| Motion planning networks AH Qureshi, A Simeonov, MJ Bency, MC Yip 2019 International Conference on Robotics and Automation (ICRA), 2118-2124, 2019 | 301 | 2019 |
| Motion planning networks: Bridging the gap between learning-based and classical motion planners AH Qureshi, Y Miao, A Simeonov, MC Yip IEEE Transactions on Robotics 37 (1), 48-66, 2020 | 260 | 2020 |
| Neural Descriptor Fields: SE (3)-Equivariant Object Representations for Manipulation A Simeonov, Y Du, A Tagliasacchi, JB Tenenbaum, A Rodriguez, ... 2022 International Conference on Robotics and Automation (ICRA), 2021 | 226* | 2021 |
| Modeling and inverse compensation of hysteresis in supercoiled polymer artificial muscles J Zhang, K Iyer, A Simeonov, MC Yip IEEE Robotics and Automation Letters 2 (2), 773-780, 2017 | 90 | 2017 |
| Bundled super-coiled polymer artificial muscles: Design, characterization, and modeling A Simeonov, T Henderson, Z Lan, G Sundar, A Factor, J Zhang, M Yip IEEE Robotics and Automation Letters 3 (3), 1671-1678, 2018 | 62 | 2018 |
| A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects A Simeonov, Y Du, B Kim, FR Hogan, J Tenenbaum, P Agrawal, ... 2020 Conference on Robot Learning, 2020 | 54* | 2020 |
| SE (3)-Equivariant Relational Rearrangement with Neural Descriptor Fields A Simeonov, Y Du, L Yen-Chen, A Rodriguez, LP Kaelbling, ... 6th Annual Conference on Robot Learning, 2022 | 52* | 2022 |
| Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement A Simeonov, A Goyal, L Manuelli, L Yen-Chen, A Sarmiento, A Rodriguez, ... 7th Annual Conference on Robot Learning, 2023 | 42 | 2023 |
| Three-dimensional hysteresis compensation enhances accuracy of robotic artificial muscles J Zhang, A Simeonov, MC Yip Smart Materials and Structures 27 (3), 035002, 2018 | 38 | 2018 |
| MIRA: Mental imagery for robotic affordances YC Lin, P Florence, A Zeng, JT Barron, Y Du, WC Ma, A Simeonov, ... Conference on Robot Learning, 1916-1927, 2023 | 37* | 2023 |
| Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation M Torne, A Simeonov, Z Li, A Chan, T Chen, A Gupta, P Agrawal arXiv preprint arXiv:2403.03949, 2024 | 30 | 2024 |
| Local neural descriptor fields: Locally conditioned object representations for manipulation E Chun, Y Du, A Simeonov, T Lozano-Perez, L Kaelbling 2023 IEEE International Conference on Robotics and Automation (ICRA), 1830-1836, 2023 | 25* | 2023 |
| Lifelong Robot Learning with Human Assisted Language Planners M Parakh, A Fong, A Simeonov, T Chen, A Gupta, P Agrawal CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 2023 | 21* | 2023 |
| Diffusion Policy Policy Optimization AZ Ren, J Lidard, LL Ankile, A Simeonov, P Agrawal, A Majumdar, ... arXiv preprint arXiv:2409.00588, 2024 | 18 | 2024 |
| Stickman: Towards a Human Scale Acrobatic Robot MT Pope, S Christensen, D Christensen, A Simeonov, G Imahara, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 2134-2140, 2018 | 15 | 2018 |
| JUICER: Data-Efficient Imitation Learning for Robotic Assembly L Ankile, A Simeonov, I Shenfeld, P Agrawal arXiv preprint arXiv:2404.03729, 2024 | 6 | 2024 |
| From Imitation to Refinement--Residual RL for Precise Assembly L Ankile, A Simeonov, I Shenfeld, M Torne, P Agrawal arXiv preprint arXiv:2407.16677, 2024 | 5* | 2024 |
| Scaling Robot-Learning by Crowdsourcing Simulation Environments MT Villasevil, A Jain, V Macha, J Yuan, LL Ankile, A Simeonov, P Agrawal, ... RSS 2024 Workshop: Data Generation for Robotics, 0 | 1 | |
| Robot Learning with Super-Linear Scaling M Torne, A Jain, J Yuan, V Macha, L Ankile, A Simeonov, P Agrawal, ... arXiv preprint arXiv:2412.01770, 2024 | | 2024 |
| Gripper-Aware GraspNet: End-Effector Shape Context for Cross-Gripper Generalization A Sarmiento, A Simeonov, P Agrawal | | |
Pulkit AgrawalMassachusetts Institute of Technologymit.edu의 이메일 확인됨