22 citations · 46 across the 8 of their papers we have counts for
8 papers
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Xintong Yang, Ze Ji, Jing Wu +1
As a popular concept proposed in the field of psychology, affordance has been regarded as one of the important abilities that enable humans to understand and interact with the envi…
Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
Xintong Yang, Ze Ji, Jing Wu +1
Although Deep Reinforcement Learning (DRL) has been popular in many disciplines including robotics, state-of-the-art DRL algorithms still struggle to learn long-horizon, multi-step…
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet
Xintong Yang, Ze Ji, Jing Wu +1
This work re-implements the OpenAI Gym multi-goal robotic manipulation environment, originally based on the commercial Mujoco engine, onto the open-source Pybullet engine. By compa…
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…