| 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 | 215 | 2020 |
| Toward adaptive driving styles for automated driving with users' trust and preferences M Natarajan, K Akash, T Misu 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2022 | 26 | 2022 |
| Concerning trends in likert scale usage in human-robot interaction: Towards improving best practices M Schrum, M Ghuy, E Hedlund-Botti, M Natarajan, M Johnson, ... ACM Transactions on Human-Robot Interaction 12 (3), 1-32, 2023 | 20 | 2023 |
| Human-robot teaming: grand challenges M Natarajan, E Seraj, B Altundas, R Paleja, S Ye, L Chen, R Jensen, ... Current Robotics Reports 4 (3), 81-100, 2023 | 19 | 2023 |
| Coordinating human-robot teams with dynamic and stochastic task proficiencies R Liu, M Natarajan, MC Gombolay ACM Transactions on Human-Robot Interaction (THRI) 11 (1), 1-42, 2021 | 15 | 2021 |
| Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions N Gopalan, N Moorman, M Natarajan, M Gombolay Proceedings of Robotics: Science and Systems, 2022 | 8 | 2022 |
| Impacts of robot learning on user attitude and behavior N Moorman, E Hedlund-Botti, M Schrum, M Natarajan, MC Gombolay Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot …, 2023 | 6 | 2023 |
| Learning models of adversarial agent behavior under partial observability S Ye, M Natarajan, Z Wu, R Paleja, L Chen, MC Gombolay 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 4 | 2023 |
| Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games Z Wu, S Ye, M Natarajan, MC Gombolay arXiv preprint arXiv:2403.10794, 2024 | 2 | 2024 |
| Adversarial search and tracking with multiagent reinforcement learning in sparsely observable environment Z Wu, S Ye, M Natarajan, L Chen, R Paleja, MC Gombolay 2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 43-49, 2023 | 2 | 2023 |
| Diffusion Based Multi-Agent Adversarial Tracking S Ye, M Natarajan, Z Wu, M Gombolay arXiv preprint arXiv:2307.06244, 2023 | 2* | 2023 |
| Adaptive trust calibration M Natarajan, K Akash, T Misu US Patent 12,017,679, 2024 | | 2024 |
| Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation M Natarajan, C Xue, S van Waveren, K Feigh, M Gombolay arXiv preprint arXiv:2403.16178, 2024 | | 2024 |
| Mixed-Initiative Human-Robot Teaming under Suboptimality M Natarajan, C Xue, M Gombolay AAAI Fall Symposium Series, 2023 | | 2023 |
| Design of Human-Aware Robotic Decision Support Systems M Natarajan, C Xue, K Feigh, M Gombolay ICRA Workshop on Cognitive Modeling in Robot Learning for Adaptive Human …, 2023 | | 2023 |
Matthew GombolayAssistant Professor, Georgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证
