Yifeng Tang

Biography

I am currently a first year PhD student of Centre for Robotics and AI, the University of Manchester (UoM), and I am also a Doctoral Candidates of the EU Marie Sklodowska-Curie Action (MSCA) Doctoral Network (DN) MSCA-DN, RAICAM. My research interests include robotics, whole body control, motion planning and mechanical and electronic design.

I am under the supervision of Dr. Simon Watson and Dr. Bruno Adorno.

I recevied my bachelor’s and master’s degree from Chongqing University(CQU) in 2020 and Univeristy of Chinese Academy of Sciences(UCAS) in 2023, both in Control Science and Engineering. You can find my cv here Yifeng’s Curriculum Vitae.

You can access my publications via Yifeng Tang`s Google Scholar.

Robots

My story with robot started from a global competition Robomaster. We formed teams according to the competition rules and completed task assignments. Team members designed mechanical structures, hardware circuits, and software algorithms. The following pictures are my design during 2016-2018.

Then, from 2019 to 2022, I served as the team’s advisor, guiding subsequent students to complete a series of excellent projects. You can see more designs from the website of one of my most talented students Jiajian Fu.

Publications

From 2020-2023, I served as a master student of UCAS and also an engineer in SIAT-robot. My work included designing the autonomous driving control system and learning from demonstration for robotic arm.

Autonomous Driving

I developed the control and local planning software module using C++. I designed two control algorithms: one is model predictive control, and the other is nonlinear control. I primarily devoted my time and effort to engineering tasks in this project. The final performance vehicle.

Access the papers MPC, Nonlinear.

Learning from Demonstration(LfD)

I also completed the operation of a robotic arm through demonstration learning, where I was mainly responsible for designing and deriving the control laws. In this article, we presented, for the first time, a stability proof considering force-position information and validated it on a real machine.

The paper TIE.

Whole Body Control

I am currently working on whole-body control of robots and am looking forward to exciting results in the coming years.