paper-with-me

Papers

iCub World: Friendly Robots Help Building Good Vision Data-Sets

2013-06-15 · Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone

In this paper we present and start analyzing the iCub World data-set, an object recognition data-set, we acquired using a Human-Robot Interaction (HRI) scheme and the iCub humanoid robot platform. Our set up allows for rapid acquisition and annotation of data with corresponding ground truth. While more constrained in its scopes -- the iCub world is essentially a robotics research lab -- we demonstrate how the proposed data-set poses challenges to current recognition systems. The iCubWorld data-set is publicly available. The data-set can be downloaded from: http://www.iit.it/en/projects/data-sets.html.

📄 PDF Abstract BibTeX arXiv:1306.3560

Code (0)

등록된 구현이 없습니다.

Tasks

Object Recognition

Similar Papers 제목 키워드 기반

Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?

2015-04-13 · Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco 외

The ability to visually recognize objects is a fundamental skill for robotics systems. Indeed, a large variety of tasks involving manipulation, navigation or interaction with other agents, deeply depends on the accurate …

Image RetrievalObject RecognitionRetrieval

Robot-Friendly Cities

2019-10-22 · Seng W. Loke

Robots are increasingly tested in public spaces, towards a future where urban environments are not only for humans but for autonomous systems. While robots are promising, for convenience and efficiency, there are challen…

The HAPPY HEDGEHOG Project

2023-08-30 · Oliver Bendel, Emanuel Graf, Kevin Bollier

Semi-autonomous machines, autonomous machines and robots inhabit closed, semi-closed and open environments, more structured environments like the household or more unstructured environments like cultural landscapes or th…

Ethics

Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution

2020-07-06 · Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel 외

Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a…

Image Super-ResolutionSuper-Resolution

Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot

2023-11-09 · Carlo Mazzola, Francesco Rea, Alessandra Sciutti

Addressee Estimation is the ability to understand to whom a person is talking, a skill essential for social robots to interact smoothly with humans. In this sense, it is one of the problems that must be tackled to develo…