Chowarit Mitsantisuk

About

Chowarit Mitsantisuk is a prominent robotics and control systems researcher whose work has profoundly shaped the fields of human-robot interaction, haptic technology, and motion control. His research centers on force and position control, disturbance observer design, and sensor integration — areas where he has made lasting methodological contributions that bridge theoretical rigor and practical application. Mitsantisuk's most influential work focuses on leveraging Kalman filter techniques to enhance force estimation and bilateral control in haptic systems, with his 2011 paper on action/reaction force estimation accumulating over 110 citations. His development of twin direct-drive motor systems for safe, compliant human-robot interaction — cited over 76 times — demonstrated innovative approaches to variable power assistance and human stiffness estimation, reflecting a sustained commitment to safe collaborative robotics. Beyond interaction control, he has made significant advances in flexible robot systems, introducing resonance ratio control and multi-encoder parameter estimation to address the complexities of two-mass mechanical systems. His integration of disturbance observers with Kalman filters, highlighted in a widely cited 2017 review, has become a reference framework for motion control researchers worldwide. With a body of work spanning sensorless force control, wire-tension robotics, and FPGA-based sensing, Mitsantisuk's research collectively represents a comprehensive and highly cited contribution to intelligent, human-centered robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Estimation of Action/Reaction Forces for the Bilateral Control Using Kalman Filter

   110 citations · 2011
2. 2
   Force Control of Human–Robot Interaction Using Twin Direct-Drive Motor System Based on Modal Space Design

   76 citations · 2009
3. 3
   Kalman-Filter-Based Sensor Integration of Variable Power Assist Control Based on Human Stiffness Estimation

   66 citations · 2009
4. 4
   Design for Sensorless Force Control of Flexible Robot by Using Resonance Ratio Control Based on Coefficient Diagram Method

   60 citations · 2013
5. 5
   Control of Interaction Force of Twin Direct-Drive Motor System Using Variable Wire Rope Tension With Multisensor Integration

   48 citations · 2011
6. 6
   Disturbance Observer and Kalman Filter Based Motion Control Realization

   43 citations · 2017
7. 7
   Variable mechanical stiffness control based on human stiffness estimation

   17 citations · 2011
8. 8
   Parameter estimation of flexible robot using multi-encoder based on disturbance observer

   17 citations · 2012
9. 9
   Position and Force Control of the SCARA Robot Based on Disturbance Observer

   14 citations · 2016
10. 10
    FPGA-based wideband force sensing with Kalman-filter-based disturbance observer

    12 citations · 2010

Key Collaborators

Contact & Links