794 citations · 875 across the 16 of their papers we have counts for
8 papers · 1 filter
Path Planning for Multiple Tethered Robots Using Topological Braids
Muqing Cao, Kun Cao, Shenghai Yuan +3
Path planning for multiple tethered robots is a challenging problem due to the complex interactions among the cables and the possibility of severe entanglements. Previous works on…
DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels
Muqing Cao, Xinhang Xu, Shenghai Yuan +3
We present the dynamic model and control of DoubleBee, a novel hybrid aerial-ground vehicle consisting of two propellers mounted on tilting servo motors and two motor-driven wheels…
Learning-Based Defect Recognitions for Autonomous UAV Inspections
Kangcheng Liu
Automatic crack detection and segmentation play a significant role in the whole system of unmanned aerial vehicle inspections. In this paper, we have implemented a deep learning fr…
A LiDAR-Inertial-Visual SLAM System with Loop Detection
Kangcheng Liu
We have proposed, to the best of our knowledge, the first-of-its-kind LiDAR-Inertial-Visual-Fused simultaneous localization and mapping (SLAM) system with a strong place recognitio…
An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles
Kangcheng Liu
The vision of unmanned aerial vehicles is very significant for UAV-related applications such as search and rescue, landing on a moving platform, etc. In this work, we have develope…
An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping
Kangcheng Liu
The LiDAR and inertial sensors based localization and mapping are of great significance for Unmanned Ground Vehicle related applications. In this work, we have developed an improve…
A Light-Weight LiDAR-Inertial SLAM System with Loop Closing
Kangcheng Liu, Huosen Ou
In this work, we propose a lightweight integrated LiDAR-Inertial SLAM system with high efficiency and a great loop closure capacity. We found that the current State-of-the-art LiDA…
An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds
Kangcheng Liu
The current LiDAR SLAM (Simultaneous Localization and Mapping) system suffers greatly from low accuracy and limited robustness when faced with complicated circumstances. From our e…