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先進機電整合實驗室

Advanced Mechatronics Laboratory (AML)

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LAB LEADER

WORAPHRUT

KORNMANEESANG

辜漢文

He was born in Bangkok, Thailand, in 1993. He ​received the B.Eng. degree in Control Systems and ​Instrucmentation Engineering from King Mongkut’s ​University of Technology Thonburi (KMUTT), Bangkok, ​Thailand, in 2015, and M.S. degree in Advanced ​Manufacturing Systems and the Ph.D. degree in ​Mechanical Engineering from National Chung Cheng ​University, Chiayi, Taiwan, in 2018 and 2022, ​respectively.

LAB MISSIONs

The missions of our laboratory are to advance robotics and mechatronics technologies and ​maximize the effectiveness and efficiency of automation systems through innovative motion planning ​and control, and dynamic analysis. We apply our expertise to the complex challenges of logistics ​and high-precision manufacturing tasks, training future scientists and engineers to make a ​significant impact on technology and industry.

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RESEARCH INTERESTs

Digital Network Technology Elements

MOTION PLANNING ​AND CONTROL

ROBOTICS

MECHATRONICS

NONLINEAR DYNAMICS ​AND CONTROL

MILLING PROCESSES

SYSTEM ​IDENTIFICATION

OPTIMIZATION ​APPLICATIONS

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Join us in the quest for engineering excellence.

PUBLICATIONS

  1. W. Kornmaneesang, S.-L. Chen and S. Boonto, “Contouring Control of an Innovative Manufacturing System Based on Dual-arm ​Robot,” in IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 2042-2053, July 2022, DOI: ​10.1109/TASE.2021.3073423. (SCI)
  2. W. Kornmaneesang and S.-L. Chen, “Time-optimal Feedrate Scheduling with Actuator Constraints for 5-axis Machining,” in The ​International Journal of Advanced Manufacturing Technology, vol. 119, no. 9, pp. 6789-6807, January 2022, DOI: 10.1007/s00170-​021-08033-y. (SCI)
  3. W. Kornmaneesang and S.-L. Chen, “MPC‐based robust contouring control for a robotic machining system,” in Asian Journal of ​Control, vol. 23, no. 3, pp 1212–1224, May 2021, DOI: 10.1002/asjc.2429. (SCI)
  4. G. Junplog, W. Kornmaneesang, S.-L. Chen, and S. Wongsa, "Modeling of an external force estimator for an end-effector of a robot ​by neural networks," to appear in Journal of the Chinese Institute of Engineers, vol. 46, no. 8. 2023. (SCI)


