Sakol Nakdhamabhorn

About

Sakol Nakdhamabhorn is a robotics researcher whose work spans two compelling and life-saving domains: disaster rescue robotics and robot-assisted surgical systems. With a career beginning in the late 2000s, his early contributions focused on designing autonomous and teleoperated robots capable of navigating rough terrain during disaster scenarios, culminating in foundational work on rescue robot design and motion control that has accumulated over 27 citations combined. His 2024 collaborative study on heterogeneous robot systems for disaster risk management (20 citations) reflects his enduring commitment to advancing multi-robot coordination in humanitarian crises. Equally significant is Nakdhamabhorn's growing influence in medical robotics. His sensorless haptic feedback system for robot-assisted pedicle screw insertion in spinal surgery—garnering 15 citations shortly after publication—demonstrates both technical innovation and clinical relevance, addressing real surgical challenges of limited visibility and precision. Further contributions in minimally invasive surgical manipulators, fluoroscopic image calibration for orthopedic procedures, and bio-inspired needle tracking systems underscore his interdisciplinary breadth. Collectively, his work—totaling over 70 citations—positions him as a versatile and impactful researcher bridging autonomous robotics with precision medical engineering.

Research Focus

Key Achievements

Top Papers

1. 1
   On the design and development of a rough terrain robot for rescue missions

   22 citations · 2009
2. 2
   A heterogeneous robots collaboration for safety, security, and rescue robotics: e-ASIA joint research program for disaster risk and reduction management

   20 citations · 2024
3. 3
   Sensorless Based Haptic Feedback Integration In Robot-assisted Pedicle Screw Insertion For Lumbar Spine Surgery: A preliminary cadaveric study

   15 citations · 2024
4. 4
   Enforced acceleration control for DC actuated rescue robot

   5 citations · 2016
5. 5
   Design and development of sensorless based 5-DOF bilaterally controlled surgical manipulator: A prototype

   5 citations · 2021
6. 6
   Hybrid Image-Based Motion Tracking and Adaptive Polynomial Kalman Filter for a Bio-Inspired Dual-Sheath Needle System

   2 citations · 2024
7. 7
   System integration of a fluoroscopic image calibration using robot assisted surgical guidance for distal locking process in closed intramedullary nailing of femur

   2 citations · 2019

Key Collaborators

Contact & Links