32 citations · 89 across the 9 of their papers we have counts for
9 papers
Simulation-to-reality UAV Fault Diagnosis in windy environments
Wei Zhang, Junjie Tong, Fang Liao +1
Monitoring propeller failures is vital to maintain the safe and reliable operation of quadrotor UAVs. The simulation-to-reality UAV fault diagnosis technique offer a secure and eco…
Simulation-to-reality UAV Fault Diagnosis with Deep Learning
Wei Zhang, Junjie Tong, Fang Liao +1
Accurate diagnosis of propeller faults is crucial for ensuring the safe and efficient operation of quadrotors. Training a fault classifier using simulated data and deploying it on…
DDCNN: A Promising Tool for Simulation-To-Reality UAV Fault Diagnosis
Wei Zhang, Shanze Wang, Junjie Tong +3
Identifying the fault in propellers is important to keep quadrotors operating safely and efficiently. The simulation-to-reality (sim-to-real) UAV fault diagnosis methods provide a…
Modelling particle collisions in moderately dense curtain impacted by an incident shock wave
Pikai Zhang, Huangwei Zhang, Yun Feng Zhang +2
The interactions between an incident shock and moderately dense particle curtain are simulated with the Eulerian-Lagrangian method. A customized solver based on OpenFOAM is extende…
IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning
Wei Zhang, Yunfeng Zhang, Ning Liu +2
This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL). Although DRL exhibits h…
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
Wei Zhang, Ning Liu, Yunfeng Zhang
Deep reinforcement learning (DRL) demonstrates great potential in mapless navigation domain. However, such a navigation model is normally restricted to a fixed configuration of the…
An Evolutional Algorithm for Automatic 2D Layer Segmentation in Laser-aided Additive Manufacturing
N. Liu, K. Ren, W. Zhang +4
Toolpath planning is an important task in laser aided additive manufacturing (LAAM) and other direct energy deposition (DED) processes. The deposition toolpaths for complex geometr…
Dimension-variable Mapless Navigation with Deep Reinforcement Learning
Wei Zhang, Yunfeng Zhang, Ning Liu +1
Deep reinforcement learning (DRL) has exhibited considerable promise in the training of control agents for mapless robot navigation. However, DRL-trained agents are limited to the…
Danger-aware Adaptive Composition of DRL Agents for Self-navigation
Wei Zhang, Yunfeng Zhang, Ning Liu
Self-navigation, referred as the capability of automatically reaching the goal while avoiding collisions with obstacles, is a fundamental skill required for mobile robots. Recently…