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ICCCR 2022

 

March 18-202022  / Shanghai, China / Virtual Conference

 

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

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

Best Presenters of each session:

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