Papers

7

Total Citations

60

H-Index

4

About

Digesh Chitrakar is a robotics researcher whose work bridges surgical robotics, haptic feedback, and legged locomotion. His primary research areas include medical image segmentation for robot-assisted minimally invasive surgery, vision-based force sensing, and teleoperation of legged robots. Chitrakar’s major contributions center on improving the accuracy and robustness of surgical tool segmentation in endoscopic images. He pioneered a local style preservation method within GAN-driven synthetic image generation (19 citations) and developed a pose-informed morphological polar transform that enhances segmentation by converting rigid tool shapes into more consistent rectangular morphologies (10 citations). His work on characterizing the limits of vision-based force feedback in simulated surgical tool-tissue interaction (11 citations) has helped define the boundaries of haptic simulation fidelity. Beyond surgery, Chitrakar has explored telelocomotion—the remote operation of legged robots (10 citations)—and developed active oscillatory actuation techniques for contact sensing and localization in collaborative robotics. His research demonstrates a consistent focus on enabling safer, more precise human-robot interaction across both medical and field robotics applications, with cumulative citations exceeding 60.

Research Focus

Key Achievements

4
H-Index
7
Papers
60
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Local Style Preservation in Improved GAN-Driven Synthetic Image Generation for Endoscopic Tool Segmentation
19 citations · 2021
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: College Summit, Trinity College, Hartford Financial Services (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago