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Ankit Shah
Ankit Shah
The AI Institute
Verified email at theaiinstitute.com - Homepage
Title
Cited by
Cited by
Year
Bayesian Inference of Temporal Task Specifications from Demonstrations
A Shah, P Kamath, S Li, J Shah
Conference on Neural Information Processing Systems, 2018
852018
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
682019
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
442016
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
34*2023
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
332018
Planning for manipulation of interlinked deformable linear objects with applications to aircraft assembly
AJ Shah
Massachusetts Institute of Technology, 2016
332016
Planning with Uncertain Specifications (PUnS)
A Shah, S Li, J Shah
IEEE Robotics and Automation Letters, 2020
292020
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
25*2021
Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics
S Li, N Figueroa, A Shah, JA Shah
Robotics: Science and Systems, 2021
212021
Interactive Robot Training for Temporal Tasks
A Shah, J Shah
HRI Pioneers, Companion of the 2020 ACM/IEEE International Conference on …, 2020
212020
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
152016
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
102022
Skill Transfer for Temporally-Extended Task Specifications
J Xinyu Liu, A Shah, E Rosen, G Konidaris, S Tellex
IEEE International Conference on Robotics and Automation, 2024
8*2024
Plug in the safety chip: Enforcing constraints for llm-driven robot agents
Z Yang, SS Raman, A Shah, S Tellex
International Conference on Robotics and Automation, 2024
62024
Man-machine interoperation in training for large force exercise air missions
PL Craven, KB Oden, KJ Landers, DJ Macannuco, AJ Shah, JA Shah
Proceedings of Interservice/Industry Training, Simulation, and Education …, 2019
22019
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
22018
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
12023
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
B Quartey, A Shah, G Konidaris
arXiv preprint arXiv:2303.05038, 2023
12023
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
Interactive robot training for complex tasks
A Shah
Massachusetts Institute of Technology, 2021
2021
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