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Journal Articles
- 2023
[j2]Mariah Schrum, Muyleng Ghuy, Erin Hedlund-Botti
, Manisha Natarajan, Michael Johnson, Matthew C. Gombolay:
Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices. ACM Trans. Hum. Robot Interact. 12(3): 33:1-33:32 (2023)- 2022
- [j1]Ruisen Liu, Manisha Natarajan, Matthew C. Gombolay:
Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies. ACM Trans. Hum. Robot Interact. 11(1): 5:1-5:42 (2022)
Conference and Workshop Papers
- 2024
- [c8]Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay:
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. AAMAS 2024: 1454-1462 - 2023
- [c7]Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay:
Impacts of Robot Learning on User Attitude and Behavior. HRI 2023: 534-543 - [c6]Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay:
Learning Models of Adversarial Agent Behavior Under Partial Observability. IROS 2023: 3688-3695 - [c5]Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. MRS 2023: 43-49 - [c4]Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay:
Diffusion Models for Multi-target Adversarial Tracking. MRS 2023: 142-148 - 2022
- [c3]Manisha Natarajan, Kumar Akash, Teruhisa Misu:
Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences. HRI 2022: 940-944 - [c2]Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay:
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions. Robotics: Science and Systems 2022 - 2020
- [c1]Manisha Natarajan, Matthew C. Gombolay:
Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction. HRI 2020: 33-42
Informal and Other Publications
- 2024
- [i6]Zixuan Wu, Sean Ye, Manisha Natarajan, Matthew C. Gombolay:
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games. CoRR abs/2403.10794 (2024) - [i5]Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay:
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation. CoRR abs/2403.16178 (2024) - 2023
- [i4]Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay:
Learning Models of Adversarial Agent Behavior under Partial Observability. CoRR abs/2306.11168 (2023) - [i3]Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment. CoRR abs/2306.11301 (2023) - [i2]Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay:
Diffusion Based Multi-Agent Adversarial Tracking. CoRR abs/2307.06244 (2023) - 2020
- [i1]Ruisen Liu, Manisha Natarajan, Matthew Craig Gombolay:
Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves. CoRR abs/2007.01921 (2020)
Coauthor Index
aka: Matthew Craig Gombolay
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