1 citations · 2 across the 5 of their papers we have counts for
5 papers
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin +3
This paper presents a sensor-level mapless collision avoidance algorithm for use in mobile robots that map raw sensor data to linear and angular velocities and navigate in an unkno…
3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot
Hanlin Niu, Ze Ji, Zihang Zhu +2
This paper presents the development of a control system for vision-guided pick-and-place tasks using a robot arm equipped with a 3D camera. The main steps include camera intrinsic…
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions
Hanlin Niu, Ze Ji, Pietro Liguori +2
In recent years, Unmanned Surface Vehicles (USV) have been extensively deployed for maritime applications. However, USV has a limited detection range with sensor installed at the s…
Model Checking for Decision Making System of Long Endurance Unmanned Surface Vehicle
Hanlin Niu, Ze Ji, Al Savvaris +2
This work aims to develop a model checking method to verify the decision making system of Unmanned Surface Vehicle (USV) in a long range surveillance mission. The scenario in this…
Low-cost Measurement of Industrial Shock Signals via Deep Learning Calibration
Houpu Yao, Jingjing Wen, Yi Ren +2
Special high-end sensors with expensive hardware are usually needed to measure shock signals with high accuracy. In this paper, we show that cheap low-end sensors calibrated by dee…