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Conference Publications

Learning What Information to Give in Partially Observed Domains
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez.
In the proceedings of the Conference on Robot Learning (CoRL), 2018.
PDF / Video / arXiv

Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez.
In the proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.
PDF / Video / arXiv

Finding Frequent Entities in Continuous Data
Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez.
In the proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2018.
PDF / Website / arXiv

Sequential Quadratic Programming for Task Plan Optimization
Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel.
In the proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
PDF

Guided Search for Task and Motion Plans Using Learned Heuristics
Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel.
In the proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2016.
PDF / Video

Variable-Length Word Encodings for Neural Translation Models
Rohan Chitnis, John DeNero.
In the proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
PDF

Modular Task and Motion Planning in Belief Space
Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel.
In the proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
PDF

Combined Task and Motion Planning Through an Extensible Planner-Independent Interface Layer
Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel.
In the proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2014.
PDF / Website

Workshop Papers

Planning to Give Information in Partially Observed Domains with a Learned Weighted Entropy Model
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez.
Presented at the ICML / IJCAI / AAMAS Workshop on Planning and Learning (PAL), 2018.
PDF / arXiv

Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization
Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez.
Presented at the ICML / IJCAI / AAMAS Workshop on Statistical Relational AI (StarAI), 2018.
Winner of Best Paper Award.
PDF / arXiv

Learning an Interface to Improve Efficiency in Combined Task and Motion Planning
Rohan Chitnis, Dylan Hadfield-Menell, Siddharth Srivastava, Abhishek Gupta, Pieter Abbeel.
Presented at the IROS Workshop on Machine Learning in Planning and Control of Robot Motion (MLPC), 2015.
PDF