52 citations · 54 across the 7 of their papers we have counts for
7 papers
A Hyper-network Based End-to-end Visual Servoing with Arbitrary Desired Poses
Hongxiang Yu, Anzhe Chen, Kechun Xu +4
Recently, several works achieve end-to-end visual servoing (VS) for robotic manipulation by replacing traditional controller with differentiable neural networks, but lose the abili…
FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing
Yuan Zhou, Gengjie Lin, Yun Tang +6
It has become a consensus that autonomous vehicles (AVs) will first be widely deployed on highways. However, the complexity of highway interchanges becomes the bottleneck for deplo…
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
Tianying Wang, En Yen Puang, Marcus Lee +2
We present an end-to-end Reinforcement Learning(RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keyp…
KOVIS: Keypoint-based Visual Servoing with Zero-Shot Sim-to-Real Transfer for Robotics Manipulation
En Yen Puang, Keng Peng Tee, Wei Jing
We present KOVIS, a novel learning-based, calibration-free visual servoing method for fine robotic manipulation tasks with eye-in-hand stereo camera system. We train the deep neura…
Multi-UAV Coverage Path Planning for the Inspection of Large and Complex Structures
Wei Jing, Di Deng, Yan Wu +1
We present a multi-UAV Coverage Path Planning (CPP) framework for the inspection of large-scale, complex 3D structures. In the proposed sampling-based coverage path planning method…
Constrained Heterogeneous Vehicle Path Planning for Large-area Coverage
Di Deng, Wei Jing, Yuhe Fu +3
There is a strong demand for covering a large area autonomously by multiple UAVs (Unmanned Aerial Vehicles) supported by a ground vehicle. Limited by UAVs' battery life and communi…
Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection
Wei Jing, Di Deng, Zhe Xiao +2
Planning the path to gather the surface information of the target objects is crucial to improve the efficiency of and reduce the overall cost, for visual inspection applications wi…