14 citations · 17 across the 6 of their papers we have counts for
6 papers
A Linear Matching Bandit Approach to Online Multi-Human Multi-Robot Teaming
Yaohui Guo, X. Jessie Yang, Cong Shi
We address the problem of online multi-human multi-robot matching through the lens of a linear matching bandit framework, where a learner assigns robots with unknown features from…
Value Alignment and Trust in Human-Robot Interaction: Insights from Simulation and User Study
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
With the advent of AI technologies, humans and robots are increasingly teaming up to perform collaborative tasks. To enable smooth and effective collaboration, the topic of value a…
Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
This paper examines the effect of real-time, personalized alignment of a robot's reward function to the human's values on trust and team performance. We present and compare three d…
Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the huma…
TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams
Yaohui Guo, X. Jessie Yang, Cong Shi
Trust has been identified as a central factor for effective human-robot teaming. Existing literature on trust modeling predominantly focuses on dyadic human-autonomy teams where on…
Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
In this paper, we present a framework for trust-aware sequential decision-making in a human-robot team. We model the problem as a finite-horizon Markov Decision Process with a rewa…