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Título: | Sensing and Artificial Perception for Robots in Precision Forestry: A Survey | Autor: | Ferreira, João Filipe Portugal, David Andrada, Maria Eduarda Machado, Pedro Rocha, Rui P. Peixoto, Paulo |
Palavras-chave: | sensors; artificial perception; forestry robotics; precision forestry; agricultural robotics | Data: | 2023 | Editora: | MDPI | Projeto: | This research was co-financed by the Programa Operacional Regional do Centro, Portugal 2020, European Union FEDER Fund, Projects: CENTRO-01-0247-FEDER-037082 (CORE—Centro de Operações para Repensar a Engenharia), CENTRO-01-0247-FEDER-032691 (SEMFIRE—safety, exploration, and maintenance of forests with ecological robotics) and CENTRO-01-0247-FEDER-045931 (SAFEFOREST—Semi-Autonomous Robotic System for Forest Cleaning and Fire Prevention), and the Portuguese Foundation for Science and Technology (FCT) under the Affiliated Ph.D. CMU Portugal Programme, reference PRT/BD/152194/2021, and under the Scientific Employment Stimulus 5th Edition, contract reference 2022.05726.CEECIND. | Título da revista, periódico, livro ou evento: | Robotics | Volume: | 12 | Número: | 5 | Resumo: | Artificial perception for robots operating in outdoor natural environments, including forest scenarios, has been the object of a substantial amount of research for decades. Regardless, this has proven to be one of the most difficult research areas in robotics and has yet to be robustly solved. This happens namely due to difficulties in dealing with environmental conditions (trees and relief, weather conditions, dust, smoke, etc.), the visual homogeneity of natural landscapes as opposed to the diversity of natural obstacles to be avoided, and the effect of vibrations or external forces such as wind, among other technical challenges. Consequently, we propose a new survey, describing the current state of the art in artificial perception and sensing for robots in precision forestry. Our goal is to provide a detailed literature review of the past few decades of active research in this field. With this review, we attempted to provide valuable insights into the current scientific outlook and identify necessary advancements in the area. We have found that the introduction of robotics in precision forestry imposes very significant scientific and technological problems in artificial sensing and perception, making this a particularly challenging field with an impact on economics, society, technology, and standards. Based on this analysis, we put forward a roadmap to address the outstanding challenges in its respective scientific and technological landscape, namely the lack of training data for perception models, open software frameworks, robust solutions for multi-robot teams, end-user involvement, use case scenarios, computational resource planning, management solutions to satisfy real-time operation constraints, and systematic field testing. We argue that following this roadmap will allow for robotics in precision forestry to fulfil its considerable potential. | URI: | https://hdl.handle.net/10316/111816 | ISSN: | 2218-6581 | DOI: | 10.3390/robotics12050139 | Direitos: | openAccess |
Aparece nas coleções: | FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais I&D ISR - Artigos em Revistas Internacionais |
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Ficheiro | Descrição | Tamanho | Formato | |
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Sensing-and-Artificial-Perception-for-Robots-in-Precision-Forestry-A-SurveyRobotics.pdf | 28.63 MB | Adobe PDF | Ver/Abrir |
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