Preliminary Program
| Organized by: | Research line in Automation and Robotic Control Systems Departamento de Ingeniería de Sistemas y Computación Universidad Católica del Norte | |
| Chair: | Álvaro Javier Prado Romo (alvaro.prado@ucn.cl) | Departamento de Ingeniería de Sistemas y Computación, Universidad Católica del Norte. |
| Co-chair: | Rafael Ángel Orellana Prato (rafael.orellana@ucn.cl) | |
| Date and Time: | Friday, September 30, 2022. 09 - 13 hrs. [Chile Continental Time. GMT -04.00] | |
Short 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. | |
| Invited speakers: |
Ph.D., D.Sc (Habilitation) in Automatic Control and Robotics of the Poznan University of Technology (PUT), Poland
Dr., in Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile. Active member of the Lincoln center of Agri-food Technology (LIAT) and the Lincoln Center of Autonomous Systems (LCAS)
PhD., Engineering Science (Process Control), University of South Florida (USF). Tampa USA Senior Lecturer in Computer Science in the Department of Computer Science at City, University of London
Dr., in Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile. Postdoctoral scholar at the University of California Davis
PhD., in Electrical and Electronic Engineering between the University of Nottingham, United Kingdom and the University of Chile, Chile. Lecturer at the Department of Engineering Sciences at Universidad Andrés Bello, Chile
Dr., en Ingeniería Electrónica de la Universidad Técnica Federico Santa María, Valparaíso, Chile. Académico Asociado de la Universidad Andrés Bello | |
Preliminary Program:
| 09.00-10.00 hrs. Invited Talk #1 Kinematic Modeling and Control Design for Automated Articulated Vehicles Speaker: PhD. Maciej Marcin Michalek 10.00-11.00 hrs. Invited Talk #2 Desafíos actuales en la robótica aplicada al tratamiento, cosecha y transporte de frutos Speaker: Dr. César Leonardo Guevara Gordillo
11.00-12.00 hrs. Invited Talk #3 Slding Mode Control: A perspective from empirical models for industrial applications Speaker: PhD. Oscar Eduardo Camacho Quintero
12.00-13.00 hrs. Section of Short Presentations A simulation toolbox for images and point cloud annotations on agricultural scenarios 12.00 hrs: [1] Speaker: Dr. Darío Javier Guevara Proaño
Distributed predictive secondary control for economic dispatch in hybrid AC/DC microgrids 12.20 hrs: [2] Speaker: Speaker: Ph.D., Alex Dario Navas Fonseca
Análisis de las capacidades de recolección de energía de campo eléctrico usando hojas naturales 12.40 hrs: [3] Dr. Oswaldo Aníbal Menéndez Granizo | |
Invited Talk #1
Friday 30/09/2022 9.00-10.00 am (Chile Continental Time, GMT-4).
Speech Title: Kinematic Modeling and Control Design for Automated Articulated Vehicles
Speaker: Maciej Marcin Michalek Ph.D., D.Sc (Habilitation) in Automatic Control and Robotics of the Poznan University of Technology (PUT), Poland
Short Abstract. 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 nature of articulated vehicles, the actual origins of this nature is not so clear for many. During the lecture we will address this problem by explaining and discussing numerous interesting kinematic properties of articulated mobile structures, which all can reveal together in a single vehicle making it difficult to control. On the other hand, such a big control difficulty observed in so practical problem may be very inspiring and fascinating for control researchers looking for an efficient feedback control system which could help the drivers execute agile maneuvers with long articulated vehicles. We will address the control design problem by introducing a cascade-like modular feedback control system, which enables agile automated maneuvering with vehicles comprising an arbitrarily number of segments. It will be shown how the cascade-like control system can be modified and applied as a supporting tool for the drivers of electric buses as a part of the advanced driver assistance system (ADAS) to help executing precise maneuvering in the public transportation tasks. The lecture will be illustrated by selected simulation and experimental results obtained in a laboratory scale and in-field conditions.
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Email: maciej.michalek@put.poznan.pl
| Short Bio.
PhD., Maciej Marcin Michalek received the Ph.D. and D.Sc. (Habilitation) degrees in the field of automatic control and robotics from the Poznan University of Technology (PUT), Poland, in years 2006 and 2015, respectively. He is currently an Academic Professor of PUT in the Institute of Automatic Control and Robotics, where he serves as a deputy director for scientific affairs. His current research interests concern modeling, control design, and control applications in the area of dynamical systems, nonholonomic systems, mobile robots, articulated vehicles, N-trailer structures, and intelligent/automated vehicles. He is a Senior Member of IEEE and the Chair of the Polish Chapter of IEEE Robotics & Automation Society (in cadence 2022-2023). Currently he is a member of the Conference Editorial Board for IEEE Control Systems Society, an Editorial Board Member of the Journal of Intelligent & Robotic Systems, and an Associate Editor for the Journal of the Franklin Institute. |
Invited Talk #2
Friday 30/09/2022 10.00-11.00 am (Chilean Time, GMT-4).
