| Efficient model learning from joint-action demonstrations for human-robot collaborative tasks S Nikolaidis, R Ramakrishnan, K Gu, J Shah Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015 | 273 | 2015 |
| Improved human–robot team performance through cross-training, an approach inspired by human team training practices S Nikolaidis, P Lasota, R Ramakrishnan, J Shah The International Journal of Robotics Research 34 (14), 1711-1730, 2015 | 103 | 2015 |
| Overcoming blind spots in the real world: Leveraging complementary abilities for joint execution R Ramakrishnan, E Kamar, B Nushi, D Dey, J Shah, E Horvitz Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6137-6145, 2019 | 33 | 2019 |
| Malignant proliferating trichilemmal tumour presenting early in life: An uncommon feature S Rao, R Ramakrishnan, D Kamakshi, S Chakravarthi, S Sundaram, ... Journal of cutaneous and aesthetic surgery 4 (1), 51-55, 2011 | 33 | 2011 |
| Blind spot detection for safe sim-to-real transfer R Ramakrishnan, E Kamar, D Dey, E Horvitz, J Shah Journal of Artificial Intelligence Research 67, 191-234, 2020 | 28 | 2020 |
| Idiopathic granulomatous mastitis—our experience P Manogna, B Dev, LD Joseph, R Ramakrishnan Egyptian Journal of Radiology and Nuclear Medicine 51, 1-8, 2020 | 25 | 2020 |
| Perturbation training for human-robot teams R Ramakrishnan, C Zhang, J Shah Journal of Artificial Intelligence Research 59, 495-541, 2017 | 25 | 2017 |
| From virtual to actual mobility: Assessing the benefits of active locomotion through an immersive virtual environment using a motorized wheelchair A Nybakke, R Ramakrishnan, V Interrante 2012 IEEE Symposium on 3D User Interfaces (3DUI), 27-30, 2012 | 22 | 2012 |
| Discovering blind spots in reinforcement learning R Ramakrishnan, E Kamar, D Dey, J Shah, E Horvitz arXiv preprint arXiv:1805.08966, 2018 | 21 | 2018 |
| Efficient model learning from joint-action demonstrations for human-robot collaborative tasks. In 2015 10th ACM S Nikolaidis, R Ramakrishnan, K Gu, J Shah IEEE International Conference on Human-Robot Interaction (HRI), 189-196, 0 | 14 | |
| Towards interpretable explanations for transfer learning in sequential tasks R Ramakrishnan, J Shah 2016 AAAI Spring Symposium Series, 2016 | 10 | 2016 |
| Atypical leiomyoma of scrotum S Rao, P Fimate, R Ramakrishnan, S Rajendiran Journal of cutaneous and aesthetic surgery 5 (3), 216-217, 2012 | 10 | 2012 |
| Interpretable transfer for reinforcement learning based on object similarities R Ramakrishnan, K Narasimhan, J Shah Proceedings of the IJCAI Interactive Machine Learning Workshop, 2016 | 6 | 2016 |
| Long-term control for dialogue generation: Methods and evaluation R Ramakrishnan, HB Narangodage, M Schilman, KQ Weinberger, ... arXiv preprint arXiv:2205.07352, 2022 | 4 | 2022 |
| A bayesian approach to identifying representational errors R Ramakrishnan, V Unhelkar, E Kamar, J Shah arXiv preprint arXiv:2103.15171, 2021 | 3 | 2021 |
| Efficient Model Learning for Human-Robot Collaborative Tasks. arXiv S Nikolaidis, K Gu, R Ramakrishnan, J Shah May, 2014 | 3 | 2014 |
| Are motorized wheelchairs an effective method of locomotion in virtual environments? A Nybakke, R Ramakrishnan, V Interrante 2012 IEEE Virtual Reality Workshops (VRW), 75-76, 2012 | 3 | 2012 |
| Statistical language models for simulating communication sessions SA Altschul, R Ramakrishnan, HB Narangodage, KQ Weinberger, ... US Patent App. 17/189,081, 2022 | 1 | 2022 |
| Error discovery through human-AI collaboration R Ramakrishnan Massachusetts Institute of Technology, 2019 | 1 | 2019 |
| Multi-Step Dialogue Workflow Action Prediction R Ramakrishnan, E Elenberg, H Narangodage, R McDonald arXiv preprint arXiv:2311.09593, 2023 | | 2023 |
Julie ShahProfessor, Department of Aeronautics and Astronautics, MIT在 csail.mit.edu 的电子邮件经过验证
