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
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
On stochastic optimal control and reinforcement learning by approximate inference
K Rawlik, M Toussaint, S Vijayakumar
Improving robot controller transparency through autonomous policy explanation
B Hayes, JA Shah
Proceedings of the 2017 ACM/IEEE international conference on human-robot …, 2017
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
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
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
A randomized trial of tirilazad mesylate in patients with acute stroke (RANTTAS)
P Scott, W Barsan, S Frederiksen, S Kronick, BJ Zink, RM Domeier, ...
Stroke (1970) 27 (9), 1453-1458, 1996
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
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 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
Gathering strength, gathering storms: The one hundred year study on artificial intelligence (AI100) 2021 study panel report
ML Littman, I Ajunwa, G Berger, C Boutilier, M Currie, F Doshi-Velez, ...
arXiv preprint arXiv:2210.15767, 2022
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
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
Optimization of temporal dynamics for adaptive human-robot interaction in assembly manufacturing
R Wilcox, S Nikolaidis, J Shah
Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes
M Pearce, B Mutlu, J Shah, R Radwin
IEEE transactions on automation science and engineering 15 (4), 1772-1784, 2018
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
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