Speech Title: Desafíos actuales en la robótica aplicada al tratamiento, cosecha y transporte de frutos
Speaker: Dr. César Leonardo Guevara Gordillo Dr., en Ingeniería Electrónica de la Universidad Técnica Federico Santa María, Valparaíso, Chile. Miembro active de Lincoln center of Agri-food Technology (LIAT) y del Lincoln Center of Autonomous Systems (LCAS)
Short Abstract. 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 conocidos como drones. Sin embargo, los drones no son idóneos en el caso de la horticultura o en tareas relacionadas a la recolección y transporte de frutos. En estos casos, plataformas robóticas móviles se han vuelto populares dentro de empresas de innovación enfocadas en el desarrollo de robots agrícolas. Aun así, existen varias desafíos tecnológicos y sociales que deben ser resueltos para que la industria robótica agrícola pueda desarrollarse por completo y pueda ser aceptada como una solución rentable. Esta charla se enfocará en las soluciones robóticas que actualmente se están probando tanto en entornos agrícolas experimentales, así como varias soluciones que se están implementado de manera comercial. Nos centraremos en los avances y desafíos actuales en el uso robots móviles para el tratamiento, cosecha y transporte de frutos, así como los factores clave que definirán el futuro de la agricultura. | |
Email: LGuevara@lincoln.ac.uk
| Short Bio.
Dr. Leonardo Guevara realizó sus estudios de pregrado en la Escuela Politécnica Nacional (Ecuador), obteniendo el título de ingeniero en electrónica y control en el año 2016. Continuó con sus estudios de postgrado en la Universidad Técnica Federico Santa María (Chile), obteniendo el título de doctor en ingeniería electrónica en el año 2021. Durante su doctorado realizó estancias de investigación en la Universidad de Coimbra (Portugal) y la Universidad Técnica de Poznan (Polonia) donde trabajó en temas relacionados con el control y navegación autónoma de vehículos articulados usados para transportar fruta en labores de cosecha agrícola. Manteniendo esta línea de investigación, se unió a la Universidad de Lincoln (Inglaterra) a inicios del año 2021 donde actualmente trabaja como profesor asistente y es miembro activo del Lincoln center of agri food technology (LIAT) y del Lincoln center of autonomous system (LCAS). Su interés de investigación actual se centra en la robótica aplicada a la agricultura y la interacción humano-robot en tratamiento, cosecha y transporte de frutos. |
Invited Talk #3
Friday 30/09/2022 11.00-12.00 am (Chile Continental Time, GMT-4).
Speech Title: SLIDING MODE CONTROL: A Perspective from Empirical Models for Industrial Applications
Speaker: Oscar Eduardo Camacho Quintero PhD., Engineering Science (Process Control), University of South Florida (USF). Tampa USA Senior Lecturer in Computer Science in the Department of Computer Science at City, University of London
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Email: ocamacho@usfq.edu.ec
| Short Bio. PhD. Oscar Camacho received his title in Engineering Sciences (Process Control), University of South Florida (USF). Tampa. USA. He received his ME in Chemical Engineering (Process Control), University of South Florida (USF), Tampa, USA. MSc. Control Engineering from Universidad de Los Andes (ULA), Mérida, Venezuela. B.Eng. Electronics, Universidad de Los Andes (ULA), Merida, Venezuela. Visiting Research Scholar with Escuela Politécnica Nacional (EPN) under the Prometeo Program of SENESCYT (2014-2017). Postdoctoral development activities at USF in (2000-2001). Teaching and researching activities at ULA and PDVSA (Venezuela), USF (USA), Escuela Politécnica Nacional and Universidad San Francisco de Quito (Ecuador). Head of the School of Electrical Engineering, Coordinator of the Master Program in Automation and Instrumentation, Dean of the Engineering Faculty at ULA, from 2005 until 2014. Senior member IEEE. Research interests include sliding mode control, process control systems with long delay, chemical process control. He has +200 referred journal and conference papers on topics related to his research. He is Associated Editor of the Journal ISA Transactions Q1 (USA). |
Short Presentation #1
Friday 30/09/2022 12.00-12.20 pm (Chile Continental Time, GMT-4).
Speech Title: A simulation toolbox for images and point cloud annotations on agricultural scenarios
Speaker: Dr. Darío Javier Guevara Proaño Dr., in Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile. Postdoctoral scholar at the University of California Davis.
