Papers

2

Total Citations

18

H-Index

2

About

Han Bo’s research focuses on advancing human-robot collaboration (HRC) and robotic control strategies for industrial applications, particularly in manufacturing and finishing operations. His work bridges the gap between autonomous robotic systems and human-guided precision tasks, addressing critical challenges in tooling path guidance and surface finishing. His most-cited paper, “Human-robot collaboration for tooling path guidance” (2016, 12 citations), explores how HRC can enhance efficiency and safety in industrial settings, moving robots from isolated workspaces to collaborative roles alongside humans. This contribution is foundational for modern flexible manufacturing. In his second key work, “Review of robotic control strategies for industrial finishing operations” (2015, 6 citations), Han systematically evaluates position and force control methods for tasks like polishing and deburring, where precise tool positioning and contact force are essential. By synthesizing these strategies, he provides a roadmap for improving product quality and process reliability. Though his citation counts reflect a focused, early-career impact, Han’s work is notable for its practical orientation—directly informing real-world automation solutions. His research is particularly valuable for students and engineers seeking to understand how collaborative robotics can transform traditional manufacturing workflows, making him a rising voice in industrial robotics and human-robot interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Human-robot collaboration for tooling path guidance
12 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Nanyang Technological University, Rolls-Royce (Sweden)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago