Jingyi Huang

Jingyi Huang

Research Assistant

ECPKn, Beihang University

Biography

Bonjour! I am currently working as a Research Assistant at ECPKn (école Centrale de Pékin), Beihang University (Hangzhou Campus), under the guidance of Assoc. Prof. Liang HAN. I received my Master’s degree from Beihang University in June 2024. My research includes formation control of Unmanned Aerial Vehicles (UAVs), path planning problems, and artificial intelligence applications in UAVs’ decision-making and planning.

Download my resumé.

Interests
  • Consensus based formation control
  • Path planning
Education
  • Bachelor of Information and Computer Science, 2020

    Beihang University

Experience

 
 
 
 
 
Beihang University (Hangzhou Campus)
Research Assistant
Jan 2026 – Present Hangzhou, China
Continue research on multi-agents formation control, artificial intelligence in robotics, and simulation development.
 
 
 
 
 
Beihang University
Master student
Sep 2020 – Jun 2024 Beijing, China
Conducted research on multi-agents formation control, artificial intelligent in robotics, simulation development, etc.
 
 
 
 
 
INSA Toulouse
Exchange Student
Sep 2019 – Jan 2020 Toulouse, France
Major in Ingénierie des Matériaux, Composants et Systèmes (IMACS). This pre-specialization develops skills in analog and digital electronics and the electronic command of systems. It treats microscopic and nanoscopic physics and physics of materials.It provides an introduction to the physics of electronic components and develops skills in material informatics including real-time control and setting up automatic measures.
 
 
 
 
 
Beihang University
Undergraduate Student
Sep 2016 – Jun 2020 Beijing, China
Learn algebra, geometry, mathematical analysis, Newtonian mechanics, thermodynamics, automatic control, etc.

Recent & Upcoming Talks

2023.05 - Literature Sharing - [slides]

A self-rotating, single-actuated UAV with extended sensor field of view for autonomous navigation, Science Robotics, 2023

2022.12 - Literature Sharing - [slides]

A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning, arXiv preprint, 2022

2022.05 - Literature Sharing - [slides]

Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning, ITSC, 2021

2021.11 - Literature Sharing - [slides]

Fractal Trajectories for Online Non-Uniform Aerial Coverage, ICRA, 2015