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Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics.

, , , , and . IROS, page 981-988. IEEE, (2014)

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Fast, robust quadruped locomotion over challenging terrain., , , , and . ICRA, page 2665-2670. IEEE, (2010)Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection, , , and . (2016)cite arxiv:1603.02199Comment: This is an extended version of "Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection," ISER 2016. Draft modified to correct typo in Algorithm 1 and add a link to the publicly available dataset.End-to-End Learning of Semantic Grasping., , , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 119-132. PMLR, (2017)Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation., , , , , , , , , and 1 other author(s). CoRL, volume 87 of Proceedings of Machine Learning Research, page 651-673. PMLR, (2018)Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping., , , and . ICRA, page 4804-4810. IEEE, (2019)Do As I Can, Not As I Say: Grounding Language in Robotic Affordances., , , , , , , , , and 35 other author(s). CoRL, volume 205 of Proceedings of Machine Learning Research, page 287-318. PMLR, (2022)Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection., , , and . ISER, volume 1 of Springer Proceedings in Advanced Robotics, page 173-184. Springer, (2016)Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping., , , , and . Robotics: Science and Systems, (2020)Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators., , , , , , , , , and 30 other author(s). Robotics: Science and Systems, (2023)Learning motion primitive goals for robust manipulation., , , , , and . IROS, page 325-331. IEEE, (2011)