Zobrazeno 1 - 10
of 1 339
pro vyhledávání: '"VAUGHAN, RICHARD"'
This paper investigates a hybrid solution which combines deep reinforcement learning (RL) and classical trajectory planning for the following in front application. Here, an autonomous robot aims to stay ahead of a person as the person freely walks ar
Externí odkaz:
http://arxiv.org/abs/2011.03125
Autor:
Nikdel, Payam, Vaughan, Richard
This paper describes a system whereby a robot detects and track human-meaningful navigational cues as it navigates in an indoor environment. It is intended as the sensor front-end for a mobile robot system that can communicate its navigational contex
Externí odkaz:
http://arxiv.org/abs/1903.03669
We present and characterize a simple method for detecting pointing gestures suitable for human-robot interaction applications using a commodity RGB-D camera. We exploit a state-of-the-art Deep CNN-based detector to find hands and faces in RGB images,
Externí odkaz:
http://arxiv.org/abs/1902.02636
We demonstrate the use of semantic object detections as robust features for Visual Teach and Repeat (VTR). Recent CNN-based object detectors are able to reliably detect objects of tens or hundreds of categories in a video at frame rates. We show that
Externí odkaz:
http://arxiv.org/abs/1801.07899
Image-based modeling techniques can now generate photo-realistic 3D models from images. But it is up to users to provide high quality images with good coverage and view overlap, which makes the data capturing process tedious and time consuming. We se
Externí odkaz:
http://arxiv.org/abs/1705.01010
Autor:
Ling, Hangjian, Mclvor, Guillam E., van der Vaart, Kasper, Vaughan, Richard T., Thornton, Alex, Ouellette, Nicholas T.
Publikováno v:
Proceedings: Biological Sciences, 2019 Jul 01. 286(1906), 1-10.
Externí odkaz:
https://www.jstor.org/stable/26759888
Autor:
Roberts, Gillian, Holmes, Niall, Alexander, Nicholas, Boto, Elena, Leggett, James, Hill, Ryan M., Shah, Vishal, Rea, Molly, Vaughan, Richard, Maguire, Eleanor A., Kessler, Klaus, Beebe, Shaun, Fromhold, Mark, Barnes, Gareth R., Bowtell, Richard, Brookes, Matthew J.
Publikováno v:
In NeuroImage 1 October 2019 199:408-417
Autor:
Vaughan, Richard, Wawerla, Jens
We argue for the value of publishing the exact code, configuration and data processing scripts used to produce empirical work in robotics. In particular, we recommend publishing a unique identifier for the code package in the paper itself, as a promi
Externí odkaz:
http://arxiv.org/abs/1204.2235