Min Wang

Min Wang
University of Luxembourg · SnT Automation & Robotics Research Group

Doctor of Engineering

About

5
Publications
1,910
Reads
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83
Citations
Citations since 2017
5 Research Items
83 Citations
2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
Introduction
Additional affiliations
February 2017 - December 2020
University of Luxembourg
Position
  • PhD Student
Education
February 2017 - February 2021
University of Luxembourg
Field of study
  • Robotics

Publications

Publications (5)
Conference Paper
Full-text available
UAV teleoperation is a demanding task, especially for amateur operators who wish to successfully accomplish their mission without collision. In this work we present an integrated 2D LIDAR based Sense-and-Avoid system which actively assists unskilled human operator in obstacle avoidance, so that the operator can focus on higher-level decisions and g...
Data
This is the video demo for UR2020 conference paper
Conference Paper
Full-text available
Current commercial UAVs are to a large extent remotely piloted by amateur human pilots. Due to lack of teleoperation experience or skills, they often drive the UAVs into collision. Therefore, in order to ensure safety of the UAV as well as its surroundings, it is necessary for the UAV to boast the capability of detecting emergency situation and act...
Conference Paper
Full-text available
Abstract—Object detection and tracking is a challenging task, especially for unmanned aerial robots in complex environments where both static and dynamic objects are present. It is, however, essential for ensuring safety of the robot during navigation in such environments. In this work we present a practical online approach which is based on a 2D L...
Article
Full-text available
Deliberative capabilities are essential for intelligent aerial robotic applications in modern life such as package delivery and surveillance. This paper presents a real-time 3D path planning solution for multirotor aerial robots to obtain a feasible, optimal and collision-free path in complex dynamic environments. High-level geometric primitives ar...

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