| Bayesian Inference of Temporal Task Specifications from Demonstrations A Shah, P Kamath, S Li, J Shah Conference on Neural Information Processing Systems, 2018 | 79 | 2018 |
| Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations J Kim, C Muise, A Shah, S Agarwal, J Shah International Joint Conference on Artificial Intelligence, 2019 | 62 | 2019 |
| Towards manipulation planning for multiple interlinked deformable linear objects AJ Shah, JA Shah 2016 IEEE International Conference on Robotics and Automation (ICRA), 3908-3915, 2016 | 39 | 2016 |
| Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly A Shah, LG Blumberg, J Shah IEEE Transactions on Automation Science and Engineering, 2018 | 31 | 2018 |
| Planning for manipulation of interlinked deformable linear objects with applications to aircraft assembly AJ Shah Massachusetts Institute of Technology, 2016 | 31 | 2016 |
| Planning with Uncertain Specifications (PUnS) A Shah, S Li, J Shah IEEE Robotics and Automation Letters, 2020 | 27 | 2020 |
| Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example S Booth, Y Zhou, A Shah, J Shah AAAI Conference on Artificial Intelligence, 2021 | 26* | 2021 |
| Interactive Robot Training for Non-Markov Tasks A Shah, S Wadhwania, J Shah arXiv:2003.02232, 2020 | 21 | 2020 |
| Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments JX Liu, Z Yang, B Schornstein, S Liang, I Idrees, S Tellex, A Shah Conference on Robot Learning, 2023 | 18* | 2023 |
| Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics S Li, N Figueroa, A Shah, JA Shah Robotics: Science and Systems, 2021 | 16 | 2021 |
| Appraisal of Statistical Practices in HRI vis-a-vis the T-Test for Likert Items/Scales M Gombolay, A Shah AAAI Fall Symposium Series, 2016 | 12 | 2016 |
| Skill Transfer for Temporally-Extended Task Specifications J Xinyu Liu, A Shah, E Rosen, G Konidaris, S Tellex arXiv e-prints, arXiv: 2206.05096, 2022 | 9* | 2022 |
| Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations Y Wang, N Figueroa, S Li, A Shah, J Shah arXiv preprint arXiv:2206.04632, 2022 | 4 | 2022 |
| Man-Machine Interoperation in Training for Large Force Exercise Air Missions PL Craven, KB Oden, KJ Landers, DJ Macannuco, AJ Shah, JA Shah Interservice/Industry Training, Simulation and Education Conference, 2019 | 2 | 2019 |
| Man-Machine Interoperation in Training for Offensive Counter Air Missions PL Craven, KB Oden, KJ Landers, AJ Shah, JA Shah Interservice/Industry Training, Simulation, and Education Conference (I …, 2018 | 2 | 2018 |
| Supervised Bayesian Specification Inference from Demonstrations A Shah, P Kamath, S Li, P Craven, K Landers, K Oden, J Shah International Journal of Robotics Research, 2023 | 1 | 2023 |
| Skill Transfer for Temporal Task Specification J Liu, A Shah, E Rosen, M Jia, G Konidaris, S Tellex CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 2023 | | 2023 |
| Plug in the Safety Chip: Enforcing Constraints for LLM-driven Robot Agents Z Yang, SS Raman, A Shah, S Tellex arXiv preprint arXiv:2309.09919, 2023 | | 2023 |
| Exploiting Contextual Structure to Generate Useful Auxiliary Tasks B Quartey, A Shah, G Konidaris arXiv preprint arXiv:2303.05038, 2023 | | 2023 |
| Interactive robot training for complex tasks A Shah Massachusetts Institute of Technology, 2021 | | 2021 |
Julie ShahProfessor, Department of Aeronautics and Astronautics, MITBestätigte E-Mail-Adresse bei csail.mit.edu
