Chakravarthy Reddy

University of Utah

Papers

2

Total Citations

6

H-Index

2

About

Chakravarthy Reddy is a researcher focused on advancing medical robotics, with a particular emphasis on the motion planning and control of steerable needles. His work addresses a critical challenge in minimally invasive surgery: enabling needles to navigate safely around sensitive anatomical structures to reach difficult-to-target clinical sites. Reddy’s major contribution lies in developing a shaft-to-tissue force model that improves the safety and accuracy of steerable needle insertion. By accounting for the physical interactions between the needle shaft and surrounding tissue, his model helps predict and mitigate unintended deviations, reducing the risk of tissue damage during curved trajectories. His most-cited papers, published in 2021 and 2023, have together garnered 6 citations, laying foundational groundwork for safer robotic interventions. This research holds significant promise for procedures such as biopsies, drug delivery, and brachytherapy, where precision and tissue preservation are paramount. Reddy’s work represents a key step toward making steerable needle technology more reliable and clinically viable.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Safer Motion Planning of Steerable Needles via a Shaft-to-Tissue Force Model
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Utah

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago