Abhinav Gulhar
Papers
1
Total Citations
7
H-Index
1
About
Abhinav Gulhar is a researcher whose work sits at the critical intersection of robotics and medical imaging, with a focus on enhancing the precision and safety of human-robot collaboration in clinical settings. His most-cited paper, "Registration of a robotic system to a medical imaging system" (2015), addresses a foundational challenge in computer-assisted surgery: accurately aligning a robot’s coordinate space with pre-operative or intra-operative imaging data. This contribution is vital for enabling robots to work in close proximity to patients and clinicians, moving beyond industrial cages into cooperative, real-time surgical environments. While his citation impact is still growing—with 7 citations on this key work—Gulhar’s research lays essential groundwork for the next generation of medical robotics, where seamless registration between imaging and robotic systems is a prerequisite for safe, effective procedures. His work resonates with the broader shift toward collaborative robots that assist rather than replace human expertise, making him a notable voice in the emerging field of human-robot cooperative surgery.
Research Focus
Key Achievements
Top Papers
- 1Registration of a robotic system to a medical imaging system7 citations · 2015