February 17-19, 2023 / Guangzhou, China
2023 2rd International Conference on Computer, Artificial Intelligence and Control Engineering has been held in Shanghai, China during 24-26 March 2023.
ICCCR 2023 conference proceedings has been archived in SPIE, indexed by Ei Compendex and Scopus.
Online Group Photo
Host-Conference Chair: Yingjie Yu, Shanghai University, China
Welcome Address
Opening Remarks
Keynote Speaker: Prof. Zhong-Ping Jiang (IEEE Fellow), New York University, USA
Keynote Speaker: Prof. Maurizio Porfiri (IEEE Fellow), New York University, USA
Keynote Speaker: Prof. Edwin K. P. Chong (IEEE Fellow), Colorado State University, USA
Keynote Speaker: Prof. Wenqiang Zhang, Fudan University, China
Invited Speaker: Prof. Jingtao Lei, Shanghai University, China
Invited Speaker: Assoc. Prof. Chao Ma, University of Science and Technology Beijing, China
Invited Speaker: Dr. Wenbo Li, Tongji University, China
Invited Speaker: Dr. Zhan Li, Swansea University, UK
Meeting Room
Onsite Session
Poster Session
Best
Presenters of each session:
Online Session 1
Title：PIC4rl-gym: a
ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning
Presenter：Mauro
Martini, Politecnico di Torino, Italy
Online Session 2
Title：An End-to-End
Optimization Framework for Autonomous Driving Software
Presenter：Rainer
Trauth, Technical University of Munich, Germany
&
Title：Carbon Kite --
Design of UAV based on Direct Air Carbon Capture
Presenter：Jiachang
Xing, Tianjin University, China
Online Session 3
Title：RGB-L:
Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps
Presenter：Florian
Sauerbeck, Technical University of Munich, Institute of Automotive Technology, Gemany
Online Session 4
Title：A vision
algorithm for robot seam tracking based on laser ranging
Presenter：Minghao
Dong, Northwestern Ploytechnical University, China
Onsite Session 1
Title：Approximate
bilevel programming for finite-horizon optimal control
Presenter：Fawang
Zhang, Beijing Institute of Technology, China
Onsite Session 2
Title：Probability-Based
Ship Encounter Classification using AIS Data
Presenter：Mingda Zhu,
Norwegian University of Science and Technology, Norway
Onsite Session 3
Title：Data-centric AI
to improve churn prediction with synthetic data
Presenter：Alex Xing
Wang, Victoria University of Wellington, New Zealand