I am now a research assistant at FAST Lab. I received my B.E. in
computer engineering from The Chinese University of Hong Kong, Shenzhen in 2024.
I am interested in robotics, especially in aerial robots. I am also interested in motion planning, advanced control,
and integrating machine learning methods into classical robot working pipelines. I love C++ and am
open to new technologies.
My research interests include the following parts:
Real-time Robotics
Algorithms
Developing algorithms in C++
and Python for execution on edge computational platforms such as Nvidia Orin NX, focusing on
real-time efficiency with limited resources.
Multi-robot System
Collaboration and Intelligence
Designing protocols for
multi-robot systems to achieve cooperative tasks in logistics and manipulation with an
emphasis on synchronization and shared objectives.
Robot Motion Planning
Advancing motion planning
techniques for precise navigation and task execution in cluttered environments, utilizing
principles of optimization and learning for movement efficiency.
Reinforcement Learning for
Robotics
Implementing reinforcement
learning system to enhance robots' adaptive capabilities for improved autonomy in diverse
operational scenarios.
A novel solution for UAV control in cooperative multi-robot systems, which can be used in various
scenarios such as leader-following, landing on a moving base, or specific relative motion with a
target.
This repository contains the code about a workshop on two control libraries: ACADO and
control-toolbox at Fast Lab, FIRE group.
The respository contains two robot examples controlling an inverted pendulum and a quadrotor using
these two libraries.
A tutorial video in Chinese can be found at Bilibili.