activity
20182025
most citedAutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation

53 citations · 168 across the 14 of their papers we have counts for

collaborators

14 papers

cs.RO2025

Contact-Aware Motion Planning Among Movable Objects

Haokun Wang, Qianhao Wang, Fei Gao +1

Most existing methods for motion planning of mobile robots involve generating collision-free trajectories. However, these methods focusing solely on contact avoidance may limit the…

cs.RO2024★ 33 cited

Star-Searcher: A Complete and Efficient Aerial System for Autonomous Target Search in Complex Unknown Environments

Yiming Luo, Zixuan Zhuang, Neng Pan +5

This paper tackles the challenge of autonomous target search using unmanned aerial vehicles (UAVs) in complex unknown environments. To fill the gap in systematic approaches for thi…

cs.RO2023★ 53 cited

AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation

Haojia Li, Haokun Wang, Chen Feng +3

The robotics community is increasingly interested in autonomous aerial transportation. Unmanned aerial vehicles with suspended payloads have advantages over other systems, includin…

cs.RO2023

Tight Collision Probability for UAV Motion Planning in Uncertain Environment

Tianyu Liu, Fu Zhang, Fei Gao +1

Operating unmanned aerial vehicles (UAVs) in complex environments that feature dynamic obstacles and external disturbances poses significant challenges, primarily due to the inhere…

cs.RO2023

Distributed Optimization in Sensor Network for Scalable Multi-Robot Relative State Estimation

Tianyue Wu, Fei Gao

Distance measurements demonstrate distinctive scalability when used for relative state estimation in large-scale multi-robot systems. Despite the attractiveness of distance measure…

cs.RO2023★ 31 cited

PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction

Chen Feng, Haojia Li, Fei Gao +2

Autonomous UAV path planning for 3D reconstruction has been actively studied in various applications for high-quality 3D models. However, most existing works have adopted explore-t…

cs.RO2023

Catch Planner: Catching High-Speed Targets in the Flight

Huan Yu, Pengqin Wang, Jin Wang +8

Catching high-speed targets in the flight is a complex and typical highly dynamic task. In this paper, we propose Catch Planner, a planning-with-decision scheme for catching. For s…

cs.RO2019★ 5 cited

Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths

Boyu Zhou, Fei Gao, Jie Pan +1

Gradient-based trajectory optimization (GTO) has gained wide popularity for quadrotor trajectory replanning. However, it suffers from local minima, which is not only fatal to safet…

cs.RO2019★ 4 cited

Real-time Scalable Dense Surfel Mapping

Kaixuan Wang, Fei Gao, Shaojie Shen

In this paper, we propose a novel dense surfel mapping system that scales well in different environments with only CPU computation. Using a sparse SLAM system to estimate camera po…

cs.RO2019★ 12 cited

Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight

Boyu Zhou, Fei Gao, Luqi Wang +2

In this paper, we propose a robust and efficient quadrotor motion planning system for fast flight in 3-D complex environments. We adopt a kinodynamic path searching method to find…

cs.RO2019★ 7 cited

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

Fei Gao, Luqi Wang, Boyu Zhou +3

In this paper, we propose a complete and robust motion planning system for the aggressive flight of autonomous quadrotors. The proposed method is built upon on a classical teach-an…

cs.RO2019★ 7 cited

Flying through a narrow gap using neural network: an end-to-end planning and control approach

Jiarong Lin, Luqi Wang, Fei Gao +2

In this paper, we investigate the problem of enabling a drone to fly through a tilted narrow gap, without a traditional planning and control pipeline. To this end, we propose an en…

cs.RO2019★ 4 cited

FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

Luxin Han, Fei Gao, Boyu Zhou +1

Euclidean Signed Distance Field (ESDF) is useful for online motion planning of aerial robots since it can easily query the distance and gradient information against obstacles. Fast…

cs.RO2018★ 12 cited

A Collaborative Aerial-Ground Robotic System for Fast Exploration

Luqi Wang, Daqian Cheng, Fei Gao +4

Autonomous exploration of unknown environments has been widely applied in inspection, surveillance, and search and rescue. In exploration task, the basic requirement for robots is…