Julie Shah
Julie Shah
Professor, Department of Aeronautics and Astronautics, MIT
Verified email at csail.mit.edu - Homepage
Cited by
Cited by
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, ...
Stanford University, 2016
A survey of methods for safe human-robot interaction
PA Lasota, T Fong, JA Shah
Now Publishers, 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, 1952-1960, 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
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 (3), 293-312, 2015
Efficient model learning from joint-action demonstrations for human-robot collaborative tasks
S Nikolaidis, R Ramakrishnan, K Gu, J Shah
2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 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
Improving robot controller transparency through autonomous policy explanation
B Hayes, JA Shah
2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2017
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
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
Optimization of temporal dynamics for adaptive human-robot interaction in assembly manufacturing
R Wilcox, S Nikolaidis, J Shah
Robotics 8, 441, 2013
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
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
Design and philosophy of the bimasc, a highly dynamic biped
JW Hurst, JE Chestnutt, AA Rizzi
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
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
2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2017
Mind the gap: A generative approach to interpretable feature selection and extraction
B Kim, JA Shah, F Doshi-Velez
Neural Information Processing Systems Foundation Inc., 2015
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