Gaurav Bhutani

About

Gaurav Bhutani is a leading researcher at the intersection of robotics, autonomous systems, and neurosurgery, with a primary focus on developing high-precision, robot-assisted methods for intracranial applications. His work centers on autonomous neuro-registration and neuronavigation, where he has pioneered techniques to eliminate the need for manual stereotactic frames, significantly improving accuracy and safety in neurosurgical procedures. Bhutani’s most cited paper, "Robot-Based Autonomous Neuroregistration and Neuronavigation" (2019), with 11 citations, demonstrates his foundational contributions to real-time, marker-based anatomical registration. He has also advanced forward kinematic algorithms for parallel robots, enabling real-time control for tele-manipulation and tele-navigation, as seen in his 2024 work. His research on robust marker detection using the Taguchi method and CT-independent pedicle-screw axis determination (2025) showcases his commitment to practical, machine-independent solutions for operating room challenges. With over 50 cumulative citations across his top ten papers, Bhutani’s impact is evident in his ability to bridge theoretical robotics with clinical neurosurgery, offering autonomous, high-precision tools that enhance surgical outcomes and reduce human error.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot-Based Autonomous Neuroregistration and Neuronavigation: Implementation and Case Studies

   11 citations · 2019
2. 2
   Autonomous neuro-registration for robot-based neurosurgery

   8 citations · 2018
3. 3
   Modeling design and development of frameless stereotaxy in robot assisted neurosurgery

   8 citations · 2015
4. 4
   Validation of High Precision Robot-Assisted Methods for Intracranial Applications: Preliminary Study

   5 citations · 2020
5. 5
   Novel and Robust Forward Kinematic Algorithm for Real-Time Control of General Six-Degree-of-Freedom Parallel Robot for Tele-Manipulation and Tele-Navigation

   4 citations · 2024
6. 6
   Robust marker detection and high precision measurement for <scp>real‐time</scp> anatomical registration using Taguchi method

   4 citations · 2020
7. 7
   Image-Based Data Preparation for Robot-Based Neurosurgery

   4 citations · 2018
8. 8
   Wrench perception in intermediary telepresence for remote manipulation

   3 citations · 2015
9. 9
   Generalized Point Correspondence Algorithm for Neuro-Registration

   2 citations · 2018
10. 10
    Autonomous Establishment of CT‐Independent Sections to Obtain Optimum Pedicle‐Screw Axis in Direction, Length, and Safety Margin

    1 citations · 2025

Key Collaborators

Contact & Links