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ORCIDAnkit Shah 0003
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Ankit Shah — disambiguation page
- Ankit Shah 0001
![[0000-0002-8838-5421]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8838-5421")
— Carnegie Mellon University, Language Technologies Institute, Pittsburgh, USA - Ankit Shah 0002 — George Mason University, Center for Secure Information Systems, Fairfax, VA, USA
- Ankit Shah 0004 — Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar, India
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2020 – today
- 2023
[j3]Ankit Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian specification inference from demonstrations. Int. J. Robotics Res. 42(14): 1245-1264 (2023)- 2022
- [c8]Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRL 2022: 94-105 - [i6]Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRR abs/2206.04632 (2022) - 2021
- [c7]Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah:
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI 2021: 11423-11432 - [c6]Shen Li, Nadia Figueroa, Ankit J. Shah, Julie A. Shah:
Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics. Robotics: Science and Systems 2021 - [i5]Ankit J. Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian Specification Inference from Demonstrations. CoRR abs/2107.02912 (2021) - 2020
- [j2]Ankit Shah, Shen Li, Julie Shah:
Planning With Uncertain Specifications (PUnS). IEEE Robotics Autom. Lett. 5(2): 3414-3421 (2020) - [c5]Ankit J. Shah, Julie Shah:
Interactive Robot Training for Temporal Tasks. HRI (Companion) 2020: 603-605 - [i4]Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah:
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR abs/2001.03076 (2020) - [i3]Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah:
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR abs/2002.10248 (2020) - [i2]Ankit Shah, Julie Shah:
Interactive Robot Training for Non-Markov Tasks. CoRR abs/2003.02232 (2020)
2010 – 2019
- 2019
- [c4]Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah:
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. IJCAI 2019: 5591-5598 - [i1]Ankit Shah, Shen Li, Julie Shah:
Planning With Uncertain Specifications (PUnS). CoRR abs/1906.03218 (2019) - 2018
- [j1]Ankit Shah, Lotta Blumberg, Julie A. Shah:
Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly. IEEE Trans Autom. Sci. Eng. 15(4): 1823-1838 (2018) - [c3]Ankit Shah, Pritish Kamath, Julie A. Shah, Shen Li:
Bayesian Inference of Temporal Task Specifications from Demonstrations. NeurIPS 2018: 3808-3817 - 2016
- [c2]Matthew C. Gombolay, Ankit Shah:
Appraisal of Statistical Practices in HRI vis-a-vis the T-Test for Likert Items/Scales. AAAI Fall Symposia 2016 - [c1]Ankit J. Shah, Julie A. Shah:
Towards manipulation planning for multiple interlinked deformable linear objects. ICRA 2016: 3908-3915
Coauthor Index
aka: Julie Shah
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