ICCRE2021 | Online Conference
With much expectation, ICCRE 2021 was finally held successfully in virtual form during April 16-18, 2021. Although unpleasant situation prevents us from gathering at beautiful Beijing, the conference was still activated by the warmness of participants! ICCRE 2021 is sponsored by IEEE, co-sponsored by China Agricultural University, China, Hohai University, China and IEEE Robotics and Automation Society.
尽管受到疫情影响,令人期待的控制与机器人工程国际会议通过线上虚拟会议的形式召开,与会作者的热情不减,会议圆满成功。本次会议由IEEE主办;中国农业大学, 河海大学和IEEE RAS联合主办。
ICCRE2021 Conference Proceedings - Cover
ICCRE 2021 | IEEE - ISBN: 978-0-7381-2611-1 IEEE Xplore
Papers of ICCRE2021 are indexed by Ei Compendex and Scopus!! ICCRE 2021 论文集成功被Ei核心和Scopus数据库检索收录!
Photo Gallery
Some participations with camera on
Keynote Speaker: Prof. Danica Kragic, IEEE Fellow Royal Institute of Technology, KTH, Sweden |
Keynote Speaker: Prof. Huijun Gao, IEEE Fellow Harbin Institute of Technology, China |
Keynote Speaker: Prof. Makoto Iwasaki, IEEE Fellow Nagoya Institute of Technology, Japan |
Excellent Oral Presentation Winners
Session I---Image and Signal Processing
(ERE21-216) Title: Improvement of vision-based drone detection and tracking by removing cluttered background, shadow and water reflection with super resolution
Presenter: Sutthiphong Srigrarom, National University of Singapore, Singapore
Session II---Mechanical and Control Engineering
(ERE21-220) Title: Research on the Principle of Arm Torsion Electromagnetic Active Suspension
Presenter: Renxu Zhang, Wuhan University of Technology, China
Session III---Mechatronics
(ERE21-232-A) Title: A new twisting pneumatic artificial muscle driven by the cooperative collapse of helical structures
Presenter: Wei Xiao, Beihang University, China
Session IV---Mobile Robots and Motion Planning
(ERE21-608) Title: Design of an Underwater Robot for Coral Reef Monitoring in Honduras
Presenter: Jose Luis Ordoñez, UNITEC, Honduras
Session V---Intelligent Robot Design and Control
(ERE21-611) Title: Redundancy Reduction of Musculoskeletal Model for Robots with Group Sparse Neural Network
Presenter: Shanlin Zhong, Institute of Automation, Chinese Academy of Sciences, China