Ting Zou

• Associate Professor

Contact information

Ph: (709)864-6201

Email: tzou@mun.ca

Office: EN 3055

Lab website: https://wp.mun.ca/romecola/

Expertise:

• Mechatronics and Intelligent Systems
• Robotics
• Applied Machine Learning
• Control

Research Interests

• Mechatronics, robotics, bio-inspired robots, machine learning for robotic systems, nonlinear motion control, MEMS

Accompanying the boom of the machine learning, reinforcement learning and large AI model, the new generation of intelligent robots has become a research focus and play increasingly crucial roles in industry, like intelligent manufacturing. Meanwhile, the dramatically increased industrial demands for sophisticated robots would pose tremendous challenges in robot design and control. Motivated by such demands, the main goals of my research are on the investigations of the underlying principles of robots and explorations of novel methods for robot mechanism design and control.

 

Personal Profile

I graduated from Xi’an Jiaotong University (China) with the degree of bachelor in electrical engineering in 2005 and master of engineering in automation in 2008. I received my PhD in mechanical engineering from McGill University in 2013, focusing on mechanism design & fabrication of an innovative bi-axial accelerometer based on microelectromechanical systems (MEMS) and its strapdown to ease current rigid-body pose (position and attitude) and twist (velocity and angular velocity) estimation.

After completing my PhD in 2013, I worked as a Post-Doc fellow at the Centre for Intelligent Machines of McGill University. My Post-Doc work was mainly composed of two research projects: optimum design of the next-generation multi-speed transmissions for electric vehicles and nonlinear motion control of autonomous tracked vehicles for mining drilling operations.

Then I joined the Department of Mechanical and Mechatronics Engineering at Memorial University in 2018. My current research focuses on the mechanism design of robotic mechanical systems, biologically inspired robots, mobile robots, nonlinear control and state estimation of robotic systems, advanced human machine interaction, applied machine learning for robotics, intelligent manufacturing, and oceanic robots.