National Taiwan University

Autonomous & Soft Robotics Laboratory

Chung-Hsien Kuo
http://asrlab.me.ntu.edu.tw/

Research Field

Control Engineering

Introduction

Dr. Chung-Hsien Kuo received his Ph.D. degree in mechanical engineering from National Taiwan University, in 1999. Dr. Kuo is with the National Taiwan University, where he is currently a Professor in the Department of Mechanical Engineering. He is hosting the Autonomous & Soft Robotics Laboratory (ASR Lab.), and his research interests include autonomous systems, novel soft robot design, advanced control systems, computer vision, machine learning, and autonomous manipulation.  Dr. Kuo is active in academic societies. Dr. Kuo served as the Vice Director of the Technical Committee on Medical Mechatronics of the IEEE SMC Society from 2006; the board members of Chinese Institute of Automation Engineers (from 2016), Chinese Automatic Control Society (from 2017), Taiwan Association of Systems Science and Engineering (from 2021) and Robotics Society of Taiwan (from 2009). Dr. Kuo was the President of Robotics Society of Taiwan (RST) during 2020 January to 2023 November. 

The research topics of the Autonomous and Soft Robotics Laboratory (ASR Lab.) focuses on theoretical exploration and practical applications of autonomous systems and soft robotic manipulators. The ASR Lab's research interests consist of autonomous systems, soft robot design, humanoid robots, quadruped robots, computer vision, and machine learning.  Our laboratory develops intelligent autonomous systems by introducing advanced artificial intelligence technology, deep learning, reinforcement learning, machine vision, sensor fusion, simultaneous localization and mapping (SLAM), and human-computer interaction methods and technologies to perform autonomous operations of robots and unmanned aerial vehicles. On the other hand, the soft robotic researches focus on novel soft robot design and control approaches, mainly including continuum robots, concentric tube robots and soft robot palms. Finally, the soft robotic manipulators developed in our laboratory can be further combined with the aforementioned autonomous system methods and technologies to improve the overall system's autonomy.


Research Topics

Autonomous systems, soft robot design, humanoid robots, quadruped robots, computer vision, and machine learning. 


Honor

2025, Outstanding Research Award, National Science and Technology Council, Taiwan

2024, Tech Innovation Excellence Award, National Science and Technology Council, Taiwan


Educational Background

Master and Ph.D. degrees from Mechanical Engineering, National Taiwan University, Taiwan in 1995 and 1999, respectively.