CACRE Speakers

 

Prof. Dan Zhang

(Keynote Speaker)

York University, Canada

加拿大约克大学

 

 

 

 

Keynote Lecture: The Robotics Futures: Prospect and Scientific Challenge in Canada

Abstract: Robotics provides a transformative technology for almost all aspects of our life and it has been used from the bottom of oceans to the space. Effective use of robotics in different systems is essential to future economic growth, job creation and global competitiveness.
In this talk, robotics research in Canada was introduced and the future robotics and challenge in Canada are explored. Five main themes of focus in robotics are discussed and they are:

1. Land theme — Multi-mode platform, Deep forest, Arctic, underground mines, Mars

2. Air theme — Low-altitude flight under a range of harsh weather conditions (wind, rain, snow), Space arm, Space debris

3. Water theme — Shallow and deep lakes and oceans, surf zone

4. Human theme — Human-centric and urban environments, with complex settings: shopping malls, homes of people with impaired cognitive/physical abilities

5. Industry robots theme — High performance robotics system, Parallel/Hybrid robotics, 3D printer, Green manufactured system

Finally, the thoughts on future robotics research and development are proposed.

 

Prof. Seth Hutchinson

(Keynonte Speaker)

Georgia Institute of Technology, USA

美国佐治亚理工学院

 

TBD

 

 

 

 


 

 

 

 

Prof. Peter Corke

(Keynonte Speaker)

澳大利亚昆士兰理工大学

Keynote Lecture: Creating robots that see

Absract: This talk will define and motivate the problem of robotic vision, the challenges as well as recent progress at the Australian Centre for Robotic Vision. This includes component technologies such as novel cameras, deep learning for computer vision, transfer learning for manipulation, evaluation methodologies, and also end-to-end systems for applications such as logistics, agriculture, environmental remediation and asset inspection.

 

 

 

 

Prof. Yiming Rong

(Keynote Speaker)

South University of Science and Technology of China, China

南方科技大学

TBD

 

 

 

 

 

 

 

Prof. Feng Gao

(Keynote Speaker)

Shanghai Jiaotong University, China

上海交通大学

Keynote Lecture: Design and Control of 6-Legged Parallel-Parallel Robots for Applications

Abstract: Research on the walking robots has been one of key topics in robotics for a long time. In recent years, many legged robots were developed in the world, which of them achieved great progress and received much attention from the robotic field. The most important challenging issues are the design and human robot Interaction control of the legged robots. This speech will introduce our research on both mechanism design and real time control of the 6-legged parallel-parallel robots for applications, which include the following issues: design process of type synthesis for legged robotic mechanisms;design of the unit composed of motor, reducer, encoder and torque sensor for legged robots; real-time operating system for legged robots, walking based on force sensing, obstacle avoidance with both vision and F/T sensor, walking upstairs by vision, human-robot interactive assembly based on F/T sensor, manufacturing based on F/T sensor, locked door opening based on F/T sensor for legged robots, fire-fighting and so on.

 

Prof. Songyi Dian

(Keynote Speaker)

Sichuan University, China

四川大学

TBD

 

 

 

 

 

 

 

Prof. Ye Yuan (Invited Speaker)

Huazhong University of Science and Technology, China

华中科技大学

 

Invited Lecture:Data-driven Discovery of Cyber-Physical Systems

Abstract: A major cross-disciplinary challenge concerns the need to adequately model cyber-physical systems (CPSs). CPSs, which embed software into the physical world (for example, in smart grids, robotics, intelligent manufacture and medical monitoring), have proved resistant to modeling due to the intrinsic complexity arising from (a) the combination of physical and cyber components and (b) the interaction between systems. This study proposes a solution in the form of a general framework for reverse engineering CPSs from data without prior knowledge. The method, which draws from artificial intelligence, involves the identification of physical systems as well as the inference of computer logics using sparse identification. The novel framework, which has been applied successfully to a number of real-world examples, seeks to enable researchers to make predictions concerning the trajectory of CPSs based on the discovered model. Such information may prove essential for the assessment of the performance of CPS and the design of failure-proof CPS. We can also use the proposed framework for the creation of design guidelines for new CPSs. 

 

 

 

CACRE Past Speakers

 

Prof. Michael Y. Wang

Hong Kong University of Science and Technology, HK

Prof. Guangren Duan

Harbin Institute of Technology, China

Prof. Du Ruxu

South China University of Technology, China

Prof. Jonathan Wu

University of Windsor, Canada

Prof. Xuechao Duan

Xidian University, China

 

         
 

Prof. Fumin Zhang

Georgia Institute of Technology, USA

Prof. Yifei Pu

Sichuan University, China

 

Prof. Bin Li

Sichuan University, China

 

Dr.Jan Faigl

Czech Technical University in Prague, Czech Republic