Recent Advances in Robotic Perception for Forestry
暫譯: 森林領域機器人感知的最新進展

Portugal, David

  • 出版商: Springer
  • 出版日期: 2026-05-19
  • 售價: $8,140
  • 貴賓價: 9.5$7,733
  • 語言: 英文
  • 頁數: 622
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032158117
  • ISBN-13: 9783032158116
  • 相關分類: Computer Vision
  • 海外代購書籍(需單獨結帳)

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商品描述

This book addresses all aspects of artificial perception in forest environments, including localization, mapping, traversability analysis, semantic segmentation, metric-semantic mapping, scene understanding, and multi-robot architectures. Forests are among the most complex and challenging environments for robotic perception. They are dynamic, unstructured, and unpredictable, with variable weather and lighting conditions, dense canopy, rough terrain, and unreliable GNSS signals. These conditions have delayed the large-scale introduction of autonomous systems into forestry, despite the clear potential for robotics to transform tasks such as landscape maintenance, wildfire prevention, tree health monitoring, and precision harvesting.

Recent Advances in Robotic Perception for Forestry explores innovative developments that aim to bridge this gap. It addresses advances in sensing, perception, and learning and how they enable autonomous ground, aerial, and manipulator systems to operate effectively in forested landscapes.

Forestry robotics is an emerging field at the intersection of automation, AI, and sustainable land management. Tasks that are often dangerous or physically demanding for humans can, in many cases, be reliably perceived and executed by robots. This book discusses current technologies, ongoing research, and future directions in areas such as multi-sensor fusion, robust navigation, environmental monitoring, and precision forestry.

Featuring contributions from leading researchers, this book offers both foundational insights and practical solutions. It is designed for academics, engineers, and industry professionals interested in applying robotic perception to real-world forestry problems, pushing the frontier of sustainable automation in one of the most demanding domains for robotics.

商品描述(中文翻譯)

這本書探討了森林環境中人工感知的各個方面,包括定位、地圖製作、可通行性分析、語義分割、度量-語義地圖、場景理解和多機器人架構。森林是機器人感知中最複雜和具挑戰性的環境之一。它們是動態的、無結構的和不可預測的,具有變化的天氣和光照條件、密集的樹冠、崎嶇的地形以及不可靠的全球導航衛星系統(GNSS)信號。這些條件延遲了自主系統在林業中的大規模引入,儘管機器人明顯有潛力改變如景觀維護、野火預防、樹木健康監測和精準收穫等任務。

《林業機器人感知的最新進展》探討了旨在彌補這一差距的創新發展。它涉及感測、感知和學習的進展,以及這些進展如何使自主地面、空中和操作系統能夠在森林景觀中有效運作。

林業機器人學是一個新興領域,位於自動化、人工智慧(AI)和可持續土地管理的交匯處。對人類來說,通常危險或體力要求高的任務,在許多情況下可以被機器人可靠地感知和執行。本書討論了當前技術、正在進行的研究以及在多感測器融合、穩健導航、環境監測和精準林業等領域的未來方向。

本書匯集了領先研究者的貢獻,提供了基礎見解和實用解決方案。它旨在為學術界、工程師和行業專業人士提供有興趣將機器人感知應用於現實林業問題的資源,推動在機器人最具挑戰性的領域之一的可持續自動化的前沿。

作者簡介

David Portugal holds a M.Sc. degree (2009) in Electrical Engineering and Computers and a Ph.D. (2014) in Automation and Robotics from the University of Coimbra (UC), Portugal. His main research interests include artificial perception, localization and mapping, sensor fusion, distributed multi-robot systems, robot software architectures, and hardware integration for mobile robots. Over the course of his career, he has developed deep expertise in these areas, combining academic research with applied innovation. Currently, Dr. Portugal is an assistant professor at the University of Coimbra and a Senior Researcher at the Institute of Systems and Robotics of the University of Coimbra (ISR-UC). He has played an active role in numerous European and national research projects, including CHOPIN, TIRAMISU, Social Robot, CogniWin, GrowMeUp, STOP, CORE, SEMFIRE, WoW, 5GSmartFact, TRUSTID, Packaging of the Future, AIGreenBots, ForestSphere, and RUGGED. These projects span the areas of applied robotics, human-robot interaction, sensor fusion.

作者簡介(中文翻譯)

大衛·葡萄牙(David Portugal)於2009年獲得葡萄牙科英布拉大學(University of Coimbra, UC)電機工程與計算機碩士學位,並於2014年獲得自動化與機器人博士學位。他的主要研究興趣包括人工感知、定位與地圖製作、感測器融合、分散式多機器人系統、機器人軟體架構以及移動機器人的硬體整合。在他的職業生涯中,他在這些領域積累了深厚的專業知識,將學術研究與應用創新相結合。目前,葡萄牙博士是科英布拉大學的助理教授,並擔任科英布拉大學系統與機器人研究所(Institute of Systems and Robotics of the University of Coimbra, ISR-UC)的高級研究員。他在多個歐洲及國家研究項目中扮演了積極的角色,包括CHOPIN、TIRAMISU、社交機器人(Social Robot)、CogniWin、GrowMeUp、STOP、CORE、SEMFIRE、WoW、5GSmartFact、TRUSTID、未來包裝(Packaging of the Future)、AIGreenBots、ForestSphere和RUGGED。這些項目涵蓋了應用機器人學、人機互動和感測器融合等領域。