Research Assistant — ECPKn, Beihang University

Jingyi HUANG

Formation control of UAV swarms, path planning, and AI for multi-agent decision-making. I work on systems that move as one — from simulation to real robots.

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01 — NEWS

Sep. 2026Our paper on correct-by-construction behavior tree synthesis was accepted for publication in IEEE Robotics and Automation Letters (RA-L); final materials submitted.

Jan. 2026Started working as a Research Assistant at Beihang University (Hangzhou Campus).

Jun. 2024Graduated from Beihang University with a Master's degree.

Oct. 2022Paper accepted to China Automation Conference (CAC).

02 — EXPERIENCE

Research Assistant Jan. 2026 – Present
Beihang University (Hangzhou Campus)·Hangzhou, China·Multi-agents formation control, AI in robotics, simulation development
Master Student Sep. 2020 – Jun. 2024
Beihang University·Beijing, China·Multi-agents formation control, AI in robotics, simulation development
Exchange Student Sep. 2019 – Jan. 2020
INSA Toulouse·Toulouse, France·IMACS — analog/digital electronics, real-time control, material informatics
Undergraduate Student Sep. 2016 – Jun. 2020
Beihang University·Beijing, China·Algebra, geometry, mathematical analysis, Newtonian mechanics, automatic control

03 — RESEARCH

Path Planning Method Using Dyna-Q Algorithm under Complex Urban Environment

Jingyi HUANG, Qingke TAN, Jiming MA*, Liang HAN · China Automation Conference (CAC'22), Oct. 2022 · [paper]

Dyna-Q Path Planning UGV RL

Dyna-Q reinforcement learning for obstacle avoidance and path planning of UGV in urban environments, with air-ground collaboration via PID-controlled UAV.

Abstract

Path planning and obstacle avoidance problems are now the focus of robotics research. This paper uses the Dyna-Q reinforcement learning algorithm to implement an obstacle avoidance and a path planning algorithm for unmanned ground vehicle (UGV) under urban environment. Using the reinforcement learning algorithm, we calculate the waypoints of the unmanned vehicle and achieve obstacle avoidance tasks and path planning using a vector field. Finally, we use a PID controller on unmanned aerial vehicle (UAV) to realize the air-ground collaboration task. The algorithms and the agents' modeling in this paper are implemented in the lab's simulation platform.

04 — SELECTED PROJECTS

Apr. – Sep. 2023Competition

Challenge Cup — Multi-Agent Decision Control

Multi-agent decision control model for regional information gathering. Grand Prize (特等奖). Responsible for obstacle avoidance (APF → A*), path planning, and convex hull utilities. [detail] [paper]

Sep. 2022Platform

Potato Platform

Large-scale heterogeneous swarm simulation platform (MOST project). Developed ground vehicle dynamics, path follower, and PID autopilot. [detail] [paper]

Nov. 2023Teaching

Research Class (TA)

Course for sophomores on UAV/UGV planning and control using DJI RoboMaster TT/EP and lab simulation platform (Potato-mini). [detail]

Mar. 2023Teaching

PID Course (TA)

Hands-on PID controller demo on simulation platform for undergraduates. [detail]

Nov. 2023Coursework

Simulation / Optimization

Neural network for classification from scratch (Python/NumPy) with SGD and Newton's method. [detail] [code]

05 — NOTES

Study notes on modeling and control — in Chinese, with interactive demos.

Study notes on quadrotor modeling based on Small Unmanned Aircraft: Theory and Practice — coordinate frames, rotation matrices, Euler angles & quaternions, rigid-body dynamics and linearization, with interactive 3D demos. [read]

06 — TALKS

Literature and AI topic sharing at group meetings — papers, workflows, and methods I found worth discussing.

AI Topic Sharing Jun. 2026

AI Engineering Workflow — From Idea to Implementation with Software Engineering Fundamentals. A practical workflow for AI-assisted software development, from planning through testing and codebase ownership. [slides]

Literature Sharing May 2023

A self-rotating, single-actuated UAV with extended sensor FOV for autonomous navigation, Science Robotics, 2023 [slides]

Literature Sharing Dec. 2022

A Survey on Large-Population Systems and Scalable MARL, arXiv, 2022 [slides]

Literature Sharing May 2022

Trajectory Planning for Autonomous Vehicles Using Hierarchical RL, ITSC, 2021 [slides]

Literature Sharing Nov. 2021

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

07 — PHOTOGRAPHY

Architecture photography Nature photography Street photography Architecture photography

Travel inspires my photography — places, people, and moments through the lens. [gallery] [instagram]

08 — MISC.

Badminton has been a longstanding interest of mine. I am also an avid reader of economics and social sciences literature, and I am proficient in English and French. I have had the opportunity to travel extensively across Europe, visiting France, Germany, Spain, Belgium, Italy, Switzerland, and Malta.