1 citations · 1 across the 5 of their papers we have counts for
8 papers
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation
Zheng Chen, Durgakant Pushp, Lantao Liu
Traversability prediction is a fundamental perception capability for autonomous navigation. The diversity of data in different domains imposes significant gaps to the prediction pe…
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…
Optimizing Information Freshness in a Multiple Access Channel with Heterogeneous Devices
Zheng Chen, Nikolaos Pappas, Emil Björnson +1
In this work, we study age-optimal scheduling with stability constraints in a multiple access channel with two heterogeneous source nodes transmitting to a common destination. The…