| Interaction primitives for human-robot cooperation tasks HB Amor, G Neumann, S Kamthe, O Kroemer, J Peters 2014 IEEE international conference on robotics and automation (ICRA), 2831-2837, 2014 | 259 | 2014 |
| Probabilistic movement modeling for intention inference in human–robot interaction Z Wang, K Mülling, MP Deisenroth, H Ben Amor, D Vogt, B Schölkopf, ... The International Journal of Robotics Research 32 (7), 841-858, 2013 | 197 | 2013 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 194 | 2023 |
| 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 | 166 | 2020 |
| Physical human-robot interaction: Mutual learning and adaptation S Ikemoto, HB Amor, T Minato, B Jung, H Ishiguro IEEE robotics & automation magazine 19 (4), 24-35, 2012 | 158 | 2012 |
| Projecting robot intentions into human environments RS Andersen, O Madsen, TB Moeslund, HB Amor 2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016 | 143 | 2016 |
| A human–robot interaction perspective on assistive and rehabilitation robotics P Beckerle, G Salvietti, R Unal, D Prattichizzo, S Rossi, C Castellini, ... Frontiers in neurorobotics 11, 24, 2017 | 139 | 2017 |
| Learning multiple collaborative tasks with a mixture of interaction primitives M Ewerton, G Neumann, R Lioutikov, HB Amor, J Peters, G Maeda 2015 IEEE International Conference on Robotics and Automation (ICRA), 1535-1542, 2015 | 135 | 2015 |
| Estimation of perturbations in robotic behavior using dynamic mode decomposition E Berger, M Sastuba, D Vogt, B Jung, H Ben Amor Advanced Robotics 29 (5), 331-343, 2015 | 123 | 2015 |
| Generalization of human grasping for multi-fingered robot hands HB Amor, O Kroemer, U Hillenbrand, G Neumann, J Peters 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 121 | 2012 |
| Intelligent exploration for genetic algorithms: Using self-organizing maps in evolutionary computation HB Amor, A Rettinger Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 117 | 2005 |
| Learning interaction for collaborative tasks with probabilistic movement primitives G Maeda, M Ewerton, R Lioutikov, HB Amor, J Peters, G Neumann 2014 IEEE-RAS International Conference on Humanoid Robots, 527-534, 2014 | 116 | 2014 |
| 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 | 93 | 2017 |
| Virtual, augmented, and mixed reality for human-robot interaction T Williams, D Szafir, T Chakraborti, H Ben Amor Companion of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018 | 91 | 2018 |
| Deep predictive models for collision risk assessment in autonomous driving M Strickland, G Fainekos, HB Amor 2018 IEEE International Conference on Robotics and Automation (ICRA), 4685-4692, 2018 | 83 | 2018 |
| Grasp recognition with uncalibrated data gloves-a comparison of classification methods G Heumer, HB Amor, M Weber, B Jung 2007 IEEE virtual reality conference, 19-26, 2007 | 78 | 2007 |
| Data-efficient co-adaptation of morphology and behaviour with deep reinforcement learning KS Luck, HB Amor, R Calandra Conference on Robot Learning, 854-869, 2020 | 71 | 2020 |
| Better teaming through visual cues: how projecting imagery in a workspace can improve human-robot collaboration RK Ganesan, YK Rathore, HM Ross, HB Amor IEEE Robotics & Automation Magazine 25 (2), 59-71, 2018 | 66 | 2018 |
| Encoding and monitoring responsibility sensitive safety rules for automated vehicles in signal temporal logic M Hekmatnejad, S Yaghoubi, A Dokhanchi, HB Amor, A Shrivastava, ... Proceedings of the 17th ACM-IEEE International Conference on Formal Methods …, 2019 | 65 | 2019 |
| Probabilistic modeling of human movements for intention inference Z Wang, MP Deisenroth, HB Amor, D Vogt, B Schölkopf, J Peters | 60 | 2013 |
David VogtDr.-Ing., Robert Bosch GmbHBestätigte E-Mail-Adresse bei david-vogt.com
