4 citations · 13 across the 19 of their papers we have counts for
6 papers · 1 filter
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains
Junhong Xu, Kai Yin, Zheng Chen +3
We propose a diffusion approximation method to the continuous-state Markov Decision Processes (MDPs) that can be utilized to address autonomous navigation and control in unstructur…
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation
Zheng Chen, Zhengming Ding, David Crandall +1
Detecting navigable space is a fundamental capability for mobile robots navigating in unknown or unmapped environments. In this work, we treat visual navigable space segmentation a…
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction
Zheng Chen, Lantao Liu
Detecting navigable space is the first and also a critical step for successful robot navigation. In this work, we treat the visual navigable space segmentation as a scene decomposi…
Efficient Map Prediction via Low-Rank Matrix Completion
Zheng Chen, Shi Bai, Lantao Liu
In many autonomous mapping tasks, the maps cannot be accurately constructed due to various reasons such as sparse, noisy, and partial sensor measurements. We propose a novel map pr…
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps
Zheng Chen, Weizhe Chen, Shi Bai +1
Autonomous exploration in unknown environments using mobile robots is the pillar of many robotic applications. Existing exploration frameworks either select the nearest geometric f…
Solving the linear transport equation by a deep neural network approach
Zheng Chen, Liu Liu, Lin Mu
In this paper, we study the linear transport model by adopting the deep learning method, in particular the deep neural network (DNN) approach. While the interest of using DNN to st…