Rohan Chitnis
Rohan Chitnis
MIT, UC Berkeley
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Combined task and motion planning through an extensible planner-independent interface layer
S Srivastava, E Fang, L Riano, R Chitnis, S Russell, P Abbeel
2014 IEEE international conference on robotics and automation (ICRA), 639-646, 2014
3182014
Variable-length word encodings for neural translation models
R Chitnis, J DeNero
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
352015
Guided search for task and motion plans using learned heuristics
R Chitnis, D Hadfield-Menell, A Gupta, S Srivastava, E Groshev, C Lin, ...
2016 IEEE International Conference on Robotics and Automation (ICRA), 447-454, 2016
282016
Modular task and motion planning in belief space
D Hadfield-Menell, E Groshev, R Chitnis, P Abbeel
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
272015
Learning quickly to plan quickly using modular meta-learning
R Chitnis, LP Kaelbling, T Lozano-Pérez
2019 International Conference on Robotics and Automation (ICRA), 7865-7871, 2019
92019
Integrating human-provided information into belief state representation using dynamic factorization
R Chitnis, LP Kaelbling, T Lozano-Pérez
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
82018
Sequential quadratic programming for task plan optimization
D Hadfield-Menell, C Lin, R Chitnis, S Russell, P Abbeel
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
72016
Integrated task and motion planning
CR Garrett, R Chitnis, R Holladay, B Kim, T Silver, LP Kaelbling, ...
arXiv preprint arXiv:2010.01083, 2020
42020
Efficient bimanual manipulation using learned task schemas
R Chitnis, S Tulsiani, S Gupta, A Gupta
2020 IEEE International Conference on Robotics and Automation (ICRA), 1149-1155, 2020
32020
Learning compact models for planning with exogenous processes
R Chitnis, T Lozano-Pérez
Conference on Robot Learning, 813-822, 2020
32020
Glib: Exploration via goal-literal babbling for lifted operator learning
R Chitnis, T Silver, J Tenenbaum, LP Kaelbling, T Lozano-Perez
arXiv preprint arXiv:2001.08299, 2020
32020
PDDLGym: Gym Environments from PDDL Problems
T Silver, R Chitnis
arXiv preprint arXiv:2002.06432, 2020
22020
Planning with learned object importance in large problem instances using graph neural networks
T Silver, R Chitnis, A Curtis, J Tenenbaum, T Lozano-Perez, LP Kaelbling
arXiv preprint arXiv:2009.05613, 2020
12020
A unifying framework for social motivation in human-robot interaction
A Wang, R Chitnis, M Li, LP Kaelbling, T Lozano-Pérez
AAAI Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020
12020
Finding frequent entities in continuous data
F Alet, R Chitnis, LP Kaelbling, T Lozano-Pérez
arXiv preprint arXiv:1805.02874, 2018
12018
Learning What Information to Give in Partially Observed Domains
R Chitnis, LP Kaelbling, T Lozano-Pérez
12018
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
R Chitnis, T Silver, B Kim, LP Kaelbling, T Lozano-Perez
arXiv preprint arXiv:2007.13202, 2020
2020
Intrinsic Motivation for Encouraging Synergistic Behavior
R Chitnis, S Tulsiani, S Gupta, A Gupta
arXiv preprint arXiv:2002.05189, 2020
2020
Learning to Plan Under Variable Assistance
R Chitnis, J Yu, L Luong, LP Kaelbling, T Lozano-Pérez
2019
Learning an Interface to Improve Efficiency in Combined Task and Motion Planning
R Chitnis, D Hadfield-Menell, S Srivastava, A Gupta, P Abbeel
2015
The system can't perform the operation now. Try again later.
Articles 1–20