The iCub multisensor datasets for robot and computer vision applications

03/04/2020
by   Murat Kirtay, et al.
0

This document presents novel datasets, constructed by employing the iCub robot equipped with an additional depth sensor and color camera. We used the robot to acquire color and depth information for 210 objects in different acquisition scenarios. At this end, the results were large scale datasets for robot and computer vision applications: object representation, object recognition and classification, and action recognition.

READ FULL TEXT

page 2

page 3

page 4

page 5

research
03/14/2021

Vision based range and bearing algorithm for robot swarms

This paper presents a novel computer vision the algorithm proposed for t...
research
09/14/2020

A Multisensory Learning Architecture for Rotation-invariant Object Recognition

This study presents a multisensory machine learning architecture for obj...
research
12/17/2022

iCub! Do you recognize what I am doing?: multimodal human action recognition on multisensory-enabled iCub robot

This study uses multisensory data (i.e., color and depth) to recognize h...
research
01/12/2021

Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot

Robotics can be defined as the connection of perception to action. Takin...
research
09/28/2017

Are we Done with Object Recognition? The iCub robot's Perspective

We report on an extensive study of the current benefits and limitations ...
research
12/05/2022

Construction of Object Boundaries for the Autopilotof a Surface Robot from Satellite Imagesusing Computer Vision Methods

An algorithm and a program for detecting the boundaries of water bodies ...
research
05/19/2014

Use of Computer Vision to Detect Tangles in Tangled Objects

Untangling of structures like ropes and wires by autonomous robots can b...

Please sign up or login with your details

Forgot password? Click here to reset