Sharan Ravigopal

I am a Robotics Controls Lead and a Georgia Tech Ph.D. Robotics grad specializing in Autonomous Surgical Intervention, Physical AI, and Real-time Control.

My research bridges the gap between high-level AI perception and low-level mechanical control, specifically for micro-scale medical robotics. Currently, I lead a multidisciplinary engineering team in industry, deploying GPU-accelerated perception models and autonomous navigation systems on Edge-AI hardware for UAVs. I’m passionate about translating surgical robotics from lab to clinical practice

I received my PhD in Robotics from Georgia Tech advised by Jaydev P. Desai, and my Masters’ in Electrical and Mechanical Engineering and a Bachelor’s in Mechanical Engineering and Computer Science from the same university.

Key Research Interests

• Medical Robotics: Design and control of steerable continuum robots and guidewires.
• Embodied AI: Real-time perception and autonomous decision-making for surgical tasks.
• Control Theory: Variable stiffness control and data-driven non-linear control.

Recent News

• [2025] Joined Raphe mPhibr, a high-growth UAV startup as a Robotics Controls Engineer to advance autonomous navigation abilities.
• [2025] Best Paper Award in ICRA 2025 Workshop on Medical Robotics.
• [2025] Graduated from the Robotics PhD program at Georgia Tech.
• [2024] Honored as a Topping Fellow at Georgia Tech (Top 5% of CoE PhDs by impact).
• [2023] Invited Talk at Harvard Medical School (NCIGT) on Surgical Intelligence.

Email: [firstname].[lastname] [at] gmail.com

Selected Research & Media

Raphe mPhibr: UAV/Drones

Surgical Robotic Guidewires

Autonomous Navigation

Mitral Valve Robot

Guidewire for Radial Access Neurosurgery