Difference between revisions of "Hoang Minh Do"

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	'''''Contact'''''<br />		'''''Contact'''''<br />
	Email : 614001@kist.re.kr<br />		Email : 614001@kist.re.kr<br />
−	Office : International Cooperation Building L8421 <br />	+	Office : KIST, International Cooperation Building L8421 <br />
	Tel : +82-10-9380-4858<br /><br />		Tel : +82-10-9380-4858<br /><br />

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Revision as of 23:39, 22 December 2016

Hoang Minh Do (도황민)

Ph.D Student
University of Science & Technology
HCI & Robotics

Korea Institute of Science and Technology
Center for Robotics Research

Contact
Email : 614001@kist.re.kr
Office : KIST, International Cooperation Building L8421
Tel : +82-10-9380-4858

Advisor: Jong-Suk Choi

Research Interests

• Robot Navigation
• Machine Learning
• Human Detect and Tracking
• Computer Vision

Education

• Electrics and Telecommunication Department, Hanoi University of Science and Technology (B.S. 2007)
• Computer Science, Dongguk University (M.S. 2012)
• HCI & Robotics, University of Science and Technology (Ph.D. 2014 ~ present)

Projects

• 인식센서융합 기반 실환경하에서 임의의 사용자 30명에 대해 인식률 99%에 근접하는 사용자의 신원과 행위 및 위치 정보 인식 기술 개발(로봇산업원천기술개발사업): Jun.2012 ~ May.2017

Publications

International Journal

International Conference

• Hoang Minh Do; Jin-Woo Jung. A predictive collision-free fuzzy algorithm for mobile robots to avoid obstacles moving at variable speeds. Control, Automation and Systems (ICCAS), 2012, 12th International Conference on Jeju

• Kijin An, JiGwan Park, Minh Do Hoang, JongSuk Choi. Dispensing materials of mobile robot cooperating with perception sensor network. International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2014)

• Minh Do Hoang; JongSuk Choi. Robust Leg Detection and Tracking Based on Low-Cost RGB-D Sensor. Late-Breaking Posters, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept 28 - Oct 03, 2015, Congress Center Hamburg, Hamburg, Germany (IROS 2015)

• Anh Vu Le, Hoang Minh Do, SangSok Yun, JongSuk Choi. Discrimination of human-like robots from real human in a perception sensor network. Late Breaking Reports, ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016)

Patents