Networked Autonomous Systems (NASs) have been rapidly developing in recent years due to advancements in robotics, AI, and sensing technologies. It gradually becomes one of the keys enabling technology empowering sustainable transportation, manufacturing, healthcare, energy, etc.

Together with our international partners, we are planning to offer a comprehensive module which will enable students to have a solid understanding on the theory and practice of networked autonomous systems.

  This module consists of three chapters:  

• The first chapter will cover the fundamental theory of unmanned systems and swarm intelligence, as well as the essential concepts of perception, planning and control. It will also incorporate several interdisciplinary cutting-edge topics such as optimization, learning, game theory, security.

•  The second and third chapters highlight the potential applications of NASs in sustainable manufacturing, energy, transportation, etc. The second chapter will focus on green production and intelligent manufacturing, covering topics such as Industrial Internet of Things, metaverse and telerobotics, while the third chapter will be dedicated to renewable energy, as well as initiatives on smart grid, green transportation, and edge computing.

Course Time: July 22 - August 4, 2024

DOWNLOAD SYLLABUS    updated as of 28 July 2023

Dr. Yue Wang is a tenure-track professor at the College of Control Science and Engineering, Zhejiang University.He was an exchange research student in University of Technology, Sydney and Stanford University from 2013 to 2015. His research focus is to build persistent autonomy for robot using artificial intelligence, machine learning and computer vision. You can find additional details on google scholar by visiting

https://ywang-zju.github.io/

Dr. Cong Wang is a tenure-track professor at the College of Control Science and Engineering, Zhejiang University. He was a tenure-track assistant professor at the George Mason University, Fairfax, VA, USA. His research interests include edge computing and adversarial machine learning. You can find additional details on google scholar by visiting https://scholar.google.com/citations?hl=zh-CN&user=kzqkUUkAAAAJ

Dr. Francesco Bullo is Distinguished Professor of Mechanical Engineering at the University of California, Santa Barbara. His research focuses on modeling, dynamics and control of multi-agent network systems, with applications to robotic coordination, power systems, distributed computing and social networks. He has published more than 300+ papers in international journals, books, and refereed conferences. For more details, please refer to his homepage at  https://fbullo.github.io/index.html

Gaofeng Li is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. He was a Postdoctoral Researcher at the Italian Institute of Technology (IIT), Genova, Italy from Dec. 2018 to Feb. 2022.  His research interests include Lie Group in Robotics, Telerobotics, Robotic Manipulation, Imitation Learning, etc. He was the Recipient of the Outstanding Doctoral Dissertation of Nankai University and the Recipient of the Outstanding Doctoral Dissertation of Tianjin Municipality.

Chengcheng Zhao is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. She was a postdoctoral researcher at University of Victoria. Her research interests include distributed control and optimization, industrial control security, and unmanned system security.

Fei Gao is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. His research interests are mobile robots, motion planning, environmental perception, sensor fusion, SLAM, etc. In the past five years, he has published more than 50 papers in well-known journals/conferences including Science Robotics, TRO, JFR, etc.

Shuo Li is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. He has been devoted to researching the autonomous racing of MAVs under limited computational resources for many years. He won the second prize in the IROS autonomous racing drone competition in 2016.

Liang Li is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. He is an outstanding young scholar of Zhejiang University’s Qizhen Program. His research interests include mobile robots, autonomous driving, SLAM, etc. He has published nearly 20 papers in robotics journals and conferences.

Chen Wang is an assistant professor of computer science and engineering at the State University of New York (SUNY) in Buffalo. His research interests include robotic perception, vision, and learning. He has published more than 20 papers in various journals and conferences. He is also an associate editor of the International Journal of Robotics Research (IJRR).

Mingyang Sun is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. He received his Ph.D. degree from Imperial College London. His research interests include energy system security assessment, smart meter data analysis, energy forecasting, and large-scale energy system investment planning. 

Wenchao Meng is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. He conducted postdoctoral research at Carleton University, Canada. His research interests include adaptive control, cyber-physical systems, renewable energy, and smart grid.  He has published more than 30 papers in top-tier conferences and journals.

  Qi Ye is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University. She received her Ph.D. degree from Imperial College London. Her research interests include computer vision and machine learning.

Jinming Xu is a tenure-tracked professor at the College of Control Science and Engineering, Zhejiang University (ZJU). He received his Ph.D. degree from Nanyang Technological University (NTU). He was a Postdoctoral Researcher at Purdue University and Arizona State University, respectively. His research interests include distributed optimization, large-scale machine learning, data privacy and security of algorithms. For more details, please refer to his homepage via https://jinmingxu.github.io/index.html.

Yuanchao Shu is a professor at the College of Control Science and Engineering, Zhejiang University (ZJU). Before joining ZJU, he worked at Microsoft Research and Cloud Computing Department. His research interests include mobile and wireless systems, network control and optimization, and edge computing. He has published more than 50 papers in top journals and conferences.

Peng Cheng is a professor at the College of Control Science and Engineering, Zhejiang University (ZJU). He is interested in networked sensing and control, cyber-physical systems, control system security, and robust control. He has published more than 200 papers in various journals and conferences.