Short Abstract. 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. In addition, the data-labelling process can always be labor and cost intensive, especially with LiDAR data due to the variability of the crops and the sparse nature of the point cloud information. This study presents an open-source simulation toolbox that allow an easy generation of synthetic labelled data for RGB and point cloud information for different type of cultivars, and how to use that data for enabling a more efficient training in ML applications. | |
Email: dguevara@ucdavis.edu | Short Bio.
Dr. Dario Guevara received his BS degree in electronics and control engineering from Escuela Politécnica Nacional, Quito, Ecuador, in 2016. From 2017 to 2021. He pursued his PhD from the Department of Electronic Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile. Since June 2021, he is working as a Postdoctoral scholar at the University of California Davis. He is currently working on the development of Artificial Intelligence low-cost sensors that can be used for determining the stress in specialty crops. |
Short Presentation #2
Friday 30/09/2022 12.20-12.40 am (Chile Continental Time, GMT-4).
Speech Title: Distributed predictive secondary control for economic dispatch in hybrid AC/DC microgrids
Speaker: Ph.D., Alex Dario Navas Fonseca PhD., in Electrical and Electronic Engineering between the University of Nottingham, United Kingdom and the University of Chile, Chile. Lecturer at the Department of Engineering Sciences at Universidad Andrés Bello, Chile.
Short Abstract 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 distributed model predictive control schemes for the secondary control level to control both variables to specific values and within secure bands into H-MGs. Specifically, optimal dispatch of active and reactive power is achieved while frequency and voltages are regulated within secure bands in H-MGs. Dynamic models of AC generators, DC generators and interlinking converters along with their novel multi-objective cost functions are developed in constrained distributed predictive optimisation problems to simultaneously achieve the aforementioned objectives via information sharing. To the best of the authors’ knowledge, this is the first work presenting a distributed predictive scheme at the secondary control level to address these objectives considering soft constraints in H-MGs. Extensive simulation work validates the performance of this proposal. | |
Email: alex.navas@ug.uchile.cl | Short Bio.
PhD., Alex Navas Fonseca received the B.Sc. degree in electrical engineering from (Hons.) from the Universidad de las Fuerzas Armadas-ESPE, Ecuador in 2015, and the dual PhD degree in Electrical and Electronic Engineering between the University of Nottingham, U.K., and the University of Chile in 2022. Currently, he is a lecturer at the Department of Engineering Sciences at Universidad Andrés Bello, Chile and a researcher at the Energy Transformation Center at the same university. In addition, he has served as a Reviewer in journals, such as the IEEE Transactions on Smart Grid and IEEE Transactions on Circuits and Systems I. His research interests include control and management of microgrids, distributed model predictive control applied to microgrids and renewable energies, and demand side management techniques. |
Short Presentation #3
Friday 30/09/2022 12.40-13.00 pm (Chile Continental Time, GMT-4).
Speech Title: Análisis de las capacidades de recolección de energía de campo eléctrico usando hojas naturales
Speaker: Dr. Oswaldo Aníbal Menéndez Granizo Dr., en Ingeniería Electrónica de la Universidad Técnica Federico Santa María, Valparaíso, Chile. Investigador y docente de la Universidad Andrés Bello.
Short Abstract. 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 escala relacionadas con el paradigma IoT plantean graves preocupaciones ambientales sobre la degradación y el reciclaje del material de fabricación. En este contexto, este trabajo analiza el desempeño de las hojas naturales como reemplazo de a los electrodos metálicos tradicionales usados en desarrollos de EFEHs. Con este objetivo, se ensamblaron diferentes EFEHs de un tamaño de 10×3 cm 2 con hojas naturales de las siguientes especies Magnolia Obovata, Ravenala Madagascariensis, Acanthus Mollis y Agapanthus Africanus. Finalmente, el desempeño de cada recolector fue probado en función de sus características morfológicas para diferentes etapas de secado. Como conclusiones se han obtenido que las hojas naturales pueden acumular cargas electrostáticas de manera similar a electrodos metálicos estándares y que los EFEHs ensamblados con hojas (siglas en inglés, Leaf-EFEHs) recolectar suficiente energía para manejar dispositivos de ultra-baja potencia. | |
Email: oswaldo.menendez@unab.cl | Short Bio.
Dr. Oswaldo Menendez nació en Quito, Ecuador. Recibió el título de Ingeniero en Electrónica y Control de la Escuela Politécnica Nacional, Ecuador, en 2013, y el grado de Doctor en Ingeniería Electrónica de la Universidad Técnica Federico Santa María, Chile, en 2019. Actualmente es investigador y docente de la Universidad Andrés Bello, Santiago, Chile. Sus principales áreas de investigación se centran en tecnologías de recolección de energía, robótica en sistemas eléctricos y sistemas de inspección automatizados para líneas de transmisión. |
