Biblio
Found 28 results
Author Title Type [ Year] Filters: First Letter Of Last Name is K [Clear All Filters]
"A Preliminary Study of Peer-to-Peer Human-Robot Interaction",
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2006.
"Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior",
AAAI Conference on Artificial Intelligence (AAAI) [29% Acceptance Rate], 07/2013.
"Quantitative Estimation of the Strength of Agreements in Goal-Oriented Meetings",
IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 02/2013.
"An Architecture for Online Affordance-based Perception and Whole-body Planning",
Journal of Field Robotics (JFR), vol. 32, issue 2, 10/2014.
"An Architecture for Online Affordance-based Perception and Whole-body Planning",
Journal of Field Robotics (JFR), vol. 32, issue 2, 10/2014.
"An Architecture for Online Affordance-based Perception and Whole-body Planning",
Journal of Field Robotics (JFR), vol. 32, issue 2, 10/2014.
"Automatic Prediction of Consistency among Team Members' Understanding of Group Decisions in Meetings",
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2014.
"The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification",
Neural Information Processing Systems (NIPS), 12/2014.
"Improving Team's Consistency of Understanding in Meetings: Intelligent Agent Participation and Human Subject Studies",
Aeronautics and Astronautics, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 66, 2015.
"Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior",
Journal of Artificial Intelligence Research (JAIR) , pp. 361-398, 2015.
"Interactive and Interpretable Machine Learning Models for Human Machine Collaboration",
Department of Aeronautics and Astronautics, vol. Ph. D., 2015.
"Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction",
Neural Information Processing Systems (NIPS), 12/2015.
"Scalable and interpretable data representation for high-dimensional, complex data",
AAAI Conference on Artificial Intelligence (AAAI), 01/2015.
"Improving Team's Consistency of Understanding in Meetings",
IEEE Transactions on Human-Machine Systems (THMS), vol. 46, issue 5, pp. 625-637, 04/2016.
"Simulation and Comparative Evaluation of Flexible Automotive Assembly Layouts",
Department of Electrical Engineering and Computer Science, vol. M. Eng., 2016.
"Collaborative Planning with Encoding of Users’ High-level Strategies",
AAAI Conference on Artificial Intelligence (AAAI), 02/2017.
"Intelligent Sensory Modality Selection for Electronic Supportive Devices",
ACM Conference on Intelligent User Interfaces (IUI), 03/2017.
"Bayesian Inference of Temporal Task Specifications from Demonstrations",
Conference on Neural Information Processing Systems, Montreal, Canada, 2018.
"Discovering Blind Spots in Reinforcement Learning",
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
"Learning to Infer Final Plans in Human Team Planning",
International Joint Conferences on Artificial Intelligence (IJCAI), 07/2018.
"Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations",
International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
"Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution",
Association for the Advancement of Artificial Intelligence, 01/2019.
"Modeling Blackbox Agent Behaviour via Knowledge Compilation",
AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
"Imitation Learning for Sequential Manipulation Tasks: Leveraging Language and Perception",
Department of Electrical Engineering and Computer Science, vol. M. Eng: Massachusetts Institute of Technology, 2021.
"Extended Abstract: Graduate Student Descent Considered Harmful? A Proposal for Studying Overfitting in Reward Functions",
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making, Providence, RI, 2022.