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한국교통대학교 웹사이트 입니다.

Department of AI Robotics Engineering images
Department of AI Robotics Engineering

 

We sincerely welcome all of you who have visited the AI Robotics Engineering department’s website.

 

Hello and welcome. Thank you for visiting the AI Robotics Engineering department at the Korea National University of Transportation. Our department was established in 2021 with the goal of cultivating specialized talent in the field of AI robotics, in response to the increasing demand for skilled professionals in intelligent robots and artificial intelligence industries. We aim to create new businesses in the AI and robotics sectors, enabling the design and development of service robots, collaborative robots, medical robots, intelligent robots, field robots, and more, by merging the disciplines of mechanical engineering, electrical and electronic engineering, software development, and industrial design. If you are a current student at Korea National University of Transportation with an interest in artificial intelligence and robotics, anyone is welcome to participate.

 

With the support of local government-university collaboration for regional innovation projects, we have newly established smart classrooms and experimental laboratories on the 1st floor of the Future Convergence Information Building. To facilitate experiments and practical training in the field of artificial intelligence and robotics, we have introduced deep learning workstations, IoMT-based medical robots, and motion systems for gait analysis. In the future, we plan to continue building various laboratories and equipment for education in the fields of artificial intelligence and robotics.

 

The AI Robotics Engineering department maintains a balanced curriculum of theory and hands-on education. We offer practical training that aligns with industry demands, allowing students to directly design and develop artificial intelligence algorithms and robots applied in the fields of the Fourth Industrial Revolution and biotechnology. Through this process, we aim to educate students to become specialized AI robot professionals. Additionally, we provide various extracurricular programs to support students in learning software and hardware technologies used in the fields of artificial intelligence and robotics.

 

We kindly request your continued interest and encouragement to further the development of the AI Robotics Engineering department.

 

Thank you.

 

The head of the AI robotics Engineering Department

 

    • Tel 043-841-5862
    • Fax 043-841-5180
Introduction

Introduction

The AI Robotics Engineering department was established in 2021 with the goal of fostering specialized talent in the field of AI robotics, capable of creating new businesses in the artificial intelligence and robotics sectors in response to the increasing demand for skilled professionals in intelligent robots and artificial intelligence. This department focuses on the design and development of service robots, collaborative robots, intelligent robots, and field robots.

 

The program operates in the form of an interdisciplinary department targeting students with varying majors but shared interests in artificial intelligence and robotics. Professors and students from diverse fields such as mechanical engineering, electrical and electronic engineering, computer science, industrial design, and more participate in this program.

 

Graduation requirements

Graduation project through completion of Capstone design course(1st semester of 4th grade)

  

The AI Robotics Engineering department was established in 2021 with the goal of fostering specialized talent in the field of AI robotics, capable of creating new businesses in the artificial intelligence and robotics sectors in response to the increasing demand for skilled professionals in intelligent robots and artificial intelligence. This department focuses on the design and development of service robots, collaborative robots, intelligent robots, and field robots.

 

The program operates in the form of an interdisciplinary department targeting students with varying majors but shared interests in artificial intelligence and robotics. Professors and students from diverse fields such as mechanical engineering, electrical and electronic engineering, computer science, industrial design, and more participate in this program.

 

Professor
Seong-Youb Chung images
Professor Seong-Youb Chung
Major field Robotics
  • Tel 043-841-5124
  • Fax 043-841-5120
  • Email sychung@ut.ac.kr
Hyuk-Soo Lee images
Professor Hyuk-Soo Lee
Major field product/UX design planning and design
  • Tel 043-841-5736
  • Email hsoo@ut.ac.kr
Il-Song Kim images
Professor Il-Song Kim
Major field Automatic control
  • Tel 043-841-5142
  • Email iskim@ut.ac.kr
Du-Soon Choi images
Professor Du-Soon Choi
Major field
  • Tel 043-841-5128
  • Email dschoi@ut.ac.kr
Woo-Seok Choi images
Professor Woo-Seok Choi
Major field
  • Tel 043-841-5132
  • Email w.choi@ut.ac.kr
Young-Woo Kim images
Professor Young-Woo Kim
Major field Robotics
  • Tel 043-841-5149
  • Email ywkim@ut.ac.kr
Man-bok Park images
Professor Man-bok Park
Major field AI electronic control chassis system for autonomous vehicles
  • Tel 043-841-5369
  • Email ohnnuri@ut.ac.kr
Jung-Hwan Gwak images
Professor Jung-Hwan Gwak
Major field Machine learning, deep learning, computer vision, biomedical data analysis
  • Tel 043-841-5852
  • Email jgwak@ut.ac.kr
 images
Professor
Major field UX design
  • Tel 043-841-5738
  • Email yykim @ut.ac.kr
Won-Seok Lee images
Professor Won-Seok Lee
Major field Medical engineering
  • Tel 043-841-5151
  • Email wslee@ut.ac.kr
Sang-Shin Park images
Professor Sang-Shin Park
Major field Robotics
  • Tel 043-841-5126
  • Email spark@ut.ac.kr
Curriculum
게시물 검색
Curriculum table - No, Grade, Semester, Subject name, Credit and time, Explanation
No. Grade Semester Subject name Credit and time Explanation
29 3 1 Computer equipment design 3-3-0 Understand and interpret the principles of composition and motion of the instruments constituting the machine schematically, understand the principles of complex instrument composition, and further develop the ability to apply them to design.
28 3 1 Robot programming 2-1-2 It mainly uses ROS (Robot OS), which consists of a software framework for robot development, and cultivates the ability to program itself through various robot applications.
27 3 1 Introduction to Robotics 3-3-0 To understand the spatial representation of robot motion, we learn about coordinate transformation and learn how to model robots using parameters such as joint angle, link length, etc. Learn the basic concepts of the elements necessary for the actual work of the robot and enhance understanding of the robot through simulation using Matlab and others.
26 3 1 Biosensor engineering 3-3-0 Learn the basic principles and application cases of sensor technology, and learn biosensors that can measure characteristics using organic compounds, bio-related compounds, or microbial reactions.
25 3 1 A microprocessor 2-1-2 Learn basic microprocessor applications for developing robots such as sensors, motors, and communication using Arduino and Raspberry Pi.
24 3 1 Python Foundation 3-3-0 This subject learns the basics of Python language and the concept of Pythonic code, and introduces programming concepts and techniques such as object-oriented programming. In addition, basic data handling methods for data analysis, such as processing, summarizing, and visualizing data using Python, are learned through practice. In particular, it is possible to learn the Numpy and Pandas modules in depth.
23 3 1 Field Practice I 3-3-0 This subject fosters practical skills through field practice at institutions where AI robot majors can be employed, such as AI robot-related companies and research institutes.
22 3 2 Dynamics and Applications 3-3-0 Newton's laws of motion, work and energy, shock and momentum principles are interpreted through basic dimensions to understand the mechanical basic concept of motion, and the mechanical interpretation concept of moving objects by identifying the motion of the point.
21 3 2 Robot Simulation 2-1-2 Using Matlab and ROS, robots are configured and viewed on a program, and physics-based three-dimensional simulation methods for representative robot motions such as Point-To-Point are covered.
20 3 2 Control engineering 3-3-0 It deals with learning basic mathematics for interpretation and analysis of control engineering, modeling control plants, interpreting control systems mathematically or through simulations, interpreting control system performance in time domain, concept of control system stability, and various stability discrimination methods.