| Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Advances in neural information processing systems 34, 251-266, 2021 | 495 | 2021 |
| Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai SK Ramakrishnan, A Gokaslan, E Wijmans, O Maksymets, A Clegg, ... arXiv preprint arXiv:2109.08238, 2021 | 327 | 2021 |
| Sim2real predictivity: Does evaluation in simulation predict real-world performance? A Kadian, J Truong, A Gokaslan, A Clegg, E Wijmans, S Lee, M Savva, ... IEEE Robotics and Automation Letters 5 (4), 6670-6677, 2020 | 217 | 2020 |
| isdf: Real-time neural signed distance fields for robot perception J Ortiz, A Clegg, J Dong, E Sucar, D Novotny, M Zollhoefer, M Mukadam arXiv preprint arXiv:2204.02296, 2022 | 139 | 2022 |
| Learning to dress: Synthesizing human dressing motion via deep reinforcement learning A Clegg, W Yu, J Tan, CK Liu, G Turk ACM Transactions on Graphics (TOG) 37 (6), 1-10, 2018 | 110 | 2018 |
| Habitat-matterport 3d semantics dataset K Yadav, R Ramrakhya, SK Ramakrishnan, T Gervet, J Turner, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 78 | 2023 |
| Soundspaces 2.0: A simulation platform for visual-acoustic learning C Chen, C Schissler, S Garg, P Kobernik, A Clegg, P Calamia, D Batra, ... Advances in Neural Information Processing Systems 35, 8896-8911, 2022 | 77 | 2022 |
| Homerobot: Open-vocabulary mobile manipulation S Yenamandra, A Ramachandran, K Yadav, A Wang, M Khanna, T Gervet, ... arXiv preprint arXiv:2306.11565, 2023 | 72 | 2023 |
| Habitat 3.0: A co-habitat for humans, avatars and robots X Puig, E Undersander, A Szot, MD Cote, TY Yang, R Partsey, R Desai, ... arXiv preprint arXiv:2310.13724, 2023 | 68 | 2023 |
| Are we making real progress in simulated environments? measuring the sim2real gap in embodied visual navigation A Kadian, J Truong, A Gokaslan, A Clegg, E Wijmans, S Lee, M Savva, ... | 61 | 2019 |
| Habitat challenge 2022 K Yadav, SK Ramakrishnan, J Turner, A Gokaslan, O Maksymets, R Jain, ... | 60 | 2022 |
| Learning to collaborate from simulation for robot-assisted dressing A Clegg, Z Erickson, P Grady, G Turk, CC Kemp, CK Liu IEEE Robotics and Automation Letters 5 (2), 2746-2753, 2020 | 53 | 2020 |
| What does the person feel? learning to infer applied forces during robot-assisted dressing Z Erickson, A Clegg, W Yu, G Turk, CK Liu, CC Kemp 2017 IEEE International Conference on Robotics and Automation (ICRA), 6058-6065, 2017 | 45 | 2017 |
| Asc: Adaptive skill coordination for robotic mobile manipulation N Yokoyama, A Clegg, J Truong, E Undersander, TY Yang, S Arnaud, ... IEEE Robotics and Automation Letters 9 (1), 779-786, 2023 | 44 | 2023 |
| Circle: Capture in rich contextual environments JP Araújo, J Li, K Vetrivel, R Agarwal, J Wu, D Gopinath, AW Clegg, K Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 40 | 2023 |
| Animating human dressing A Clegg, J Tan, G Turk, CK Liu ACM Transactions on Graphics (TOG) 34 (4), 1-9, 2015 | 38 | 2015 |
| Learning to navigate cloth using haptics A Clegg, W Yu, Z Erickson, J Tan, CK Liu, G Turk 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 34 | 2017 |
| Habitat synthetic scenes dataset (hssd-200): An analysis of 3d scene scale and realism tradeoffs for objectgoal navigation M Khanna, Y Mao, H Jiang, S Haresh, B Shacklett, D Batra, A Clegg, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 29 | 2024 |
| Controllable human-object interaction synthesis J Li, A Clegg, R Mottaghi, J Wu, X Puig, CK Liu European Conference on Computer Vision, 54-72, 2025 | 26 | 2025 |
| Ace: Adversarial correspondence embedding for cross morphology motion retargeting from human to nonhuman characters T Li, J Won, A Clegg, J Kim, A Rai, S Ha SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023 | 14 | 2023 |
Dhruv BatraGeorgia Tech | Prev: FAIR (Meta AI)在 gatech.edu 的电子邮件经过验证