activity
20132021
most citedModeling Curiosity in a Mobile Robot for Long-Term Autonomous Exploration and Monitoring

46 citations · 103 across the 19 of their papers we have counts for

collaborators

20 papers

cs.RO2021

Average Outward Flux Skeletons for Environment Mapping and Topology Matching

Morteza Rezanejad, Babak Samari, Elham Karimi +3

We consider how to directly extract a road map (also known as a topological representation) of an initially-unknown 2-dimensional environment via an online procedure that robustly…

cs.RO2021

An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles

Yuying Huang, Yiming Yao, Johanna Hansen +4

This paper presents the portable autonomous probing system (APS), a low-cost robotic design for collecting water quality measurements at targeted depths from an autonomous surface…

cs.RO2020

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor

Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari +3

We introduce a new class of vision-based sensor and associated algorithmic processes that combine visual imaging with high-resolution tactile sending, all in a uniform hardware and…

cs.RO2020

Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images

Travis Manderson, Stefan Wapnick, David Meger +1

We present a method for learning to drive on smooth terrain while simultaneously avoiding collisions in challenging off-road and unstructured outdoor environments using only visual…

cs.RO2020

DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization

Bharat Joshi, Md Modasshir, Travis Manderson +5

In this paper, we propose a real-time deep learning approach for determining the 6D relative pose of Autonomous Underwater Vehicles (AUV) from a single image. A team of autonomous…

eess.IV2019★ 1 cited

Detecting GAN generated errors

Xiru Zhu, Fengdi Che, Tianzi Yang +3

Despite an impressive performance from the latest GAN for generating hyper-realistic images, GAN discriminators have difficulty evaluating the quality of an individual generated sa…