Bin Shu

Northeastern University

Papers

2

Total Citations

36

H-Index

2

About

Bin Shu is a leading researcher in the fields of robotic machining and ultrasonic surgical technology, with a focus on enhancing precision and safety in manufacturing and medical applications. His work on the optimization of redundant degrees of freedom in robotic milling has been pivotal in improving chatter stability, a critical challenge in high-precision machining. This research, cited 20 times, offers novel strategies for dynamic control in multi-axis robots. Shu also developed an indirect measurement method for ultrasonic bone cutting force, using anti-node vibration displacement to non-invasively assess cutting forces during surgery. This 2023 study, with 16 citations, has significant implications for safer orthopedic procedures, reducing tissue damage and improving surgical outcomes. His contributions bridge mechanical engineering and biomedical innovation, demonstrating a unique ability to translate complex dynamics into practical solutions. Shu’s work is widely recognized for its impact on both industrial robotics and medical device design, making him a key figure in advancing smart manufacturing and surgical robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Optimization of redundant degree of freedom in robotic milling considering chatter stability
20 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Northeastern University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago