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Robot Perception and Learning

A Human-Aware Navigation and Long-Term Autonomy Perspective

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  • © 2026

Overview

  • Is aimed at practitioners in the field with a certain knowledge base
  • Learns how mobile robotics is being applied in real-world scenarios
  • Gains insights into embodied intelligence

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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  • 1 Citation

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About this book

This book is divided into five chapters. Chapter 1 introduces the background of the research, the content positioning, and some related open source resources. Chapter 2 discusses some benchmarking issues related to the field of embodied intelligence and mobile robotics. Chapter 3 introduces robot perception, especially the object detection and tracking based on 3D lidar with contemporary characteristics. Chapter 4 introduces robot learning, especially robot online learning methods with strong embodied intelligence features. Chapter 5 summarizes the book and provides prospects for future research and application directions.
Reading this book helps readers have a systematic understanding of the latest research in related fields. The book mainly introduces methods and principles, and the corresponding experimental results need to refer to the corresponding scientific papers. This book is aimed at practitioners in the field with a certain knowledge base, including but not limited to graduate students, Ph.D. students, postdocs, etc.

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Table of contents (5 chapters)

Authors and Affiliations

  • Computer Science and Systems Engineering Laboratory (U2IS), ENSTA—Institut Polytechnique de Paris, Palaiseau, France

    Zhi Yan

About the author

Dr. Zhi Yan is currently a teacher-researcher of computer science at ENSTA - Institut Polytechnique de Paris, France. From 2017 to 2024, he was an Assistant Professor of computer science and a Referent for open science at the Université de technologie de Belfort Montbéliard (UTBM), France. From 2016 to 2017, he was a Postdoctoral Research Fellow in the Lincoln Centre for Autonomous Systems (L-CAS) at the University of Lincoln, UK, mainly working on the Horizon 2020 project FLOBOT, but also involved in the Horizon 2020 project ENRICHME.  From 2013 to 2015, he was a Postdoctoral Research Fellow in software engineering for mobile robotics in the CAR Team at the École des Mines de Douai, France. From 2009 to 2012, he was a Ph.D. student in multi-robot systems in the Laboratoire d'Intelligence Artificielle de Saint-Denis (LIASD, founded in 1969) at the Université Paris 8. He has been a visiting scholar at TU Wien (Austria), CTU (Czechia), Hunan University (China), and Central South University (China). As the first or co-first author, one of his papers was ranked among the “ESI Top 1% Highly Cited Papers”, and another was named the “Best Paper of 2020” by the journal Intelligent Service Robotics.

Accessibility Information

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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

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This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. Math is represented either as MathML, LaTeX or in images. If math is represented as image, Alt Text might not be present. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Robot Perception and Learning

  • Book Subtitle: A Human-Aware Navigation and Long-Term Autonomy Perspective

  • Authors: Zhi Yan

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-981-96-7094-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026

  • Softcover ISBN: 978-981-96-7093-2Published: 23 July 2025

  • eBook ISBN: 978-981-96-7094-9Published: 22 July 2025

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: XVI, 100

  • Number of Illustrations: 5 b/w illustrations, 35 illustrations in colour

  • Topics: Robotics, Artificial Intelligence, Machine Learning

Keywords

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