Seongun Bu

Ajou University

Papers

1

Total Citations

5

H-Index

1

About

Seongun Bu is a rising figure in physical human–robot interaction, with a focus on enabling robots to safely and intuitively sense and respond to contact across arbitrary surfaces. His most-cited work, "Arbitrary Surface Contact Sensing Method for Physical Human–Robot Interaction" (2024, 5 citations), introduces a novel intrinsic sensing approach that leverages six-axis force/torque information to detect contact on any surface, modeled as a triangle mesh. By searching for the contacted triangle and predicting contact forces, Bu’s method eliminates the need for external tactile sensors, significantly advancing the robustness and versatility of robotic touch in unstructured environments. This contribution is foundational for applications in collaborative robotics, prosthetics, and assistive devices, where safe, compliant interaction is critical. Though early in his career, Bu’s work has already garnered attention for its elegant solution to a longstanding challenge in contact sensing. His research promises to shape the next generation of human-aware robots, making physical collaboration more natural and secure.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Arbitrary Surface Contact Sensing Method for Physical Human–Robot Interaction
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Ajou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago