Cost effective robots for smart precision spraying

Project Information

SCORPION

Grant agreement ID: 101004085

DOI 10.3030/101004085

Project closed

EC signature date 5 November 2020

Start date 1 January 2021

End date 31 December 2023

Funded under

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Total cost € 2 501 104,83

EU contribution € 2 270 606,00

Coordinated by

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA
Portugal

Deliverables

Open Research Data Pilot (2)

First version of the Data Management Plan

This document details the data management plan for the SCORPION project

Final version of the Data Management Plan

This document details the data managementplan for the SCORPION project.

Documents, reports (4)

Report with Perception System for VRT validated on the field

This document will present a report about the validation of perception and VRT systems under real conditions.

Report for fourth IV Step ( AGROB 20+AirBlast-Sprayer and AGROB v20 with Electrical-Sprayer )

This document will report the fourth integration test of SCORPION prototype

Report for third integration Step (AGROBV20+AirBlast-Sprayer and AGROBV20 with Electrical-Sprayer )

This document will report main outcomes of the third integration test for SCORPION prototype

Report about the benefits induced by the SCORPION sprayer on the vineyard used in integration V

This document will report the main benefits accomplished by the SCORPION prototype under Pilot.

Websites, patent fillings, videos etc. (2)

Communication material and record reports (project results)

This deliverable will merge and consolidate all SCORPION public results, material, videos, patents, and scientific publications in the SCORPION website.

Project Website and dissemination material

This deliverable contains the SCORPION communication material and a website that will be used to communicate the project results and main outcomes

Publications

Conference proceedings (3)

Path Planning with Hybrid Maps for processing and memory usage optimisation

Author(s): L. C. Santos, F. N. Santos, A. S. Aguiar, A. Valente and P. Costa
Published in: 2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2022
Publisher: IEEE
DOI: 10.1109/icarsc55462.2022.9784767

FollowMe - A Pedestrian Following Algorithm for Agricultural Logistic Robots

Author(s): J. Sarmento, F. N. D. Santos, A. S. Aguiar, H. Sobreira, C. V. Regueiro and A. Valente
Published in: 2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2022, Page(s) 179-185
Publisher: IEEE
DOI: 10.1109/icarsc55462.2022.9784791

Autonomous Robot Visual-Only Guidance in Agriculture Using Vanishing Point Estimation

Author(s): José Sarmento, André Silva Aguiar, Filipe Neves dos Santos & Armando Jorge Sousa
Published in: Progress in Artificial Intelligence. EPIA 2021. Lecture Notes in Computer Science(, 2021
Publisher: Progress in Artificial Intelligence. EPIA 2021. Lecture Notes in Computer Science(
DOI: 10.1007/978-3-030-86230-5_1

Peer reviewed articles (2)

Localization and Mapping on Agriculture Based on Point-Feature Extraction and Semiplanes Segmentation From 3D LiDAR Data

Author(s): André Silva Aguiar, Filipe Neves dos Santos, Héber Sobreira, José Boaventura-Cunha, and Armando Jorge Sousa
Published in: Frontiers in Robotics and AI, 2022, ISSN 2296-9144
Publisher: Frontiers in Robotics and AI
DOI: 10.3389/frobt.2022.832165

Collision Avoidance Considering Iterative Bézier Based Approach for Steep Slope Terrains

Author(s): L. C. Santos, F. N. Santos, A. Valente, H. Sobreira, J. Sarmento and M. Petry
Published in: IEEE Access, Issue IEEE Access, 2022, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3153496