Yuang Tong

University of Washington

Papers

1

Total Citations

4

H-Index

1

About

Yuang Tong is a pioneering researcher at the intersection of virtual reality (VR) and robotics, with a primary focus on developing intuitive, immersive interfaces for human-robot interaction. Their most cited work, "Virtual Reality-based Human-Robot Interaction for Remote Pick-and-Place Tasks" (2024, 4 citations), introduces a groundbreaking approach that leverages the Meta Quest 2 headset to enable operators to remotely control robotic arms for complex pick-and-place operations. This research addresses critical challenges in teleoperation by creating a more natural and engaging control environment, significantly reducing the cognitive load on users while improving task precision and efficiency. Tong's contributions are particularly notable for bridging the gap between consumer-grade VR technology and industrial robotics, making advanced teleoperation more accessible and cost-effective. Their work has immediate applications in hazardous environments, remote manufacturing, and assistive technologies, positioning Tong as an emerging leader in the field of VR-enhanced robotics. This research represents a significant step toward seamless, intuitive human-robot collaboration in real-world scenarios.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Reality-based Human-Robot Interaction for Remote Pick-and-Place Tasks
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago