Learning in a high dimensional space: Fast omnidirectional quadrupedal locomotion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4434 LNAI, Issue , 2007, Pages 314-321

  Hebbel, Matthias ^a   Nistico, Walter ^a   Fisseler, Denis ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); MOTION ESTIMATION; OPTIMIZATION; ROBOTICS;

HUMAN INTERVENTION; OMNIDIRECTIONAL MOVEMENTS;

LEARNING SYSTEMS;

EID: 38148999371     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74024-7_28     Document Type: Conference Paper

References (11)

1. Hengst, B., Ibbotson, D., Pham, S.B., Sammut, C.: Omnidirectional locomotion for quadruped robots. In: Birk, A., Coradeschi, S., Tadokoro, S. (eds.) RoboCup 2001. LNCS (LNAI), vol. 2377, pp. 368-373. Springer, Heidelberg (2002)
2. Düffert, U., Hoffmann, J.: Reliable and precise gait modeling for a quadruped robot. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds.) RoboCup 2005. LNCS (LNAI), vol. 4020, Springer, Heidelberg (2006)
3. Kohl, N., Stone, P.: Policy gradient reinforcement learning for fast quadrupedal locomotion. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), IEEE Computer Society Press, Los Alamitos (2004)
4. Röfer, T., Laue, T., Burkhard, H., Hoffmann, J., Jüngel, M., Göhring, D., Lötzsch, M., Spranger, M., Altmeyer, B., Goetzke, V., von Stryk, O., Brunn, R., Dassler, M., Kunz, M., Risler, M., Stelzer, M., Thomas, D., Uhrig, S., Schwiegelshohn, U., Dahm, I., Hebbel, M., Nistico, W., Schumann, C., Wachter, M.: German Team Report 2004. Technical report, HU Berlin, TU Bremen, TU Darmstadt and University of Dortmund (2004)
5. Stone, P., Dresner, K., Fidelman, P., Jong, N.K., Kohl, N., Kuhlmann, G., Sridharan, M., Stronger, D.: The UT Austin Villa 2004 RoboCup four-legged team: Coming of age. Technical Report UT-AI-TR-04-313, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory (2004)
6. Cohen, D., Ooi, Y.H., Vernaza, P., Lee, D.D.: Robocup 2004 Legged Soccer Team. Technical report, University of Pennsylvania (2004)
7. Kohl, N., Stone, P.: Machine learning for fast quadrupedal locomotion. In: The Nineteenth National Conference on Artificial Intelligence, pp. 611-616 (2004)
8. Röfer, T.: Evolutionary gait-optimization using a fitness function based on proprioception. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS (LNAI), vol. 3276, Springer, Heidelberg (2005)
9. Craig, J.J.: Introduction to Robotics, Mechanics and Control. ch. 6, 7 Addison Wesley, Reading (1986)
10. Dahm, I., Fisseler, D., Hebbel, M., Nistico, W.: Learning fast walking patterns with reliable odometry information for four-legged robots. In: ISMCR'05 (2005)
11. Beyer, H.G., Schwefel, H.P.: Evolution strategies - A comprehensive introduction. Natural Computing 1(1), 3-52 (2002)