Manisha Natarajan

According to our database, Manisha Natarajan authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Investigating strategies enabling novice users to teach plannable hierarchical tasks to robots.

Nina Moorman, Aman Singh, Manisha Natarajan, Erin Hedlund-Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay, Nakul Gopalan

Int. J. Robotics Res., 2025

Adaptive Agents for Mixed-Initiative Human-AI Collaborations.

Manisha Natarajan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks.

Yi Ting Sam, Erin Hedlund-Botti, Manisha Natarajan, Jamison Heard, Matthew C. Gombolay

IEEE Trans. Robotics, 2024

Trust and Dependence on Robotic Decision Support.

Manisha Natarajan, Matthew C. Gombolay

IEEE Trans. Robotics, 2024

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

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

CoRR, 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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices.

Mariah Schrum, Muyleng Ghuy, Erin Hedlund-Botti, Manisha Natarajan, Michael J. Johnson, Matthew C. Gombolay

ACM Trans. Hum. Robot Interact., 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

Coordinating Human-Robot Teams with Dynamic and Stochastic Task Proficiencies.

Ruisen Liu, Manisha Natarajan, Matthew C. Gombolay

ACM Trans. Hum. Robot Interact., 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