上一级 syh · notes
RESEARCH / EXPERIMENTS

多无人机实物实验视频Multi-UAV Real-World Flight Experiments

搜索围捕策略验证与编队控制Cooperative search-and-capture policy validation and formation control.

01户外自主实飞 / Autonomous Outdoor Flight 00:47

基于机载激光感知的夜间多无人机协同围捕实验Nighttime Multi-UAV Cooperative Pursuit and Capture Using Onboard LiDAR Sensing

基于机载激光定位与队友感知的夜间 2 追 1 自主围捕；彩色光轨为后期轨迹可视化。Autonomous nighttime pursuit and capture with two pursuers and one evader, using onboard LiDAR for localization and teammate sensing. Colored trails are added in post-processing to visualize trajectories.

单独打开视频 / Open video separately
02IROS 2026已录用 / Accepted 00:55

Oracle-Guided Multi-Agent Reinforcement Learning for Cooperative Search and Capture in Obstacle-Rich Environments

OGSC：室内搜索与围捕，展示从搜索目标到协同围捕的任务过程。OGSC: indoor search and capture experiments, showing the progression from target search to cooperative capture.

单独打开视频 / Open video separately
03IEEE TMC在投 / Submitted 01:07

Learning a Unified Policy for Low-Altitude Multi-AAV Cooperative Search and Capture with Hypernetwork-based Oracle Guidance

俯视视角记录追逃实验，展示目标与两架追捕无人机的运动。An overhead view of a pursuit-evasion experiment, showing the movements of the target and two pursuing UAVs.

单独打开视频 / Open video separately
04IROS 2025 00:33

Emergent Cooperative Strategies for Pursuit-Evasion in Cluttered Environments: A Knowledge-Enhanced Multi-Agent Deep Reinforcement Learning Approach

KE-MATD3：柱状障碍场景中的室内多机飞行实验。KE-MATD3: indoor multi-UAV flight experiments among column-shaped obstacles.

单独打开视频 / Open video separately
05IEEE TCYB在投 / Submitted 01:11

Symmetry-Aware Multi-Agent Reinforcement Learning for Multi-AAV Formation Control in Cluttered Environments

室内多无人机编队飞行，展示障碍环境中的队形与运动。Indoor multi-UAV formation flight, showing the formation and its movement in an environment with obstacles.

单独打开视频 / Open video separately
06IEEE T-ASE 2026 02:16

Knowledge-Guided Multi-Agent Reinforcement Learning for Multi-AAV Cooperative Pursuit with Sparse Team Rewards

室内外协同围捕实验，包含不同方法的飞行轨迹与实机表现对照。Indoor and outdoor cooperative pursuit and capture experiments, comparing flight trajectories and real-world performance across methods.

单独打开视频 / Open video separately

LET’S CONNECT

联系

欢迎交流多无人机协同决策与控制。I welcome discussions on cooperative decision-making and control for multi-UAV systems.

孙懿豪 YIHAO SUN sunyihao@nudt.edu.cn