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A convex model of humanoid momentum dynamics for multi-contact motion generation.

, , , and . Humanoids, page 842-849. IEEE, (2016)

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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)Open X-Embodiment: Robotic Learning Datasets and RT-X Models., , , , , , , , , and 44 other author(s). CoRR, (2023)Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)., , , , and . CoRR, (2016)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)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)Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl., , , , , and . IEEE BigData, page 1418-1427. IEEE Computer Society, (2017)Detecting and summarizing emergent events in microblogs and social media streams by dynamic centralities., , , , , and . IEEE BigData, page 1627-1634. IEEE Computer Society, (2017)Are Abstracts Enough for Hypothesis Generation?, , , and . IEEE BigData, page 1504-1513. IEEE, (2018)Detecting and Summarizing Emergent Events in Microblogs and Social Media Streams by Dynamic Centralities., , , , , and . CoRR, (2016)Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards., , , , , , , , , and . ICLR, OpenReview.net, (2020)