| Language-conditioned imitation learning for robot manipulation tasks S Stepputtis, J Campbell, M Phielipp, S Lee, C Baral, H Ben Amor Advances in Neural Information Processing Systems 33, 13139-13150, 2020 | 97 | 2020 |
| A system for learning continuous human-robot interactions from human-human demonstrations D Vogt, S Stepputtis, S Grehl, B Jung, HB Amor 2017 IEEE International Conference on Robotics and Automation (ICRA), 2882-2889, 2017 | 73 | 2017 |
| One-shot learning of human–robot handovers with triadic interaction meshes D Vogt, S Stepputtis, B Jung, HB Amor Autonomous Robots 42, 1053-1065, 2018 | 29 | 2018 |
| Probabilistic multimodal modeling for human-robot interaction tasks J Campbell, S Stepputtis, HB Amor arXiv preprint arXiv:1908.04955, 2019 | 24 | 2019 |
| Learning interactive behaviors for musculoskeletal robots using bayesian interaction primitives J Campbell, A Hitzmann, S Stepputtis, S Ikemoto, K Hosoda, HB Amor 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 16 | 2019 |
| Improved exploration through latent trajectory optimization in deep deterministic policy gradient KS Luck, M Vecerik, S Stepputtis, HB Amor, J Scholz 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 10 | 2019 |
| A system for imitation learning of contact-rich bimanual manipulation policies S Stepputtis, M Bandari, S Schaal, HB Amor 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
| Learning human-robot interactions from human-human demonstrations (with applications in lego rocket assembly) D Vogt, S Stepputtis, R Weinhold, B Jung, HB Amor 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 9 | 2016 |
| Extrinsic dexterity through active slip control using deep predictive models S Stepputtis, Y Yang, HB Amor 2018 IEEE International Conference on Robotics and Automation (ICRA), 3180-3185, 2018 | 8 | 2018 |
| Imitation learning of robot policies by combining language, vision and demonstration S Stepputtis, J Campbell, M Phielipp, C Baral, HB Amor arXiv preprint arXiv:1911.11744, 2019 | 6 | 2019 |
| Explainable action advising for multi-agent reinforcement learning Y Guo, J Campbell, S Stepputtis, R Li, D Hughes, F Fang, K Sycara 2023 IEEE International Conference on Robotics and Automation (ICRA), 5515-5521, 2023 | 5 | 2023 |
| Concept learning for interpretable multi-agent reinforcement learning R Zabounidis, J Campbell, S Stepputtis, D Hughes, KP Sycara Conference on Robot Learning, 1828-1837, 2023 | 5 | 2023 |
| Introspective Action Advising for Interpretable Transfer Learning J Campbell, Y Guo, F Xie, S Stepputtis, K Sycara arXiv preprint arXiv:2306.12314, 2023 | 2 | 2023 |
| Sample-Efficient Learning of Novel Visual Concepts S Bhagat*, S Stepputtis*, J Campbell, K Sycara Conference on Lifelong Learning Agents (CoLLAs), 2023 | 2 | 2023 |
| Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation Y Zhou, S Sonawani, M Phielipp, S Stepputtis, HB Amor arXiv preprint arXiv:2212.04573, 2022 | 2 | 2022 |
| Learning modular language-conditioned robot policies through attention Y Zhou, S Sonawani, M Phielipp, H Ben Amor, S Stepputtis Autonomous Robots, 1-21, 2023 | 1 | 2023 |
| Active slip control for in-hand object manipulation using deep predictive models S Stepputtis, HB Amor Workshop on Tactile Sensing for Manipulation: Hardware, Modeling, and …, 2017 | 1 | 2017 |
| Deep predictive models for active slip control S Stepputtis, HB Amor Workshop on (Empirically) Data-Driven Robotic Manipulation (RSS), 2017 | 1 | 2017 |
| Explaining Agent Behavior with Large Language Models X Zhang, Y Guo, S Stepputtis, K Sycara, J Campbell arXiv preprint arXiv:2309.10346, 2023 | | 2023 |
| Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos S Bhagat, S Stepputtis, J Campbell, K Sycara arXiv preprint arXiv:2309.05943, 2023 | | 2023 |
Heni Ben AmorAssociate Professor, Arizona State UniversityBestätigte E-Mail-Adresse bei asu.edu
