Found 32 resultsAuthor Title [ Type] Year
Filters: Author is Julie Shah [Clear All Filters]
"Towards Specification Learning from Demonstrations", Robotics: Science and Systems (RSS), Workshop on Learning from Demonstrations for High Level Robotics Tasks, 06/2018.
"Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach", AAAI, StarAI Workshop, 2020.
"Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
"Learning Household Task Knowledge from WikiHow Descriptions", International Joint Conference on Artificial Intelligence (IJCAI), Workshop on Semantic Deep Learning, 08/2019.
"The Irrationality of Neural Rationale Models", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2nd Workshop on Trustworthy Natural Langauge Processing (TrustNLP), 07/2022.
"How to Understand Your Robot: A Design Space Informed by Human Concept Learning", International Conference on Robotics and Automation (ICRA), Workshop on Social Intelligence in Humans and Robots (SIHR), 05/2021.
"Robotic assistance in the coordination of patient care", International Journal of Robotics Research (IJRR) (Accepted 02/2018—To Appear), 2018.
"Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly", IEEE Transactions on Automation Science and Engineering (T-ASE), pp. 1-16, 03/2018.
"Perturbation Training for Human-Robot Teams", Journal of Artificial Intelligence Research (JAIR), vol. 59, 07/2017.
"Improved human–robot team performance through cross-training, an approach inspired by human team training practices", International Journal of Robotics Research (IJRR), vol. 34, issue 14, pp. 1711-1730, 12/2015.
"Implicit Coordination Strategies for Effective Team Communication", Human Factors: The Journal of the Human Factors and Ergonomics Society (HFES), vol. 58, issue 4, 06/2016.
"Human-Machine Collaborative Optimization via Apprenticeship Scheduling", Journal of Artificial Intelligence Research (JAIR) (Accepted 02/2018—To Appear), 2018.
"Computational Design of Mixed-Initiative Human–Robot Teaming That Considers Human Factors: Situational Awareness, Workload, and Workflow Preferences", The International Journal of Robotics Research (IJRR), vol. 36, issue 5-7, pp. 597-617, 02/2017.
"Scalable and interpretable data representation for high-dimensional, complex data", AAAI Conference on Artificial Intelligence (AAAI), 01/2015.
"RoCUS: Robot Controller Understanding via Sampling", Conference on Robot Learning (CoRL), London, UK, Proceedings of Machine Learning Research, 11/2021.
"Robotic Assistance in Coordination of Patient Care", Robotics: Science and Systems (RSS), 06/2016.
"Reactive Task and Motion Planning under Temporal Logic Specifications", IEEE International Conference on Robotics and Automation (ICRA), 06/2021.
"The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications", Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C. , 02/2023.
"Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution", Association for the Advancement of Artificial Intelligence, 01/2019.
"Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction", Neural Information Processing Systems (NIPS), 12/2015.
"Intelligent Sensory Modality Selection for Electronic Supportive Devices", ACM Conference on Intelligent User Interfaces (IUI), 03/2017.
"Human-Robot Collaboration in Manufacturing: Quantitative Evaluation of Predictable, Convergent Joint Action", International Symposium on Robotics (ISR) [Best Paper Nomination], 10/2013.
"Fast Target Prediction of Human Reaching Motion for Cooperative Human-Robot Manipulation Tasks Using Time Series Classification", IEEE International Conference on Robotics and Automation (ICRA), 05/2015.
"Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
"Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.