CollabSphere: A Virtual Simulation System for Human-Robot Collaboration and Evaluation

Human-Robot Collaboration (HRC) in shared workspaces is an emerging robotic application model that has been widely used in the real world. However, most human-robot collaboration in shared spaces is evaluated on simple physical platforms, lacking experimental realism and scalability. To better study the methods and significance of human-robot collaboration, we have developed a new reusable virtual simulation system. This system allowed humans to enter a 3D virtual environment by wearing VR devices, establishing a human-in-the-loop human-robot collaboration environment. The environment supported human-robot collaboration, combat missions, and robot expansion. To validate our system, we created a human-robot collaboration task benchmark and conducted preliminary user research. The results showed that the differences in collaboration outcomes between humans and robots with varying capabilities confirm that our system can evaluate HRC efficiency, providing researchers with more effective tools. Future development directions include further enhancing the system’s intelligence level, improving its adaptability in dynamic and unstructured environments. With continuous optimization and expansion, this system is expected to become an important tool in HRC research, promoting the development and application of HRC technology.

Authors

Institutions

Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/iciibms62405.2024.10792757
Citations
3
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
1.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CollabSphere: A Virtual Simulation System for Human-Robot Collaboration and Evaluation

Yanzhi Dong, Jie Ren, Yongchang Li, Yajie Liu
3 citations
Human-Automation Interaction and Safety
1.93
article

CollabSphere: A Virtual Simulation System for Human-Robot Collaboration and Evaluation

Yanzhi Dong, Jie Ren, Yongchang Li, Yajie Liu
article en
3 citations

Abstract

Human-Robot Collaboration (HRC) in shared workspaces is an emerging robotic application model that has been widely used in the real world. However, most human-robot collaboration in shared spaces is evaluated on simple physical platforms, lacking experimental realism and scalability. To better study the methods and significance of human-robot collaboration, we have developed a new reusable virtual simulation system. This system allowed humans to enter a 3D virtual environment by wearing VR devices, establishing a human-in-the-loop human-robot collaboration environment. The environment supported human-robot collaboration, combat missions, and robot expansion. To validate our system, we created a human-robot collaboration task benchmark and conducted preliminary user research. The results showed that the differences in collaboration outcomes between humans and robots with varying capabilities confirm that our system can evaluate HRC efficiency, providing researchers with more effective tools. Future development directions include further enhancing the system’s intelligence level, improving its adaptability in dynamic and unstructured environments. With continuous optimization and expansion, this system is expected to become an important tool in HRC research, promoting the development and application of HRC technology.

Yantai University (CN)
Openalex Percentile: Top 13%
Human-Automation Interaction and Safety
1.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.