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Publicações

Publicações por Jorge Miguel Mendes

2017

Path Planning for Automatic Recharging System for Steep-Slope Vineyard Robots

Autores
Santos, L; dos Santos, FN; Mendes, J; Ferraz, N; Lima, J; Morais, R; Costa, P;

Publicação
ROBOT 2017: Third Iberian Robotics Conference - Volume 1, Seville, Spain, November 22-24, 2017

Abstract

2016

Vine trunk detector for a reliable robot localization system

Autores
Mendes, J; dos Santos, FN; Ferraz, N; Couto, P; Morais, R;

Publicação
2016 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2016)

Abstract
Develop ground robots for crop monitoring and harvesting in steep slope vineyards is a complex challenge due to two main reasons: harsh condition of the terrain and unstable localization accuracy got from Global Positioning Systems (GPS). For this context, a reliable localization system requires a high density of natural/artificial features and an accurate detector. This paper presents a novel visual detector for Vineyards Trunks and Masts (ViTruDe). The ViTruDe detector was developed considering the constrains of a cost-effective robot to carry-out crop monitoring tasks in steep slope vineyard environment. The obtained results with real data shows an accuracy higher than 95% for all tested configurations. The training and test data are made public for future research work. This approach is a contribution for an accurate and reliable localization system that is GPS-free.

2018

Distributed monitoring system for precision enology of the Tawny Port wine aging process

Autores
Morais, R; Peres, E; Boaventura Cunha, J; Mendes, J; Cosme, F; Nunes, FM;

Publicação
Computers and Electronics in Agriculture

Abstract

2018

Path planning for automatic recharging system for steep-slope vineyard robots

Autores
Santos, L; dos Santos, FN; Mendes, J; Ferraz, N; Lima, J; Morais, R; Costa, P;

Publicação
Advances in Intelligent Systems and Computing

Abstract
Develop cost-effective ground robots for crop monitoring in steep slope vineyards is a complex challenge. The terrain presents harsh conditions for mobile robots and most of the time there is no one available to give support to the robots. So, a fully autonomous steep-slope robot requires a robust automatic recharging system. This work proposes a multilevel system that monitors a vineyard robot autonomy, to plan off-line the trajectory to the nearest recharging point and dock the robot on that recharging point considering visual tags. The proposed system called VineRecharge was developed to be deployed into a cost-effective robot with low computational power. Besides, this paper benchmarks several visual tags and detectors and integrates the best one into the VineRecharge system. © Springer International Publishing AG 2018.

2018

Redundant robot localization system based in wireless sensor network

Autores
Reis, R; Mendes, J; dos Santos, FN; Morais, R; Ferraz, N; Santos, L; Sousa, A;

Publicação
2018 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018, Torres Vedras, Portugal, April 25-27, 2018

Abstract

2018

Path planning aware of soil compaction for steep slope vineyards

Autores
Santos, L; Ferraz, N; Neves Dos Santos, F; Mendes, J; Morais, R; Costa, P; Reis, R;

Publicação
18th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018

Abstract
The intensive use of agricultural machinery is promoting the soil compaction. The use of agricultural robots or autonomous machinery can intensify this problem, due its capacity to replicate the same trajectories. One of the possible strategies to minimize the effects of soil compaction is to control agricultural traffic instead of common random traffic. Since geo-referencing systems are present in almost all field operations it is possible to optimize trajectories to avoid to damage the crop and intensify the soil compaction. The controlled agricultural traffic on farms will not only increase production capacity, the incomes as well as the quality of the soil. In this work a novel approach based on A-star algorithm is proposed to reduce soil compaction in steep slope vineyards. © 2018 IEEE.

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