Education:
Wang Chaoqun (王超群)
I am currently a postdoc fellow in Robotics, Perception, and AI Lab, supervised by Max Q.-H. Meng in The Chinese University of Hong Kong. My research interests include autonomous robot exploration, planning and decision making for robot sensing under uncertainty
I am the co-founder of PaoPaoRobotWebsite, which aims to share knowledge and facilitate the communications in SLAM community. We warmly welcome you to join our group to share your knowledge or ask questions!
Email: zychaoqun@gmail.com
Address: Room 431, Ho SinHang Engineering Building,
The Chinese University of Hong Kong, Shatin, Hong Kong, China
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2010-2014 Shandong University, China
Bachelor of Automation Engineering
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2014-Present The Chinese University of Hong Kong, Hong Kong, China
Phd candidate of Electronic Engineering
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2016-2017 University of British Columbia, Vancouver, Canada
Visiting Scholar of Mechanical Engineering
Publications:
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Efficient Object Search With Belief Road Map Using Mobile Robot
Wang C, Cheng J, Wang J, et al. IEEE Robotics and Automation Letters, 2018, 3(4): 3081-3088.
PDF Video
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Efficient Mobile Robot Exploration with Gaussian Markov Random Fields in 3D Environments
Wang C, Li T, Meng M Q H, et al. //2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018: 5015-5021.
PDF Video
Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments
Chaoqun Wang, Lili Meng, Sizhen She, Ian M. Mitchell, Teng Li, Frederick Tung, Weiwei Wan, Max. Q. Meng and Clarence W. de Silva. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
Towards autonomous exploration with information potential field in 3D Environments
Wang C, Meng L, Li T, et al. In 2017 18th International Conference on Advanced Robotics (ICAR), . IEEE, 2017: 340-345.
Obstacle avoidance for quadrotor using improved method based on optical flow
Wang C, Liu W, Meng M Q H. Obstacle avoidance for quadrotor using improved method based on optical flow[C]//Information and Automation, 2015 IEEE International Conference on. IEEE, 2015: 1674-1679.
Variant step size RRT: An efficient path planner for UAV in complex environments
Wang C, Meng M Q H. Variant step size RRT: An efficient path planner for UAV in complex environments[C]//Real-time Computing and Robotics (RCAR), IEEE International Conference on. IEEE, 2016: 555-560.
Awards:
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Golden Egg Award , JD Ltd, Tian Jin, China 2018
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IROS Travel Award,IEEE Robotics and Automation Society (RAS) the US NSF 2017
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Hong Kong Phd Fellowship, Hong Kong Research Grants, HongKong Government 2014-2018
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Hong Kong Talent Scholarship, Hong Kong Government 2014,2016,2018
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Global Scholarship, Overseas Research Program, The Chinese University of Hong Kong 2016
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National Encouragement Scholarship, Ministry of Education,PRC 2013
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National Scholarship, Ministry of Education, PRC, the highest scholarship in PRC 2011, 2012
Competitions:
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Top 2 / 300, JD Robot Challenge, JD Ltd Dec, 2018
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Top 10 / 200, DJI Developer Challenge, DJI Ltd Sept, 2016
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First Prize, Challenge Cup, Hong Kong July, 2016
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Bronze Prize, Outstanding Engineering Project Awards, JEC Ltd, Hong Kong May, 2016
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First Prize, Mechanical Electronic Design Contest, ShanDong Province Sept 2012
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First Prize,Energy-Saving Emission Reduction Contest, SDU Apr 2012