Seng Lee Koh

Papers

1

Total Citations

2

H-Index

1

About

Seng Lee Koh is a researcher in human-robot interaction, with a focus on developing intuitive and accessible teleoperation methods for heterogeneous robot teams. His work bridges the gap between traditional control interfaces and natural human movement, exploring how full-body and hand gestures can enable more effective multi-robot control. In his most cited study, Koh conducted a within-subjects user study comparing conventional PC and game console input hardware against a 3D spatial interaction interface, demonstrating the potential of gesture-based teleoperation for managing multiple robots. This research contributes to making robot control more natural and reducing the cognitive load on operators, with implications for search-and-rescue, manufacturing, and collaborative robotics. While his citation count is still growing, Koh's work represents an important step toward more human-centered robot interfaces, challenging the dominance of traditional input methods and opening new possibilities for how humans can intuitively command robotic systems in complex, real-world environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Exploring the Potential of Full Body and Hand Gesture Teleoperation of Robots Inside Heterogeneous Human-Robot Teams
2 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago