2022 IEEE 2nd International Conference on Computer, Control and Robotics has been converted to a virtual conference since international COVID situation is still unstable.
ICCCR 2022 conference proceedings has been archived in IEEE Xplore, and indexed by Ei Compendex and Scopus.
ICCCR 2022 Conference Proceedings
Ei Compendex
Group Photo
Opening Remarks-Conference Chair: Yingjie Yu, Shanghai University, China
Keynote Speaker: Prof. I-Ming Chen (IEEE Fellow), Nanyang Technological University, Singapore
Keynote Speaker: Prof. Biao Huang (IEEE Fellow), University of Alberta, Canada
Keynote Speaker: Prof. Yang Shi (IEEE Fellow), University of Victoria, Canada
Plenary Speaker: Prof. Marcelo H Ang Jr, National University of Singapore, Singapore
Invited Speaker: Prof. Raphaël Couturier, Univ. Bourgogne Franche-Comt´e (UBFC), France
Invited Speaker: Dr. Shuai Wang, Tencent Robotics X, Shenzhen, China
Invited Speaker: Dr. Jing Zhu, Nanjing University of Aeronautics and Astronautics, China
Invited Speaker: Assoc. Prof. Volkan Sezer, Istanbul Technical University Istanbul, Turkey
Session 1: Applications of Distributional Soft Actor-Critic in Real-world Autonomous Driving
Jingliang Duan, Tsinghua University, China
Session 1: Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography
St´ephane Cuenat, Univ. Bourgogne Franche-Comte (UBFC), France
Session 2: Moral reinforcement learning using actual causation
Tue Herlau, Technical University of Denmark
Session 3: EDGE Intelligent for smart factory application
Kabir Ahmed, Hangzhou Dianzi University, China
Session 4: Combined wind speed prediction model considering the spatio-temporal features of wind farm
Chong Yang, Key Laboratory of Wind Power Technology of Zhejiang Province, China
Session 5: Simplifying the control of mobile robots through image-based behaviors
Alexander Julian Golkowski, University of Duisburg-Essen, Germany
Session 6: An Improved ViBe Method for Motion Target Detection
Qian Zhang, Anhui Polytechnic University, China
Session 7: Supervised ADS-B Anomaly Detection Using A False Data Generator
Ralph Karam, Univ. Bourgogne-Franche-Comté, France