Meet Professor

Currently a professor in the school of mechanical engineering at Kyungpook National University. in Daegu, Korea, with over 10 years of multidiciplinary research experiences and numerous publication.

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Welcome to Intelligent Robot Lab

The KNU Intelligent Robot Laboratory is a team of professor and students who develop algorithmic, mathematical, statistical, and computational methods that are central to plant the intelligence in robot or machine.

Our Mission

Our mission is to create ideas that deepen and advance our understanding of data mining and with those ideas to develop the most innovative, efficient and methodologically advanced artificial intelligence algorithms.

our-mission

Research Interest

Areas of interest include, but are not limited to: intelligent robot, human-robot interaction, man-machine interface, healthcare informatics etc.

research-interest
office
Jeju 2020

2020 Collaborative KNU & CAU Workshop

Artificial Intelligence

Machine learning and data mining, reasoning and inference, conversational model.

Robotics

Cognitive robot with artificial intelligence, human-robot interaction and collaboration, manipulation including perception, control and planning.


Miscellaneous Materials

Protected: Exploiting Child-Robot Aesthetic Interaction for a Social Robot

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Protected: Previous Seminar

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Protected: Auto Car Download

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Protected: Download Materials

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Recent Projects

분산된 딥 강화 학습을 이용한 진화형 협동 로봇 개발 (Evolutionary Cooperative Robot Development Using Distributed Deep Reinforcement Learning)

2019.03.01-2022.02.28

자율주행차에서 딥러닝기반 능동적 운전모드 전환 기술 개발 (Deep Learning-Based Active Switching Technology for Driving Modes in Autonomous Cars)

자가조립 (self-assembly) 형 멀티 청소 로봇 개발(The Development of Self-Assembly Multi-Cleaning Robot)

기계학습기반 감성모델을 적용한 휴머노이드 개발

감성적 상호작용이 가능한 아동 모니터링 휴머노이드 로봇 개발


Previous Materials

Protected: Engineering Mathematics 1

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Protected: Engineering Mathematics 2

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Protected: Applied Algorithms

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Recently Supervised Thesis

Protected: 유준상, 강보영: 딥러닝 TensorFlow를 활용한 전시관 공간연출 방안 연구 (December, 2020)

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Protected: 김예원, 강보영: 딥강화학습에 기반한 테이블 균형맞춤 협력 로봇 개발 (December, 2020)

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Protected: 이현순,강보영: 인간-로봇의 상호작용을 위한 JAFFE와 CK+ 데이터셋에 기반한 연속 정서 추정 시스템 개발 (December, 2020)

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Protected: Ziyi Zhang, 강보영: Detection of Driver’s Smartphone Usage Based on Ensemble Convolutional Neural Network Using Multiple Cameras (December, 2019)

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Protected: Naveen Senniappan Karuppusamy, 강보영: Multimodal Driver Fatigue Detection System Using Deep Neural Networks (June, 2019)

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Most Recent Publications

International Journals

AuthorsCite
Naveen Senniappan Karupusamy, Bo-Yeong Kang"Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope and Image Processing," IEEE Access, Vol. 8, pp. 129645-129667, 14 July 2020 (SCIE, IF 4.098).
Ziyi Zhang, Bo-Yeong Kang"Ensemble of Convolution Neural Networks for Driver Smartphone Usage Detection Using Multiple Cameras," Journal of information and communication convergence engineering(JICCE), Vol. 18, No.2, pp.75-81, July 2020 (SCOPUS).

Domestic Journals

AuthorsCite
유준상, 강보영 “텐서플로우를 활용한 과학관 전시품 선호도 분석 방법 개발”, 멀티미디어학회 논문지, 제 24권 1호, 2021년 1월 (KCI, Accepted).
김예원, 강보영 “테이블 균형맞춤 작업이 가능한 Q-러닝 기반 협력로봇 개발”, 로봇학회 논문지, 제 15권 4호, pp. 404-412, 2020년 11월 (KCI)

International Conference

AuthorsCite
Jihan Kim, Bo-Yeong Kang, Jongwoon Woo, and Hyung-taek Baek "A study on evaluation method for indoor guide robot," 2020 20th International Conference on Control, Automation and Systems (ICCAS 2020), Busan, Korea, October 2020.
Hongseob Kim, Jihan Kim, Bo-Yeong Kang, Jongwoon Woo, and Hyung-taek Baek "A study on conceptual design of test equipment to evaluate grasp strength of gripper for robotic manipulator," 2020 20th International Conference on Control, Automation and Systems (ICCAS 2020), Busan, Korea, October 2020.

Domestic Conference

AuthorsCite
김예원, 강정훈, 박성진, 강보영"DQN기반 테이블 균형맞춤 협력 로봇 기술 개발," 2020 한국소프트웨어종합학술대회, 2020년 12월.
나빈 세니아판 카루부사미, 이동욱, 권소련, 박현재, 윤수진, 강보영"순환인공신경망과 EEG 기반 운전자 졸음 감지 시스템", 2018년도 한국디지털콘텐츠학회 한국정보기술학회 공동학술발표대회, 2018년 6월 8일 (최우수논문상).