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

 

 

 

 

 

Keynote Lecture: Design, Modeling and Control of a Biologically-Inspired Bat Robot 

Abstract: In this talk, I will describe our recent progress building a biologically-inspired bat robot. Bats have a complex skeletal morphology, with both ball-and-socket and revolute joints that interconnect the bones and muscles to create a musculoskeletal system with over 40 degrees of freedom, some of which are passive. Replicating this biological system in a small, lightweight, low-power air vehicle is not only infeasible, but also undesirable; trajectory planning and control for such a system would be intractable, precluding any possibility for synthesizing complex agile maneuvers, or for real-time control. Thus, our goal is to design a robot whose kinematic structure is topologically much simpler than a bat's, while still providing the ability to mimic the bat-wing morphology during flapping flight, and to find optimal trajectories that exploit the natural system dynamics, enabling effective controller design. 

The kinematic design of our robot is driven by motion capture experiments using live bats. In particular, we use principal component analysis to capture the essential bat-wing shape information, and solve a nonlinear optimization problem to determine the optimal kinematic parameters for a simplified parallel kinematic wing structure. We then derive the Lagrangian dynamic equations for this system, along with a model for the aerodynamic forces. We use a shooting-based optimizer to locate physically feasible, periodic solutions to this system, and an event-based control scheme is then derived in order to track the desired trajectory. We demonstrate our results with flight experiments on our robotic bat.

 

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)

Southern University of Science and Technology of China, China

南方科技大学

Keynote Lecture: Intelligent Manufacturing: Research and Practice

Absract: Intelligent manufacturing aims to provide quality product to customers and enrich the human life in the society. It is reviewed how the intelligent manufacturing technologies have been developed from quality control, production planning, to an integration of manufacturing systems information, and to artificial intelligence applications. Previous research and industrial applications on related topics are summarized. Finally a plan for a SUSTech Institute of intelligent manufacturing is introduced.  

 

 

 

 

 

 

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. 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. 

 

Dr. Simon K.S. Cheung (Invited Speaker)

Open University of Hong Kong, Hong Kong

香港公开大学

Invited Lecture: Concurrent Process Control Using Augmented Marked Graphs

Abstract: A subclass of Petri nets which are theoretically rich for system analysis, augmented marked graphs possess a structure especially useful for modelling and analysis of concurrent and competing processes. Augmented marked graphs are rather new in the literature, but were extensively studied in the past two decades. They possess a number of desirable properties pertaining to liveness, boundedness, reversibility and conservativeness. The properties can be preserved under simple conditions after composition. This keynote presentation has two parts. The first part introduces the theories of augmented marked graphs, and the second part focus on the application of augmented marked graphs to concurrent process control. The modelling and analysis of concurrent processes, which used to compete with each other for some shared resources, are illustrated with examples of distributed systems and automated systems.

 

 

 

Prof. Wei Zhang (Invited Speaker)

Southern University of Science and Technology, China

南方科技大学

Invited Lecture: Advanced Control and Learning Theory for Robotic Applications

Abstract: Motion planning and control are essential parts of most robotic systems and have been studied extensively in both control and robotics communities. Recent advances in robotic applications pose many non-classical challenges that cannot be directly addressed using existing control tools. One common challenge lies in the interaction between continuous dynamics with discrete logic rules, making the overall system exhibit hybrid dynamic behavior. Another challenge lies in the interaction among multiple decision makers. In this talk, I will briefly go over our recent works on optimal control of hybrid systems, multiagent systems, and reinforcement learning that can potentially address the aforementioned non-classical challenges. The results will be presented with an emphasis on their applications in robotics and human-robot collaborative decision problems.

 

 

 

 

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