Manisha Natarajan

According to our database, Manisha Natarajan authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation.

Manisha Natarajan, Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew C. Gombolay

CoRR, 2024

Diffusion-Reinforcement Learning Hierarchical Motion Planning in Adversarial Multi-agent Games.

Zixuan Wu, Sean Ye, Manisha Natarajan, Matthew C. Gombolay

CoRR, 2024

2023

Diffusion Based Multi-Agent Adversarial Tracking.

Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay

CoRR, 2023

Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment.

Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

CoRR, 2023

Diffusion Models for Multi-target Adversarial Tracking.

Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment.

Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Learning Models of Adversarial Agent Behavior Under Partial Observability.

Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay

IROS, 2023

Impacts of Robot Learning on User Attitude and Behavior.

Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022

Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions.

Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences.

Manisha Natarajan, Kumar Akash, Teruhisa Misu

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2020

Human-Robot Team Coordination with Dynamic and Latent Human Task Proficiencies: Scheduling with Learning Curves.

Ruisen Liu, Manisha Natarajan, Matthew Craig Gombolay

CoRR, 2020

Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction.

Manisha Natarajan, Matthew C. Gombolay

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020