End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

Autor: Soni, Raghav, Harnack, Daniel, Isermann, Hannah, Fushimi, Sotaro, Kumar, Shivesh, Kirchner, Frank

Publikováno v: End-to-End Reinforcement Learning for Torque Based Variable Height Hopping, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 7531-7538

Legged locomotion is arguably the most suited and versatile mode to deal with natural or unstructured terrains. Intensive research into dynamic walking and running controllers has recently yielded great advances, both in the optimal control and reinf

Externí odkaz: http://arxiv.org/abs/2307.16676

Development and Evaluation of a Novel Method for Reinforcing Additively Manufactured Polymer Structures with Continuous Fiber Composites.

Autor: Meißner, Sven, Kafka, Jiri, Isermann, Hannah, Labisch, Susanna, Kesel, Antonia, Eberhardt, Oliver, Kuolt, Harald, Scholz, Sebastian, Kalisch, Daniel, Müller, Sascha, Spickenheuer, Axel, Kroll, Lothar

Publikováno v: Journal of Composites Science; Jul2024, Vol. 8 Issue 7, p272, 27p