CONFERENCES

  1. W. Kornmaneesang, T.-C. Tsao, and S.-L. Chen, "Modeling and Stability Analysis of Robot-assisted Thin-walled Machining," in the ​IFAC World Congress 2023, Yokohama, Japan, July 9-14, 2023.
  2. W. Kornmaneesang and S.-L. Chen, “Parameter Identification of a Robot Manipulator with Nonlinear Friction Model,” in The Joint ​9th IFAC Symposium on Mechatronic Systems and 16th International Conference on Motion and Vibration Control (MS-MoViC ​2022), Los Angeles, USA, September 7-9, 2022.
  3. W. Kornmaneesang, S.-L. Chen, and S. Boonto, “Contouring Control of an Innovative Manufacturing System Based on Dual-arm ​Robot,” in The 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE 2022), Mexico City, ​Mexico, August 20-24, 2022.
  4. G. Junplod, W. Kornmaneesang, S.-L. Chen, and S. Wongsa, “Modeling of an External Force Estimator for an End-effector of a Robot ​by Neural Networks,” in The 18th International Conference on Automation Technology (Automation 2021), Kinmen, Taiwan, ​November 12-14, 2021.
  5. W. Kornmaneesang and S.-L. Chen, “Time-optimal Feedrate Scheduling with Joint Constraints for Robotic Machining,” in The 2021 ​International Automatic Control Conference (CACS 2021), Chiayi, Taiwan, November 3-6, 2021. (Best student award)
  6. G. Junplod, W. Kornmaneesang, S.-L. Chen, and S. Wongsa, “Modelling of an External Force Estimator for an End effector of a Robot ​by Neural Network,” in The 2019 2nd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics ​(ICA-SYMP 2021), Bangkok, Thailand, January 20-22, 2021.
  7. W. Kornmaneesang, and S.-L. Chen, “Time-optimal S-curve Motion Planning for a Tool Path with Multiple Surface Planes,” in The ​17th International Conference on Automation Technology (Automation 2020), Hualien, Taiwan, November 12-14, 2020.
  8. G. Junplod, W. Kornmaneesang, S.-L. Chen, and S. Wongsa, “Modelling of an External Force Estimator for an End effector of a Robot ​by Neural Network,” in The SICE Annual Conference 2020 (SICE 2020), Chiang Mai, Thailand, September 23-26, 2020.
  9. W. Kornmaneesang, and S.-L. Chen, “Time-optimal S-curve Motion Planning for a Tool Path,” in IEEE International Conference on ​Automation Science and Engineering (CASE 2020), Hong Kong, August 20-21, 2020.
  10. W. Kornmaneesang and S.-L. Chen, “Model Predictive Contouring Control of the Dual-Arm Robotic Machining System,” in The 2019 ​International Automatic Control Conference 2019 (CACS 2019), Keelung, Taiwan, November 14-16, 2019.
  11. W. Kornmaneesang, S.-L. Chen, and S. Boonto, “Contouring Control of a Free-Form Path for a Novel Machining System,” in The ​2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP 2019), Bangkok, ​Thailand, January 16-18, 2019.
  12. A. Pinitnanthakorn, S.-L. Chen, and W. Kornmaneesang. “Parameters Identification of Single-Arm Robot in Dual-Arm Robot System ​by Haar Wavelet and Particle Swarm Optimization.” in The 2018 IEEE International Automatic Control Conference (CACS 2018), ​Taoyuan, Taiwan, November 4-7, 2018.
  13. W. Kornmaneesang, and S.-L. Chen, “Contouring Control of a 5-DOF Dual-Arm Robot for Machining Based on Equivalent Errors,” in ​The 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2018), Auckland, New Zealand, July 9-​12, 2018, pp. 1349-1353, DOI: 10.1109/AIM.2018.8452287.
  14. T. Nuchkrua, W. Kornmaneesang, S.-L. Chen, and S. Boonto, "Precision contouring control of 5 DOF dual-arm robot manipulators ​with holonomic constraints." in The 2017 11th Asian Control Conference (ASCC 2017), Gold Coast, Australia, December 17-20, 2017, ​pp. 976-981, DOI: 10.1109/ASCC.2017.8287303.
  15. W. Kornmaneesang, T. Nuchkrua, and S.-L. Chen. "Contouring Control of a 5-DOF Robot Arm for Machining." in The 2017 IEEE ​International Automatic Control Conference (CACS 2017), Pingtung, Taiwan, November 12-15, 2017.

Courses

Signals & Systems

Modern Control

To introduce analog and digital ​signal processing, a topic that ​forms an integral part of ​engineering systems in many ​diverse areas, including seismic ​data processing, ​communications, speech ​processing, image processing, ​and consumer electronics.

To introduce modern approaches ​in controller design and system ​analysis in order to solve for more ​challenging real-world control ​problems. Key contents include: ​Linear Quadratic (LQ) control, ​Kalman fiter, and Robust control.

Engineering ​Mathematics (III)

Applied Electronics

To introduce advanced ​mathematical tools to solve ​for more complex ​engineering problems that ​conventional mathematical ​tools are ineffective. Key ​contents cover: Numerical ​analysis, Probability and ​Statistics, and Optimization.

To introduce ​semiconductor-based ​electronic devices and their ​real-world applications ​such as AC-DC converters, ​active filters, oscillation ​generators, and signal ​amplifiers.

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Talk To Us

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CONTACT US

TE​L

02-7749-3505

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OFFICE

Mechanical Building TC210