| 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 | 208 | 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 | 123 | 2017 |
| Fast scheduling of multi-robot teams with temporospatial constraints M Gombolay, R Wilcox, J Shah Robotics: Science and Systems, 2013 | 121 | 2013 |
| Fast scheduling of robot teams performing tasks with temporospatial constraints MC Gombolay, RJ Wilcox, JA Shah IEEE Transactions on Robotics 34 (1), 220-239, 2018 | 88 | 2018 |
| Robotic assistance in the coordination of patient care M Gombolay, XJ Yang, B Hayes, N Seo, Z Liu, S Wadhwania, T Yu, ... The International Journal of Robotics Research 37 (10), 1300-1316, 2018 | 68 | 2018 |
| Effects of anthropomorphism and accountability on trust in human robot interaction M Natarajan, M Gombolay Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 63 | 2020 |
| Coordination of human-robot teaming with human task preferences MC Gombolay, C Huang, J Shah 2015 AAAI Fall Symposium Series, 2015 | 54 | 2015 |
| Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning A Silva, T Killian, IDJ Rodriguez, SH Son, M Gombolay The 23rd International Conference on Artificial Intelligence and Statistics, 2020 | 44* | 2020 |
| Apprenticeship scheduling: Learning to schedule from human experts M Gombolay, R Jensen, J Stigile, SH Son, J Shah AAAI Press/International Joint Conferences on Artificial Intelligence, 2016 | 41 | 2016 |
| Learning scheduling policies for multi-robot coordination with graph attention networks Z Wang, M Gombolay IEEE Robotics and Automation Letters 5 (3), 4509-4516, 2020 | 32 | 2020 |
| Four years in review: Statistical practices of likert scales in human-robot interaction studies ML Schrum, M Johnson, M Ghuy, MC Gombolay Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 32 | 2020 |
| Human-Machine Collaborative Optimization via Apprenticeship Scheduling M Gombolay, R Jensen, J Stigile, T Golen, N Shah, SH Son, J Shah Journal of Artificial Intelligence Research 63, 2018 | 30 | 2018 |
| Learning from suboptimal demonstration via self-supervised reward regression L Chen, R Paleja, M Gombolay Conference on Robot Learning (CoRL), 2020 | 28 | 2020 |
| Coordinated control of uavs for human-centered active sensing of wildfires E Seraj, M Gombolay 2020 American Control Conference (ACC), 1845-1852, 2020 | 27 | 2020 |
| Encoding Human Domain Knowledge to Warm Start Reinforcement Learning A Silva, M Gombolay AAAI Conference on Artificial Intelligence, 2021 | 21* | 2021 |
| Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation L Chen, R Paleja, M Ghuy, M Gombolay ACM/IEEE International Conference on Human-Robot Interaction, 2020 | 21 | 2020 |
| Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations R Paleja, A Silva, L Chen, M Gombolay Advances in Neural Information Processing Systems, 2020 | 19* | 2020 |
| Towards successful coordination of human and robotic work using automated scheduling tools: An initial pilot study MC Gombolay, RJ Wilcox, A Diaz, F Yu, JA Shah Proc. Robotics: Science and Systems (RSS) Human-Robot Collaboration Workshop …, 2013 | 18 | 2013 |
| Multi-Agent Graph-Attention Communication and Teaming. Y Niu, RR Paleja, MC Gombolay AAMAS, 964-973, 2021 | 17 | 2021 |
| Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints Z Wang, C Liu, M Gombolay Autonomous Robots, 1-20, 2021 | 15 | 2021 |
Julie ShahProfessor, Department of Aeronautics and Astronautics, MITVerified email at csail.mit.edu
