activity
20172020
most citedUAV Visual Teach and Repeat Using Only Semantic Object Features

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 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…

cs.CV2017★ 1 cited

Active Image-based Modeling with a Toy Drone

Rui Huang, Danping Zou, Richard Vaughan +1

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, wh…