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Research Output

  • 1 Article in proceedings
  • 1 Journal article

CPG Driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-Like Robot

Pitchai, M., Xiong, X., Thor, M., Billeschou, P., Mailänder, P. L., Leung, B., Kulvicius, T. & Manoonpong, P., 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Kurková, V., Karpov, P. & Theis, F. (eds.). Springer, Vol. Part 1. p. 698-710 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11727 LNCS).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • High-Bandwidth Active Impedance Control of the Proprioceptive Actuator Design in Dynamic Compliant Robotics

    Lund, S. H. J., Billeschou, P. & Larsen, L. B., 17. Oct 2019, In : Actuators. 8, 4, 33 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
  • 121 Downloads (Pure)

    Teaching & Supervision


    Trine Straarup Winther & Peter Billeschou


    Course: Teaching