XIII Congreso Internacional de Computación e Informática de Norte de Chile (INFONOR - 2022)

Session

VI Workshop In Automation And Robotics Systems (Wars 2022)

INFNR-WARS

30 Sept 2022, 09:00

Sala 2 (VC Reuna - UNAP)

Conveners

VI Workshop In Automation And Robotics Systems (Wars 2022): Invited Talks

• Rafael Angel Orellana Prato (Universidad Católica del Norte)
• Alvaro Prado Romo (Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte)

VI Workshop In Automation And Robotics Systems (Wars 2022): Short Presentation

• Rafael Angel Orellana Prato (Universidad Católica del Norte)
• Alvaro Prado Romo (Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte.)

Description

The Workshop in Automation and Robotics Systems is aimed at building a space in which students, academics, professionals, and researchers disseminate the up-today progress of the scientific and professional activity in disciplines of Automation, Robotics, and other related- areas applied to the Industry and Service fields.

20. Kinematic Modeling and Control Design for Automated Articulated Vehicles

Dr Maciej Marcin Michalek (Automatic Control and Robotics of the Poznan University of Technology (PUT), Poland)

30/09/2022, 09:00

Current development trends in the freight and public transportation lead to the so-called Large Capacity Vehicles, which in most practical applications become articulated structures. Maneuvering with multi-articulated vehicles is especially difficult, burdening, and can be even dangerous, also for experienced human-drivers. Although most of the people intuitively agrees with the challenging...

21. Desafíos actuales en la robótica aplicada al tratamiento, cosecha y transporte de frutos

Dr César Leonardo Guevara Gordillo (Miembro active de Lincoln center of Agri-food Technology (LIAT) y del Lincoln Center of Autonomous Systems (LCAS))

30/09/2022, 10:00

La introducción de robots para la automatización de procesos agrícolas tiene un gran potencial para resolver varios de los problemas actuales como la escases de mano de obra y el impacto ambiental producto de usar maquinaria pesada o químicos en el cuidado de cultivos. Actualmente existen soluciones comerciales para el tratamiento de cultivos que usan vehículos aéreos no tripulados, también...

22. SLIDING MODE CONTROL: A Perspective from Empirical Models for Industrial Applications

Dr Oscar Eduardo Camacho Quintero (University of South Florida (USF). Tampa USA Senior Lecturer in Computer Science in the Department of Computer Science at City, University of London)

30/09/2022, 11:00

23. A simulation toolbox for images and point cloud annotations on agricultural scenarios

Dr Darío Guevara (Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile. Postdoctoral scholar at the University of California Davis.)

30/09/2022, 12:00

In recent years, there has been a great interest in applications of machine learning in agricultural environments. However, for many agricultural machine learning problems, training datasets are site-specific (e.g., light condition, time of the day, one time of the season), making it not trivial to obtain a model that can generalize abroad crop type, cultivar, management, season, among others....

24. Distributed predictive secondary control for economic dispatch in hybrid AC/DC microgrids

Dr Alex Navas Fonseca (the Department of Engineering Sciences at Universidad Andrés Bello, Chile.)

30/09/2022, 12:20

Hybrid AC/DC microgrids (H-MGs) are a prominent solution for integrating distributed generation and modern AC and DC loads. However, controlling these systems is challenging as multiple electrical variables need to be controlled and coordinated. To provide flexibility to the control system, these variables can be regulated to specific values or within secure bands. This work proposes a set of...

25. Análisis de las capacidades de recolección de energía de campo eléctrico usando hojas naturales

Dr Oswaldo Menendez (Universidad Andrés Bello)

30/09/2022, 12:40

Los recolectores de energía de campo eléctrico (por sus siglas en inglés, electric field energy harvesters EFEHs) son fuentes de energía confiables y sostenibles que pueden usarse para alimentar nodos de sensores inalámbricos (WSN) en redes urbanas de Internet de las cosas (IoT), reemplazando las baterías tradicionales. A pesar de la efectividad de la tecnología, las implementaciones a gran...