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[ICRA 2024 Best UAV Paper Award Finalist] An Efficient Gloabl Planner for Aerial Coverage
Real-time Whole-body Motion Planning for Mobile Manipulators Using Environment-adaptive Search and Spatial-temporal Optimization (ICRA 2024)
Star-Searcher: An Efficient Aerial System for Target Search in Unknown Environments
An Efficient Planner for Fast Aerial Coverage
Zager-Zhang / RACER
Forked from SYSU-STAR/RACERRapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)
A Multi-Modal Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion
TracyLucia / FUEL
Forked from HKUST-Aerial-Robotics/FUELAn Efficient Framework for Fast UAV Exploration
[IROS 2024 Oral] A LiDAR-Visual Heterogeneous Multi-UAV System for Fast and Autonomous Aerial Reconstruction
An Efficient Framework for Fast UAV Exploration
AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation.
TARE Exploration Planner for Ground Vehicles
Fault detection based on deep learning(CWRU Dataset)基于深度学习的故障检测算法