, March 1995
   • T. Balch, G. Boone, T. Collins, H. Forbes, D. MacKenzie, J.C. Santamaria
     Io, gantmede, and callisto; A multiagent robot trash-collecting team
     AI magazine, Summer 1995
8. Was ist RoboCup? - Die Teams ISI und CMUnited
   • H. Kitano, M. Asada, Y. Kuniyoshi, I. Noda, E. Osawa
     RoboCup: The Robot World Cup Initiative
   • W.-M. Shen, J. Adibi, R. Adobbati, A. Erdem, H. Moradi, B. Salemi, S. Tejada
     Autonomous Soccer Robots
   • M. Veloso, P. Stone, K. Han
     The CMUnited-97 Robotic Soccer Team: Perception and Multiagent Control
9. Lernen im RoboCup-Kontext
   • P. Stone, M. Veloso
     Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function
   • P. Stone, M. Veloso
     Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer
10. Vision und Reinforcement Learning
    • E. Uchibe, M. Asada, K. Hosoda
      Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments
    • Michael L. Littman
      Markov games as a framework for multi-agent reinforcement learning.
      In Proceedings of the Eleventh International Conference on Machine Learning, pages 157--163, San Francisco, CA, 1994. Morgan Kaufmann.
    • Leslie Pack Kaelbling, Michael L. Littman, and Andrew W. Moore.
      Reinforcement learning: A survey.
      Journal of Artificial Intelligence Research, 4:237-285, 1996