Huidong Bai

University of Auckland

Papers

3

Total Citations

49

H-Index

3

About

Huidong Bai is a leading researcher at the intersection of robotics and extended reality (XR), with a primary focus on enhancing human-robot interaction through immersive technologies. His work centers on developing and rigorously evaluating Virtual Reality (VR) and Mixed Reality (MR) interfaces for robot teleoperation, aiming to make remote control more efficient, intuitive, and accurate for complex tasks. Bai’s most impactful contribution, "Leveraging Enhanced Virtual Reality Methods and Environments for Efficient, Intuitive, and Immersive Teleoperation of Robots" (2021, 28 citations), critically assesses VR frameworks beyond simple scenarios, pushing the boundaries of what is achievable in remote manipulation. He further advances the field with "Robot-enabled tangible virtual assembly with coordinated midair object placement" (2022, 11 citations), introducing novel tangible interfaces for collaborative assembly. His work "Assessing the Suitability and Effectiveness of Mixed Reality Interfaces for Accurate Robot Teleoperation" (2020, 10 citations) provides foundational insights into the precision required for MR-based control. Through these studies, Bai has established himself as a key figure in designing and validating the next generation of teleoperation systems, directly impacting the future of remote manufacturing, surgery, and hazardous environment exploration.

Research Focus

Key Achievements

3
H-Index
3
Papers
49
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Leveraging Enhanced Virtual Reality Methods and Environments for Efficient, Intuitive, and Immersive Teleoperation of Robots
28 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Auckland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago