| 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 | 103 | 2023 |
| Directed-info gail: Learning hierarchical policies from unsegmented demonstrations using directed information A Sharma, M Sharma, N Rhinehart, KM Kitani arXiv preprint arXiv:1810.01266, 2018 | 73 | 2018 |
| A modular robotic arm control stack for research: Franka-interface and frankapy K Zhang, M Sharma, J Liang, O Kroemer arXiv preprint arXiv:2011.02398, 2020 | 40 | 2020 |
| Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking H Bharadhwaj, J Vakil, M Sharma, A Gupta, S Tulsiani, V Kumar arXiv preprint arXiv:2309.01918, 2023 | 32 | 2023 |
| Search-based task planning with learned skill effect models for lifelong robotic manipulation J Liang, M Sharma, A LaGrassa, S Vats, S Saxena, O Kroemer 2022 International Conference on Robotics and Automation (ICRA), 6351-6357, 2022 | 32 | 2022 |
| Leveraging multimodal haptic sensory data for robust cutting K Zhang, M Sharma, M Veloso, O Kroemer 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019 | 31 | 2019 |
| Learning to compose hierarchical object-centric controllers for robotic manipulation M Sharma, J Liang, J Zhao, A LaGrassa, O Kroemer arXiv preprint arXiv:2011.04627, 2020 | 23 | 2020 |
| Lossless adaptation of pretrained vision models for robotic manipulation M Sharma, C Fantacci, Y Zhou, S Koppula, N Heess, J Scholz, Y Aytar arXiv preprint arXiv:2304.06600, 2023 | 21 | 2023 |
| Recognizing visual signatures of spontaneous head gestures M Sharma, D Ahmetovic, LA Jeni, KM Kitani 2018 IEEE Winter conference on applications of computer vision (WACV), 400-408, 2018 | 19 | 2018 |
| Relational learning for skill preconditions M Sharma, O Kroemer arXiv preprint arXiv:2012.01693, 2020 | 17 | 2020 |
| Openeqa: Embodied question answering in the era of foundation models A Majumdar, A Ajay, X Zhang, P Putta, S Yenamandra, M Henaff, S Silwal, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Learning semantic embedding spaces for slicing vegetables M Sharma, K Zhang, O Kroemer arXiv preprint arXiv:1904.00303, 2019 | 12 | 2019 |
| Generalizing object-centric task-axes controllers using keypoints M Sharma, O Kroemer 2021 IEEE International Conference on Robotics and Automation (ICRA), 7548-7554, 2021 | 6 | 2021 |
| Ensemble learning for detection of diabetic retinopathy DT Butterworth, S Mukherjee, M Sharma NIPS, 2016 | 6 | 2016 |
| Inverse reinforcement learning with conditional choice probabilities M Sharma, KM Kitani, J Groeger arXiv preprint arXiv:1709.07597, 2017 | 4 | 2017 |
| Multi-resolution sensing for real-time control with vision-language models S Saxena, M Sharma, O Kroemer 2nd Workshop on Language and Robot Learning: Language as Grounding, 2023 | 3 | 2023 |
| Inverse reinforcement learning with explicit policy estimates N Sanghvi, S Usami, M Sharma, J Groeger, K Kitani Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9472-9480, 2021 | 3 | 2021 |
| Efficiently Learning Manipulations by Selecting Structured Skill Representations M Sharma, O Kroemer 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | | 2022 |
| Representation Reuse for Learning Robust RobotManipulations M Sharma Carnegie Mellon University, 0 | | |
| Learning Hierarchical Policies from Unsegmented Demonstrations using Causal Information A Sharma, M Sharma, N Rhinehart, KM Kitani | | |
Oliver KroemerCarnegie Mellon University - The Robotics Institute在 andrew.cmu.edu 的电子邮件经过验证
