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Wing-Yue Geoffrey Louie

8 accepted papers

2025

Training Human-Robot Teams by Improving Transparency Through a Virtual Spectator Interface

ICRA 2025

After-action reviews (AARs) are professional discussions that help operators and teams enhance their task performance by analyzing completed missions with peers and professionals. Previous studies comparing different formats of AARs have focused mainly on human teams. However, the inclusion of robot

Cited by 0SourceScholar
2024

Exploring the Impact of Narrator Type on Response Latency and Utterance Length During Interactive Storytelling

ICRA 2024poster

The inexorable progress of technology brought forth an era where robots increasingly integrate into human life which necessitates the understanding of human-robot interactions (HRI). This study unravels the details of HRI within interactive storytelling contexts. Through a between-subject experiment…

Cited by 0SourceScholar
2023

Emotionally Specific Backchanneling in Social Human-Robot Interaction and Human-Human Interaction

IROS 2023poster

Backchanneling models, designed to enhance the interactive capabilities of robots, have primarily been trained on human-human interaction data. However, applying such data directly to social robots raises concerns due to dissimilarities in the way humans and robots exhibit verbal and nonverbal behav…

Cited by 4SourceScholar
2022

Learning Turn-Taking Behavior from Human Demonstrations for Social Human-Robot Interactions

IROS 2022poster

Turn-taking is a fundamental behavior during human interactions and robots must be capable of turn-taking to interact with humans. Current state-of-the-art approaches in turn-taking focus on developing general models to predict the end of turn (EoT) across all contexts. This demands an all-inclusive…

Cited by 2SourceScholar
2022

Sim2real Learning of Obstacle Avoidance for Robotic Manipulators in Uncertain Environments

RA-L 2022

Obstacle avoidance for robotic manipulators can be challenging when they operate in unstructured environments. This problem is probed with the sim-to-real (sim2real) deep reinforcement learning, such that a moving policy of the robotic arm is learnt in a simulator and then adapted to the real world.

Cited by 38SourceScholar
2021

Can Therapists Design Robot-Mediated Interventions and Teleoperate Robots Using VR to Deliver Interventions for ASD?

ICRA 2021poster

Socially Assistive Robots (SARs) have demonstrated success in the delivery of interventions to individuals with Autism Spectrum Disorder (ASD). To date, these robot-mediated interventions have primarily been designed and implemented by robotics researchers. It remains unclear whether therapists coul…

Cited by 14SourceScholar
2016

A learning from demonstration system architecture for robots learning social group recreational activities

IROS 2016poster

Group-based recreational activities have shown to have a number of health benefits for people of all ages. The handful of social robots designed to facilitate such activities are currently only able to implement a priori known recreational activities that have been pre-programmed by human experts. O…

Cited by 17SourceScholar