Shreyas Bhat smiles and poses for a portrait.

Shreyas Bhat

PhD Student

Location

G831

Phone

Primary Website

Biography

Personal Pronouns

he/him

Shreyas Bhat is a PhD candidate at the Department of Industrial and Operations Engineering, with a focus on trust in human-robot interaction. Shreyas received his MS in Robotics from the University of Michigan in 2021 and his Bachelors in Mechanical Engineering from the Indian Institute of Technology, Bombay in 2019.

Education

  • MS, University of Michigan, 2021, Robotics
  • BTech, Indian Institute of Technology – Bombay, 2019, Mechanical Engineering

Research Interests

My research focuses on the intersection of human factors and optimization, as it applies to human-robot interaction. I mainly deal with studying how humans trust robots and designing robot interaction strategies that promote trust and team performance.


Research areas:
,
  • Human-Robot Interaction

Professional Society Memberships

  • Association for the Advancement of Artificial Intelligence (AAAI)
  • Human Factors and Ergonomics Society (HFES)
  • Institute of Electrical and Electronics Engineers (IEEE)

Sample publications

  • Bhat, S., Lyons, J.B., Shi, C., Yang, X.J. (2024). Value Alignment and Trust in Human-Robot Interaction: Insights from Simulation and User Study. In: Vinjamuri, R. (eds) Discovering the Frontiers of Human-Robot Interaction. Springer, Cham. https://doi.org/10.1007/978-3-031-66656-8_3
  • Shreyas Bhat, Joseph B. Lyons, Cong Shi, and X. Jessie Yang. 2024. Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes. In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24). Association for Computing Machinery, New York, NY, USA, 32–41. https://doi.org/10.1145/3610977.3634921
  • S. Bhat, J. B. Lyons, C. Shi and X. J. Yang, “Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task,” in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 8815-8822, Oct. 2022, doi: 10.1109/LRA.2022.3188902.