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Link to original content: https://doi.org/10.1007/978-3-030-95892-3
Intelligent Autonomous Systems 16: Proceedings of the 16th International Conference IAS-16 | SpringerLink
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Intelligent Autonomous Systems 16

Proceedings of the 16th International Conference IAS-16

  • Conference proceedings
  • © 2022

Overview

  • Presents the latest research and innovations in intelligent autonomous systems
  • Addresses the emerging role of autonomous robots in industrial production
  • Offers a rich source of ideas for new research directions

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 412)

Included in the following conference series:

Conference proceedings info: IAS 2021.

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About this book

This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design—as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986.

Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com

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Keywords

Table of contents (53 papers)

  1. Localization and SLAM

  2. Navigation

  3. Application

Other volumes

  1. Intelligent Autonomous Systems 16

Editors and Affiliations

  • Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore

    Marcelo H. Ang Jr

  • Department of Precision Engineering, University of Tokyo, Tokyo, Japan

    Hajime Asama

  • Singapore Institute of Manufacturing Technology, Singapore, Singapore

    Wei Lin

  • Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore

    Shaohui Foong

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