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Joan Roca

dblp:43/2976 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0001-5875-8381ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot navigation and mapping · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
mobile robot evaluation
0.112005
Measuring Coverage Performances of a Floor Cleaning Mobile Robot Using a Vision System · ICRA 2005
Performance modeling and evaluation
benchmarking
0.112005
Measuring Coverage Performances of a Floor Cleaning Mobile Robot Using a Vision System · ICRA 2005

Methods — techniques the papers use, named apart from their topics

vision-based measurement · 0.2
YearPublicationVenuePosition
2005 Measuring Coverage Performances of a Floor Cleaning Mobile Robot Using a Vision System
abstract
This work introduces a method and apparatus for measuring real mobile robot cleaning performances based on a dedicated vision system. The measurement method can be applied to any kind of floor cleaning mobile robot but in this work it has been applied to a proprietary design. The paper presents the analysis of the first results obtained and ends with the main conclusions.
Jordi Palacín, Tomàs Pallejà, Ignasi Valgañón, Ramón Pernia, Joan Roca
ICRA5
1998 A new non-linear system for estimating and suppressing narrowband interference in PN spread spectrum modulation
abstract
This work develops a novel dynamic fuzzy logic system that, based on a fuzzy basis function expansion, successfully solves the non-linear problem of narrowband interference prediction and rejection in DS-SS. A fuzzy basis function representation provides a natural framework for combining both numerical and linguistic information in a uniform fashion. The result is a low complexity non-linear adaptive line enhancer, which offers a faster convergence rate and an overall better performance over other well-known non-linear line enhancers.
Ana I. Pérez-Neira, Joan Roca, Miguel Angel Lagunas
ICASSP2