Path Planning approach with the extraction of Topological Maps from Occupancy Grid Maps in steep slope vineyards

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Luís Santos (Autor) Outra; Filipe Neves Santos (Autor) FEUP; Sandro Magalhães (Autor) Outra; Pedro Luís Cerqueira Gomes da Costa (Autor) FEUP; Ricardo Reis (Autor) Outra

Ata de Conferência Internacional

Título: 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)

Páginas: 26-32

19th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

Gondomar, PORTUGAL, APR 24-26, 2019

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 24 Citações

Outras Informações

ID Authenticus: P-00Q-HX8

DOI: 10.1109/icarsc.2019.8733630

Abstract (EN): Robotic platforms are being developed for precision agriculture, to execute repetitive and long term tasks. Autonomous monitoring, pruning, spraying and harvesting are some of these agricultural tasks, which requires an advanced path planning system aware of maximum robot capabilities (mobile platform and arms), terrain slopes and plant/fruits position. The state of the art path planning systems have two limitations: are not optimized for large regions and the path planning is not aware of agricultural tasks requirements. This work presents two solutions to overcome these limitations. It considers the VGR2TO (Vineyard Grid Map to Topological) approach to extract from a 2D grid map a topological map, to reduce the total amount of memory needed by the path planning algorithm and to reduce path search space. Besides, introduces an extension to the chosen algorithm, the Astar algorithm, to ensure a safe path and a maximum distance from the vine trees to enable robotic operations on the tree and its fruits.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7