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ROBOT2022: Fifth Iberian Robotics Conference

Advances in Robotics, Volume 2

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Danilo Tardioli

    1. Centro Universitario de la Defensa (CUD), Zaragoza, Spain

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  2. Vicente Matellán

    1. Grupo de Robótica, Universidad de León, León, Spain

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  3. Guillermo Heredia

    1. GRVC Robotics Lab, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain

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  4. Manuel F. Silva

    1. School of Engineering, Polytechnic Institute of Porto, Porto, Portugal

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  5. Lino Marques

    1. Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal

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  • Presents recent research in various field of Robotics
  • Provides proceedings of the ROBOT'2022: Fifth Iberian Robotics Conference
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 590)

Included in the following conference series:

Conference proceedings info: ROBOT 2022.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Intelligent Robotics

    1. Front Matter

      Pages 1-1
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    2. Deep Learning for Victims Detection from Virtual and Real Search and Rescue Environments

      • Christyan Cruz Ulloa, Miguel Garcia, Jaime del Cerro, Antonio Barrientos
      Pages 3-13

    3. Full-stack S-DOVS: Autonomous Navigation in Complete Real-World Dynamic Scenarios

      • Diego Martínez, Luis Riazuelo, Luis Montano
      Pages 14-25

    4. Artificial Stupidity in Robotics: Something Unwanted or Somehow Useful?

      • Juan Jesús Roldán-Gómez
      Pages 26-37

  3. Machine Learning in Robotics

    1. Front Matter

      Pages 39-39
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    2. Hand Gestures Recognition for an Intelligent Wheelchair Steering Command

      • Patricia Almeida, Brigida Monica Faria, Luis Paulo Reis
      Pages 41-52

    3. Object Segmentation for Bin Picking Using Deep Learning

      • Artur Cordeiro, Luís F. Rocha, Carlos Costa, Manuel F. Silva
      Pages 53-66

    4. Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning

      • Óscar Gil, Alberto Sanfeliu
      Pages 67-78

    5. An Inductive Logic Programming Approach for Entangled Tube Modeling in Bin Picking

      • Gonçalo Leão, Rui Camacho, Armando Sousa, Germano Veiga
      Pages 79-91

  4. Mobile Robot Olfaction

    1. Front Matter

      Pages 93-93
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    2. Aerial Robot with Electronic Nose for Air Quality Monitoring

      • Patricia Arroyo, Jaime Gómez-Suárez, José Luis Herrero, Jesús Lozano
      Pages 95-104

    3. Simulating a Gas Source Localization Algorithm with Gas Dispersion Produced by Recorded Outdoor Wind

      • Takumi Haratsu, Motoki Sakaue, Haruka Matsukura, Patrick P. Neumann, Hiroshi Ishida
      Pages 105-116

    4. Potential Field Based Swarm Exploration of Processes Governed by Partial Differential Equations

      • Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin
      Pages 117-129

    5. Consensus-Based Distributed Source Term Estimation with Particle Filter and Gaussian Mixture Model

      • Yang Liu, Matthew Coombes, Cunjia Liu
      Pages 130-141

    6. Evolving Swarm Formations for Odour Source Localisation

      • João Macedo, Lino Marques, Ernesto Costa
      Pages 142-153

    7. Evaluating Cognitive Odour Source Localisation Strategies in Natural Water Streams

      • Hugo Magalhães, Rui Baptista, Lino Marques
      Pages 154-165

    8. GadenTools: A Toolkit for Testing and Simulating Robotic Olfaction Tasks with Jupyter Notebook Support

      • Pepe Ojeda, Jose-Raul Ruiz-Sarmiento, Javier Monroy, Javier Gonzalez-Jimenez
      Pages 166-177

    9. Learning from the Past: Sequential Deep Learning for Gas Distribution Mapping

      • Nicolas P. Winkler, Oleksandr Kotlyar, Erik Schaffernicht, Han Fan, Haruka Matsukura, Hiroshi Ishida et al.
      Pages 178-188

    10. A Novel Odor Source Localization Method via a Deep Neural Network-Based Odor Compass

      • Zheng Yan, Tao Jing, Si-Wen Chen, Meh Jabeen, Qing-Hao Meng
      Pages 189-200
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Other volumes

  1. ROBOT2022: Fifth Iberian Robotics Conference

  2. ROBOT2022: Fifth Iberian Robotics Conference

Keywords

About this book

This book contains a selection of papers accepted for presentation and discussion at ROBOT 2022—Fifth Iberian Robotics Conference, held in Zaragoza, Spain, on November 23-25, 2022. ROBOT 2022 is part of a series of conferences that are a joint organization of SEIDROB—Sociedad Española para la Investigación y Desarrollo en Robótica/Spanish Society for Research and Development in Robotics, and SPR—Sociedade Portuguesa de Robótica/Portuguese Society for Robotic.

ROBOT 2022 builds upon several previous successful events, including three biennial workshops and the four previous editions of the Iberian Robotics Conference, and is focused on presenting the research and development of new applications, on the field of Robotics, in the Iberian Peninsula, although open to research and delegates from other countries.

ROBOT 2022 featured four plenary talks on state-of-the-art subjects on robotics and 15 special sessions, plus a main/general robotics track. In total, after a careful review process, 98 high-quality papers were selected for publication, with a total of 219 unique authors, from 22 countries.

 


Editors and Affiliations

  • Centro Universitario de la Defensa (CUD), Zaragoza, Spain

    Danilo Tardioli

  • Grupo de Robótica, Universidad de León, León, Spain

    Vicente Matellán

  • GRVC Robotics Lab, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain

    Guillermo Heredia

  • School of Engineering, Polytechnic Institute of Porto, Porto, Portugal

    Manuel F. Silva

  • Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal

    Lino Marques

Bibliographic Information

  • Book Title: ROBOT2022: Fifth Iberian Robotics Conference

  • Book Subtitle: Advances in Robotics, Volume 2

  • Editors: Danilo Tardioli, Vicente Matellán, Guillermo Heredia, Manuel F. Silva, Lino Marques

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-21062-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-21061-7Published: 19 November 2022

  • eBook ISBN: 978-3-031-21062-4Published: 18 November 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XXII, 627

  • Number of Illustrations: 21 b/w illustrations, 284 illustrations in colour

  • Topics: Robotics, Robotics and Automation, Computational Intelligence

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