Intelligent Systems Laboratory, EE, NTUT

AI, Robotics, Vision, and Automation

ISL+AI+RVA

Recruiting new graduates for Fall 2018




 

The Intelligent Systems Laboratory (ISL) was established in Fall 1997 by Dr. Wen-Chung Chang for experimental and theoretical research in intelligent control systems.

ISL was initially affiliated with National Dong Hwa University. Starting in Fall 2001, ISL was transferred to National Taipei University of Technology. Located in Complex Building Room 504-1, ISL is a well-equipped research laboratory that houses theoretical and experimental research in vision, robotics, and control. We have a KUKA five-axis youBot, a high-payload ITRI six-axis industrial robotic manipulator Q300, and a fleet of commercial (Pioneer & Dr Robot) and custom-made mobile robots. In addition, we have a variety of sensing systems, contact sensing (e.g. six-axis force sensor) and non-contact sensing (e.g. camera), employed for controlling the industrial manipulator and mobile robots precisely and developing real-time autonomous intelligent control systems. In addition, ISL has been dedicated to research on AI and deep learning architecture employed on robotics, vision, and automation systems.

Currently, ISL is working on several research projects including versatile robotic random picking and assembly system for MOST, 3D point cloud matching and inspection for ITRI, and high-precision control for medical treatment for Mackay Hospital.  All students graduated from this laboratory in the past years have shown outstanding performance not only in academic institutes but also in world-wide industry.  Welcome to join us for learning and doing research together.

If you are interested in pursuing your Master's/Ph.D. degrees or doing your undergraduate projects with us, you are cordially invited to visit ISL and join us. International students are especially welcome to join our group and there have been graduate students from Vietnam and Indonesia. Please contact 

Prof. Chang, Tel: +886-2-2771-2171 ext. 2125, E-mail: wchang@ntut.edu.tw 

or talk to our representative Mr. Chia-Hung Wu, Tel: +886-2-2771-2171 ext. 2130, E-mail: chiahung.wu@ntut.edu.tw.

Your email might be recognized as spam if you don’t hear from us soon. Please call to confirm.

Recruitment is open for new doctoral, master’s, and undergraduate project students. 

Visit ISL YouTube Channel and Facebook Page:
YouTube
 Facebook

News

Congratulations!!
  • Hsin Cheng,  Kuan-Ying Chiu, Zhong-Yun Hu and Jun-Yong Lin participated in 2017 EE Project Competition. Their team project "Smart Bike Lock", supervised by Prof. Wen-Chung Chang, Ph.D., received the First Winner Award. 
  • Xin-You Chen, Kevin Zheng and Hao Yang participated in 2017 EE Project Competition. Their team project "Autonomous Path Following Control of a Blackboard Cleaning Robot with Gravity Compensation", supervised by Prof. Wen-Chung Chang, Ph.D., received the Runner-Up Award.
  • Jun-Jie Yang, Hongda Lin and Yu-Shun Zhuang participated in 2017 EE Project Competition. Their team project "A Smart Personal Service Robot", supervised by Prof. Wen-Chung Chang, Ph.D., received the Outstanding Award.
  • Prof. Wen-Chung Chang, Ph.D. has been promoted to full professor.
  • Jia-Ying Xu and You-Xiang Liang participated in "2016 National Collage Industry-Academia Innovation Implementation Competition".Their team project "Rehabilitation for the Elderly with Monocular Visual Servoing", received the "Best Innovation Award" and gave an interview to "NCCU UONLINE NEWS", the news is published on "NCCU UONLINE NEWS" 1641th.
  • More..

Videos

Window Cleaning Robot

Participated in 2011 Annual Technical and Vocational Students Competition. This team became First Winner for Electrical Engineering Division with their project "Window Cleaning Robot", supervised by Prof. Wen-Chung Chang, Ph.D. The competition is organized by Department of Technical and Vocational School, Ministry of Education, Republic of China.

Face-tracking  Aerial Robot for Self-portrait





 Automatic Cellular Phone Assembly

VSLAM for Mobile Robot Navigation


  Hybrid Force and Vision-Based Contour Following

Online Boosting for Vehicle Detection

Other Videos


Ministry of Education propose policy "31K Program"
[FTV News]To increase low-income which youth always get,Ministry of Education propose policy "31K Program".
The student of our lab was interviewed to express his
views.