Workshop Chair : Mg. Ricardo Pérez (UCN – rperez@ucn.cl) and Dr. Javier Prado (UCN)
Date: Thursday, September 2nd
Time: 09:00 (See details in the Schedule)
Playlist: Youtube
The Automation and Robotics Workshop aims to create a working space in which students, academics, professionals and researchers can annually present the state of the art in the disciplines of Automation and Robotics in the Scientific, Industrial, Services and Educational fields.
Mg. Ricardo Pérez Sánchez
Universidad Católica del Norte, Antofagasta, Chile.
Translation: Currently under the paradigms of “Industry 4.0”, “Smart City” and “Smart Home”, there is a significant increase in connecting the largest number of devices to the Internet, known as IOT. This presentation will be divided into two parts, the first part aims to clarify many concepts that are well known regarding “Internet of Things”, but still a bit fuzzy on what they mean. We will dedicate ourselves to understand what are all the components necessary to say that we have an IOT application and how these components interact with each other.
The second part is a real application carried out by the author in the second region, where the traceability of high tonnage transport components has been generated, with IOT devices, which allow a more efficient operation of the transfer and a significant reduction of cases for companies that require these transfers.
Academician of the Department of Systems and Computer Engineering. Electronic Engineer. Master in Computer Engineering.
Mg. Felix Nilo Bustios
Universidad Católica del Norte, Antofagasta, Chile.
Translation: In this paper, we report the research work that allowed us to present the design and implementation of an Autonomous Surface Vehicle Prototype (ASVP) and a new control strategy based on a dual PID control loop. The first section of the paper analyzes the current state of the art by exposing what is currently being done referring to similar control approaches. The second, third and fourth sections discuss how the design, implementation of the control system and communication of the ASVP with a Remote system is performed. The fifth section presents a validation of the test by means of tests on a controlled environment in addition to an analysis of the results obtained. Finally, in the last section, conclusions regarding the prototype and the scope of this project are presented.
He holds a degree in civil engineering in computer science from the Universidad Católica del Norte, and a master’s degree in computer science from the same institution. He is currently leading projects focused on innovation applied to the marine environment and agriculture by inserting unmanned vehicles using advanced control systems and other tools linked to artificial intelligence.
Mg. Guiovanny Suarez Rivera and Mg. Nelson David Muñoz Ceballos
Politécnico Colombiano Jaime Isaza Cadavid, Colombia.
Translation: The design and implementation of controllers for trajectory tracking of mobile robots is presented. A set of criteria for comparing the performance of the control algorithms are described, which help to determine the controller with better performance, higher accuracy in trajectory tracking, as well as lower mechanical and energy wear, due to smooth and precise robot movements.
Guiovanny Suarez Rivera: Instrumentation and control engineer, master’s degree in automation and industrial control, professor of robotics and systems identification.
Nelson David Muñoz Ceballos: Electronic Engineer, master’s degree in automation and industrial control, professor of electronics and mechatronics.
Dr. Carlos Velasquez Ospina
Universidad Católica del Norte, Antofagasta, Chile.
Translation: This paper presents the results of the research work carried out as a Master Thesis by the author. It presents the possibility that a quadcopter can perform autonomous trajectories at low altitude thanks to the use of an optical flow camera that allows detecting displacement in the plane (X,Y) as a mouse does in a computer.
Carlos Velasquez Ospina, born in Medellin Colombia, is an instrumentation and control engineer, from the Politécnico Colombiano Jaime Isaza Cadavid. He holds a Master’s degree in Computer Engineering from the Universidad Católica del Norte, Antofagasta Chile.
Dr. Álvaro Prado Romo
Universidad Católica del Norte, Antofagasta, Chile.
As part of the currently renowned Forth Industrial Revolution or Industry 4.0, the Internet of Things -IoT is a cornerstone of the digital evolution that has emerged with the physical-world interconnectivity, big data technologies, and large storage with high-performance computing capabilities to create new opportunities for data intensive science and applicability in the multi-disciplinary agri-technology domain. IoT has open the door to access real-time data and the introduction of cyber-physical systems. In such sense, prediction models, obtained from data collected from previous experiences or generated from first principles, provide characteristics under which robust control actions can be suitably performed. This talk will afford introductory ideas of current challenges that the interaction of things implies and provide some tools useful for tele-operation in smart agriculture. The ideas will be illustrated in joint interaction with the attendees through practical examples of Precision Agriculture in the phenotyping process, including guidance, navigation, and collaborative control of autonomous service units subject to the holistic interaction of the environment
Álvaro Javier Prado nació en Atuntaqui-Imbabura, Ecuador. Se graduó con título de Ingeniero en Automatización y Control de la Escuela Politécnica Nacional (EPN) en 2010. Fue profesor auxiliar en la EPN en el Departamento de Ciencias, en 2010-2011. Investigador principal en el área de Guiado, Navegación y Control de UAVs en el Centro de Investigación y Desarrollo de la Fuerza Aérea Ecuatoriana CIDFAE, desde 2011 al 2014. Se recibió de doctor en Ingeniería Electrónica de la Universidad Técnica Federico Santa María, Valparaíso, Chile, en 2019. Recibió condecoración en la Fuerza Aérea Ecuatoriana al mérito de Investigador en 2013, y por la Comisión Nacional de Investigación, Ciencia y Tecnología en 2014. Ponente en congresos Nacionales e Internacionales. Asistente académico de cursos de grado y posgrado en el Departamento de Ciencias de la Computación de la Universidad Técnica Federico Santa María, Valparaíso, Chile. Investigador en el Advance Center of Electric and Electronic Engineering (AC3E) bajo los proyectos FONDECYT, desde 2014 al 2019. Profesor en Computer Science – Machine Learning de la Escuela de Formación Continua de la Universidad Técnica Equinoccial (UTE), en 2019. Profesor de los cursos del Diplomado Internacional Industria 4.0 y Tecnologías IoT en la Pontificia Universidad Católica de Valparaíso, 2019-2020. Realizó un postdoctorado en la Universidad Católica de Chile, 2019-2020. Actualmente es académico del Departamento de Ingeniería de Sistemas y Computación de la Universidad Católica del Norte, Antofagasta, Chile.
Sus áreas de interés incluyen Inteligencia Artificial, Machine Learning, Industria 4.0, IoT, Sistemas de Control Moderno, Optimización, Control Predictivo, Movilidad Autónoma, Agricultura.
Dr. Jean Pierre Díaz Paz
Politécnico Colombiano Jaime Isaza Cadavid, Colombia.
This talk will show applications in which images in different spectra are used for decision-making in various fields that include industry, agriculture, security, health, etc.
Jean Pierre Díaz Paz: Electronic and Topographic Engineer, Doctor of Engineering. Professor of Signals and Systems, Digital Electronics and Control Systems. Interests in the development of technology in areas of geospatial and temporal information.