Found 130 results
Author Title [ Type(Desc)] Year
Conference Proceedings
Hopkins*, A., and S. Booth*, "Machine learning practices outside big tech: How resource constraints challenge responsible development", Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021.
Kim, B., J. Shah, and F. Doshi-Velez, "Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction", Neural Information Processing Systems (NIPS), 12/2015.
Lasota, P. A., and J. A. Shah, "A Multiple-Predictor Approach to Human Motion Prediction", IEEE International Conference on Robotics and Automation (ICRA), 05/2017.
Wilcox, R., and J. A. Shah, "Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing", AIAA Infotech@Aerospace (I@A), 06/2012.
Wilcox, R., S. Nikolaidis, and J. A. Shah, "Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing", Robotics: Science and Systems (RSS) [33% acceptance rate], 07/2012.
Ramakrishnan, R., E. Kamar, B. Nushi, D. Dey, J. Shah, and E. Horvitz, "Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution", Association for the Advancement of Artificial Intelligence, 01/2019.
Zhou, Y., S. Schockaert, and J. A. Shah, "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness", The Web Conference (WWW), San Francisco, CA, ACM, 05/2019.
Fong, T., J. Scholtz, J. A. Shah, L. Fluckiger, C. Kunz, D. Lees, J. Schreiner, M. Siegel, L. M. Hiatt, I. Nourbakhsh, et al., "A Preliminary Study of Peer-to-Peer Human-Robot Interaction", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2006.
Li, S., N. Figueroa, A. Shah, and J. A. Shah, "Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics", Robotics: Science and Systems (R:SS), 07/2021.
Kim, B., L. Bush, and J. A. Shah, "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.
Li*, S., D. Park*, Y. Sung*, J. Shah, and N. Roy, "Reactive Task and Motion Planning under Temporal Logic Specifications", IEEE International Conference on Robotics and Automation (ICRA), 06/2021.
Gombolay, M., X. Jessie Yang, B. Hayes, N. Seo, Z. Liu, S. Wadhwania, T. Yu, N. Shah, T. Golen, and J. Shah, "Robotic Assistance in Coordination of Patient Care", Robotics: Science and Systems (RSS), 06/2016.
Zhou, Y., S. Booth, N. Figueroa, and J. Shah, "RoCUS: Robot Controller Understanding via Sampling", Conference on Robot Learning (CoRL), London, UK, Proceedings of Machine Learning Research, 11/2021.
Li, S., and J. A. Shah, "Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction", International Conference on Robotics and Automation (ICRA), 05/2019.
Kim, B., K. Patel, A. Rostamizadeh, and J. Shah, "Scalable and interpretable data representation for high-dimensional, complex data", AAAI Conference on Artificial Intelligence (AAAI), 01/2015.
Unhelkar*, V. V., S. Li*, and J. A. Shah, "Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration", Conference on Robot Learning (CoRL), 10/2019.
Lasota, P. A., G. F. Rossano, and J. A. Shah, "Toward Safe Close-Proximity Human-Robot Interaction with Standard Industrial Robots", IEEE International Conference on Automation Science and Engineering (CASE), 08/2014.
Unhelkar, V. V., J. Perez, J. C. Boerkoel, J. Bix, S. Bartscher, and J. A. Shah, "Towards Control and Sensing for an autonomous Mobile Robotic Assistant navigating Assembly Lines", IEEE International Conference on Robotics and Automation (ICRA), 06/2014.
Shah, A. J., and J. A. Shah, "Towards Manipulation Planning for Multiple Interlinked Deformable Linear Objects", IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, IEEE, 05/2016.
Gombolay, M. C., and J. A. Shah, "Uniprocessor Scheduling Policy for Non-Preemptive Task Sets with Precedence and Temporal Constraints", AIAA Infotech@Aerospace (I@A) [Best Intelligent Systems Paper], 06/2012.