Papers

1

Total Citations

10

H-Index

1

About

Suyash Yeotikar is a researcher at the intersection of robotics, computer vision, and medical automation, with a primary focus on enhancing precision in surgical procedures. His most-cited work, "Automation of end effector guidance of robotic arm for dental implantation using computer vision" (2016, 10 citations), addresses a critical challenge in dentistry: the high dexterity and precaution required for drilling holes in the human jaw during implant placement. By integrating computer vision with robotic arm guidance, Yeotikar contributed to automating this delicate sub-task, reducing human error and improving procedural accuracy. This work highlights his broader contributions to developing intelligent, vision-guided robotic systems for medical applications. Though his citation count is modest, his research represents an early and impactful step toward safer, more reliable automated surgical assistance, particularly in fields where millimeter-level precision is paramount. Yeotikar’s efforts underscore the growing role of robotics in transforming traditional medical practices, offering a glimpse into a future where human skill is augmented by machine precision.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Automation of end effector guidance of robotic arm for dental implantation using computer vision
10 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Birla Institute of Technology and Science - Hyderabad Campus

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago