23 citations · 56 across the 11 of their papers we have counts for
11 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…
Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction
Yaohui Guo, X. Jessie Yang, Cong Shi
Trust-aware human-robot interaction (HRI) has received increasing research attention, as trust has been shown to be a crucial factor for effective HRI. Research in trust-aware HRI…
Enabling Team of Teams: A Trust Inference and Propagation (TIP) 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…
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…
Reverse Psychology in Trust-Aware Human-Robot Interaction
Yaohui Guo, Cong Shi, X. Jessie Yang
To facilitate effective human-robot interaction (HRI), trust-aware HRI has been proposed, wherein the robotic agent explicitly considers the human's trust during its planning and d…
Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach
Yaohui Guo, X. Jessie Yang
Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past two decades. The majority of prior literature adopted a "snapshot" vi…
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief +4
Autonomous vehicles are expected to navigate in complex traffic scenarios with multiple surrounding vehicles. The correlations between road users vary over time, the degree of whic…
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles
Xun Gong, Yaohui Guo, Yiheng Feng +2
The energy efficiency of Connected and Automated Vehicles (CAVs) is significantly influenced by surrounding road users. This paper presents the evaluation of energy efficiency of C…
A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods
Zhiyuan Huang, Yaohui Guo, Henry Lam +1
Evaluation and validation of complicated control systems are crucial to guarantee usability and safety. Usually, failure happens in some very rarely encountered situations, but onc…
A Kinodynamic Aggressive Trajectory Planner For Narrow Passages
Yaohui Guo, Zhaolun Su, Dmitry Berenson +1
Planning a path for a nonholonomic robot is a challenging topic in motion planning and it becomes more difficult when the desired path contains narrow passages. This kind of scenar…
TrafficNet: An Open Naturalistic Driving Scenario Library
Ding Zhao, Yaohui Guo, Yunhan Jack Jia
The enormous efforts spent on collecting naturalistic driving data in the recent years has resulted in an expansion of publicly available traffic datasets, which has the potential…