Found 16 resultsAuthor Title Type [ Year]
Filters: First Letter Of Last Name is R [Clear All Filters]
"Do Feature Attribution Methods Correctly Attribute Features?", Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI, 02/2022.
"ExSum: From Local Explanations to Model Understanding", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Association for Computational Linguistics, 07/2022.
"IEEE P7001: a proposed standard on transparency", Frontiers in Robotics and AI, pp. 225, 2021.
"Reactive Task and Motion Planning under Temporal Logic Specifications", IEEE International Conference on Robotics and Automation (ICRA), 06/2021.
"Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution", Association for the Advancement of Artificial Intelligence, 01/2019.
"Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
"Enabling Robot Teammates to Learn Latent States of Human Collaborators", International Conference on Robotics and Automation (ICRA), Workshop on Robot Teammates Operating in Dynamic, Unstructured Environments, 05/2018.
"Toward a Real-time Activity Segmentation Method for Human-Robot Teaming", Robotics: Science and Systems (RSS), Workshop on Towards a framework for Joint Action: What about Theory of Mind?, 06/2018.
"Perturbation Training for Human-Robot Teams", Journal of Artificial Intelligence Research (JAIR), vol. 59, 07/2017.
"Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks", ACM/IEEE International Conference on Human Robot Interaction (HRI) [Best Enabling Technology Paper], Portland, Oregon, USA, 03/2015.
"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.
"Perturbation Training for Human-Robot Teams", Department of Electrical Engineering and Computer Science, vol. S.M., 2015.
"Scalable and interpretable data representation for high-dimensional, complex data", AAAI Conference on Artificial Intelligence (AAAI), 01/2015.
"The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification", Neural Information Processing Systems (NIPS), 12/2014.
"Toward Safe Close-Proximity Human-Robot Interaction with Standard Industrial Robots", IEEE International Conference on Automation Science and Engineering (CASE), 08/2014.
"A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans", International Conference on Automated Planning and Scheduling (ICAPS) [32% acceptance rate], 09/2007.