Baichuan An
Papers
3
Total Citations
21
H-Index
2
About
Baichuan An is a robotics researcher whose work bridges the critical gap between precision engineering and real-world medical and assistive applications. His primary research areas include medical robotics, particularly fracture reduction systems, and human-robot interaction for assistive care. An’s most significant contributions lie in enhancing the accuracy and safety of parallel-mechanism fracture reduction robots (FRR). His 2022 study on pose error analysis and compensation (10 citations) established a foundational method for correcting trajectory deviations caused by mechanical errors, directly improving surgical outcomes. Building on this, his 2023 work (9 citations) introduced an improved sparrow search algorithm for FRR controller optimization, achieving safer and more stable folding motions through bio-inspired computational methods. Most recently, An has ventured into assistive robotics for aging populations, applying deep learning to semantic segmentation for bath scrubbing robots (2024, 2 citations)—a novel approach to recognizing human features in challenging environments. His work demonstrates a clear progression from theoretical error modeling to practical, life-enhancing applications, positioning him as a rising contributor to both surgical robotics and eldercare technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3