3 citations · 8 across the 5 of their papers we have counts for
5 papers
SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments
Zongyuan Shen, James Wilson, Ryan Harvey +1
This paper addresses the fast replanning problem in dynamic environments with moving obstacles. Since for randomly moving obstacles the future states are unpredictable, the propose…
CPPNet: A Coverage Path Planning Network
Zongyuan Shen, Palash Agrawal, James P. Wilson +2
This paper presents a deep-learning based CPP algorithm, called Coverage Path Planning Network (CPPNet). CPPNet is built using a convolutional neural network (CNN) whose input is a…
A Non-uniform Sampling Approach for Fast and Efficient Path Planning
James P. Wilson, Zongyuan Shen, Shalabh Gupta
In this paper, we develop a non-uniform sampling approach for fast and efficient path planning of autonomous vehicles. The approach uses a novel non-uniform partitioning scheme tha…
MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments
Zongyuan Shen, James P. Wilson, Ryan Harvey +1
This paper presents a novel algorithm, called MRRT, which uses multiple rapidly-exploring random trees for fast online replanning of autonomous vehicles in dynamic environments wit…
DARE: AI-based Diver Action Recognition System using Multi-Channel CNNs for AUV Supervision
Jing Yang, James P. Wilson, Shalabh Gupta
With the growth of sensing, control and robotic technologies, autonomous underwater vehicles (AUVs) have become useful assistants to human divers for performing various underwater…