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Passive suspension Rover for minimally invasive monitoring of agricultural areas

Grant number: 16/09970-0
Support type:Scholarships in Brazil - Master
Effective date (Start): August 01, 2016
Effective date (End): November 23, 2018
Field of knowledge:Agronomical Sciences - Agricultural Engineering
Principal Investigator:Marcelo Becker
Grantee:Vitor Akihiro Hisano Higuti
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):17/00033-7 - LiDAR-based navigation system for ground autonomous mobile robot in corn field, BE.EP.MS

Abstract

Environmental, economical, populational and technological factors have been forming a propitious conjuncture to rising investments in research and development applied to agricultural area. The field is not anymore a space limited to rustic and manual techniques, but rather a true laboratory in which last century technologies, as robotics, have been applied. Already tested and consolidated in other industrial and academic areas, robotic theories have been showing promising results when applied to agricultural field. Nevertheless, it still demands great advances to guarantee robustness and safety in a workspace quite susceptible to changes, either done by nature itself or by action of agricultural machines used in multiple stages of the farming process. In this context, since 2010, Mobile Robotics Laboratory (LabRoM) of School of Engineering of São Carlos (EESC-USP) has been developing mobile robotics projects, either terrestrial or aerial, to act in agricultural field. Thus, giving sequence to works developed in this line of research by the candidate, while in internship in Embrapa Instrumentation/LabRoM, and by other members of the laboratory, this project has the ultimate goal of achieving capability of autonomous navigation for a robotics platform in agricultural field using two strategies in harmony: global navigation with GPS receiver and reactive local navigation with a LiDAR rangefinder sensor. While Dijkstra algorithm is used to supply the minimal path between interest points to be reached in the field, perception algorithms with LiDAR provides instantaneous knowledge of robot's surroundings, in such a way that it will have enough information to always travel without damaging the crop. For this purpose, cooperates with Embrapa in the following approved projects: CNPq 482679/2013-1, CNPq 403405/2013-0 and CNPq 479994/2013-7.