Julie Shah
Julie Shah
Professor, Department of Aeronautics and Astronautics, MIT
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Zitiert von
Zitiert von
Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
arXiv preprint arXiv:2211.06318, 2022
A survey of methods for safe human-robot interaction
PA Lasota, T Fong, JA Shah
Foundations and Trends® in Robotics 5 (4), 261-349, 2017
Artificial intelligence and life in 2030
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 …, 2016
The bayesian case model: A generative approach for case-based reasoning and prototype classification
B Kim, C Rudin, JA Shah
Advances in neural information processing systems 27, 2014
Improved human-robot team performance using chaski, a human-inspired plan execution system
J Shah, J Wiken, B Williams, C Breazeal
Proceedings of the 6th international conference on Human-robot interaction …, 2011
Improving robot controller transparency through autonomous policy explanation
B Hayes, JA Shah
Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017
Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams
MC Gombolay, RA Gutierrez, SG Clarke, GF Sturla, JA Shah
Autonomous Robots 39, 293-312, 2015
Efficient model learning from joint-action demonstrations for human-robot collaborative tasks
S Nikolaidis, R Ramakrishnan, K Gu, J Shah
Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015
Analyzing the effects of human-aware motion planning on close-proximity human–robot collaboration
PA Lasota, JA Shah
Human factors 57 (1), 21-33, 2015
Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy
S Nikolaidis, J Shah
2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013
Toward safe close-proximity human-robot interaction with standard industrial robots
PA Lasota, GF Rossano, JA Shah
2014 IEEE International Conference on Automation Science and Engineering …, 2014
Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification
C Pérez-D'Arpino, JA Shah
2015 IEEE international conference on robotics and automation (ICRA), 6175-6182, 2015
An architecture for online affordance‐based perception and whole‐body planning
M Fallon, S Kuindersma, S Karumanchi, M Antone, T Schneider, H Dai, ...
Journal of Field Robotics 32 (2), 229-254, 2015
Optimization of temporal dynamics for adaptive human-robot interaction in assembly manufacturing
R Wilcox, S Nikolaidis, J Shah
Robotics 8 (441), 10-15 607, 2013
Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences
M Gombolay, A Bair, C Huang, J Shah
The International journal of robotics research 36 (5-7), 597-617, 2017
Evaluating effects of user experience and system transparency on trust in automation
XJ Yang, VV Unhelkar, K Li, JA Shah
Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017
Fast scheduling of multi-robot teams with temporospatial constraints
M Gombolay, R Wilcox, J Shah
Robotics: Science and Systems Foundation, 2013
An empirical analysis of team coordination behaviors and action planning with application to human–robot teaming
J Shah, C Breazeal
Human factors 52 (2), 234-245, 2010
Human-aware robotic assistant for collaborative assembly: Integrating human motion prediction with planning in time
VV Unhelkar, PA Lasota, Q Tyroller, RD Buhai, L Marceau, B Deml, ...
IEEE Robotics and Automation Letters 3 (3), 2394-2401, 2018
Mind the gap: A generative approach to interpretable feature selection and extraction
B Kim, JA Shah, F Doshi-Velez
Advances in neural information processing systems 28, 2015
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