Lunchakorn Wuttisittikulkij

About

Lunchakorn Wuttisittikulkij is a leading researcher in robotics, cyber-physical systems, and digital twin technology, with a focus on advancing automation in manufacturing and agriculture. Their major contributions include developing a digital twin framework for a collaborative painting robot, which simulates and optimizes the entire painting process to enhance precision and safety, as demonstrated in a highly cited 2022 paper (27 citations). They have also pioneered robust optimal design methods for Fractional-Order PID (FOPID) controllers in five-bar linkage robots within cyber-physical systems, improving reliability by aligning simulation with real-world conditions (19 citations). Additionally, Wuttisittikulkij advanced surrogate-based tolerance quantification using modified polynomial regression to efficiently analyze manufacturing uncertainties (14 citations). Their work extends to hardware-software co-design for farming robots and multipurpose agricultural platforms, addressing food security and labor challenges. With a growing citation impact, their research bridges theoretical innovation and practical deployment, notably in CPS and digital twin applications, making them a key figure in intelligent automation and precision agriculture.

Research Focus

Key Achievements

Top Papers

1. 1
   Digital Twin for a Collaborative Painting Robot

   27 citations · 2022
2. 2
   Robust optimal design of FOPID controller for five bar linkage robot in a Cyber-Physical System: A new simulation-optimization approach

   19 citations · 2020
3. 3
   Expedited surrogate-based quantification of engineering tolerances using a modified polynomial regression

   14 citations · 2023
4. 4
   Hardware Software Co-Design of a Farming Robot

   7 citations · 2020
5. 5
   Multipurpose Agricultural Robot Platform

   4 citations · 2020

Key Collaborators

Contact & Links