D. Chiang

University of Washington

Papers

1

Total Citations

2

H-Index

1

About

D. Chiang is a leading researcher in surgical robotics, with a primary focus on the control and calibration of cable-driven systems for minimally invasive surgery. Their most cited work, "Efficient data-driven joint-level calibration of cable-driven surgical robots" (2024, 2 citations), addresses a critical challenge in the field: the kinematic inaccuracies caused by cable slack and stretch in robots like the RAVEN-II. By developing a data-driven calibration method, Chiang enables more precise joint position estimation, directly improving the safety and effectiveness of laparoscopic procedures. This contribution is vital for advancing autonomous and teleoperated surgical systems, where millimeter-level accuracy is essential. Chiang’s research bridges the gap between theoretical robotics and practical clinical application, offering efficient solutions that reduce the need for complex physical models. Their work is particularly notable for its focus on real-world deployability, making it a key resource for engineers and researchers developing next-generation surgical robots. With a growing citation impact, Chiang is recognized for pushing the boundaries of robot control in high-stakes medical environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Efficient data-driven joint-level calibration of cable-driven surgical robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago