Guangkai Wang

Papers

1

Total Citations

2

H-Index

1

About

Guangkai Wang is a researcher specializing in haptic feedback systems and teleoperation technologies, with a particular focus on applications in hazardous environments such as nuclear spent fuel post-processing. His most-cited work, "Haptic-Based Isomorphic Teleoperation System for Nuclear Spent Fuel Post-process" (2023), introduces an innovative isomorphic control framework that enhances operator precision and safety by providing realistic tactile feedback during remote manipulation of radioactive materials. This contribution addresses critical challenges in nuclear waste management, where direct human intervention is impossible. Though early in his career, Wang's research bridges robotics, human-machine interaction, and nuclear engineering, laying groundwork for safer, more intuitive teleoperation systems. His work has already garnered attention for its practical implications in reducing operator error and improving task efficiency in high-stakes environments. As the field advances toward autonomous and semi-autonomous systems, Wang's focus on isomorphic haptic feedback positions him as a rising contributor to next-generation remote handling technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Haptic-Based Isomorphic Teleoperation System for Nuclear Spent Fuel Post-process
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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