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R. Vaughan

4 papers hereh-index 355.6k citations107 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO4
same name
  • R. Vaughan — 3 papers, h 36
  • R. Vaughan — 2 papers, h 29
  • R. Vaughan — 1 paper, h 7
  • R. Vaughan — 1 paper
  • R. Vaughan — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedUAV Visual Teach and Repeat Using Only Semantic Object Features

8 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2020

LBGP: Learning Based Goal Planning for Autonomous Following in Front

Payam Nikdel, Richard Vaughan, Mo Chen

This paper investigates a hybrid solution which combines deep reinforcement learning (RL) and classical trajectory planning for the following in front application. Here, an autonom…

cs.RO2019

Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps

Payam Nikdel, Richard Vaughan

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…

cs.RO2019

Commodifying Pointing in HRI: Simple and Fast Pointing Gesture Detection from RGB-D Images

Bita Azari, Angelica Lim, Richard T. Vaughan

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-…

cs.RO2018★ 8 cited

UAV Visual Teach and Repeat Using Only Semantic Object Features

Amirmasoud Ghasemi Toudeshki, Faraz Shamshirdar, Richard Vaughan

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.