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Cabecera de página Seminarios Master robotica y automatizacion
  • Curso 2023/24

    Diseño e Implementación de una Red de Sensores Inalámbricos en el Contexto del Internet de las Cosas

    ECTS3 credits

    Dates: Thursday, April 18 and 25, and Friday, April 19 and 26, 2024

    Schedule10:00-14:00 h

    Classroom: To be determined

    Professor: Martínez Rodrigo, Arturo – Universidad de Castilla-La Mancha

    Description:

    In this practical seminar, the conceptualization and deployment of a wireless sensor network in the context of the Internet of Things (IoT) will be carried out, as well as the programming of the broker and storage of the information in temporary databases (DB) Influx type, for further processing and analysis.

    Students will program the communication nodes with the Micropython language, and different environmental sensors will be integrated.  Then, native IoT communication protocols such as MQTT or CoAP will be used to exchange messages between the different nodes and with the server. Finally, access to the data stored in the DB will be configured through an open web app such as Grafana.

    Requirements:

    It is necessary to bring your laptop to class with Python 3.8 or higher installed. The practical work done will be assessed and a short test will be given to check the degree of knowledge of the concepts acquired. In addition, the following requirements are desirable, but not indispensable:

    • To know the communication protocols that govern the Internet.
    • Know how to program in object-oriented languages (OOP).
    • Knowledge of serial communications protocols for device interconnection (UART, I2C, SPI, etc.).
    • Knowledge of Unix systems
  • Course 2021/22

    Innovation and Entrepreneurship in Robotics

    Credits: 3 ETCS
     

    Speaker:

    Francisco Cuéllar Córdova, Profesor Titular de la Pontificia Universidad Católica del Perú (PUCP); CEO 4HELIX LABS; Director Maestría en Ingeniería de Control y Automatización; Coordinador Grupo de Innovación Tecnológica (GIT - PUCP).
     

    Overall objectives:​

    The principal objective is for the students to strengthen capacities in the fields of entrepreneurship and innovation. The specific objectives are:

    • Increase the knowledge of students and faculty of UC3M in aspects of entrepreneurship and innovation.
    • Prepare proposals to obtain funding in entrepreneurship and innovation, with emphasis on robotics.

    Dates: May 9 to 13, 2022
     

    Schedule: from 10:30 am to 1:30 pm
     

    Classroom: 2.0.C05
     

    Language: Spanish
     

    Topics:

    • Monday 9: Ecosistema de Innovación (3 hours)
    • Tuesday 10: Deep Tech Startups (3 hours)
    • Wednesday 11: Diseño de la Propuesta de Valor (3 hours)
    • Thursday 12: Lienzo del Modelo de Negocios (3 hours)
    • Friday 13: Financiamiento para Startups (3 hours)

    The ShanghAI Lectures

    ECTS: 3 credits

    Dates: October 28, 2021 to December 16, 2021. 8 sessions

    Schedule: Thursday, from 9:00 a.m. to 11:00 a.m.

    Classrooms:

    • 28/10/2021 │ Classroom 3.S1.08
    • 04/11/2021 │ Classroom 3.S1.08
    • 11/11/2021 │ Classroom 3.S1.08
    • 18/11/2021 │ Classroom 3.S1.08
    • 25/11/2021 │ Main Halls (Auditorium)
    • 2/12/2021 │ Classroom 3.S1.08
    • 09/12/2021 │ Classroom 3.S1.08
    • 16/12/2021 │ Classroom 3.S1.08

    Workload: 6 hours of seminars. An estimated workload of 60 hours is foreseen for the students.

    Web: The ShanghAI Lectures

    Summary​:

    While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of two hours, focuses on the concepts of 'Embodied/Enactive Intelligence' in natural and artificial systems and the 'New Robotics' made possible by pursuing this knowledge. Other topics that can be touched include Machine Learning, Deep Learning, or Internet of Things, among others. Each session will consist on one lecture plus one guest lecture from leading researchers.

    The ShanghAI Lectures 2021 will take place from October 28th to December 16th, 2021. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    The ShanghAI Lectures project aims at:

    • Building a sustainable community of students and researchers in the area of Embodied Intelligence
    • Making education and knowledge on cutting-edge scientific topics accessible to everyone
    • Exploring novel methods of knowledge transfer
    • Overcoming the complexity of a multi-cultural and interdisciplinary learning context, bringing global teaching to a new level

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

  • Course 2020/21

    The ShanghAI Lectures 2020

    Classrooms: Online

    Schedule: Thursdays from 9:30 to 11:00 (8 Thursdays) from 22 October to 17 December 2020

    ECTS: 6 credits

    Summary:

    While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

    The ShanghAI Lectures 2020 will take place from October 22nd to December 17th, 2020. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    Underlying goals of the ShanghAI Lectures project:

    • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
    • Explore novel methods of knowledge transfer.
    • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
    • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

  • Course 2019/20

    Herramientas, metodologías y métricas para impulsar tu investigación

    Credits: 3 ETCS

    Dates and Classrooms:

    • Mondays 10,17, 24 February, 2 ,9, 16, 23 March | CLASSROOM 2.2.C.04
    • 2 April | CLASSROOM 1.1.G03

    Schedule: 2 pm to 4 pm

    Speaker: Fernando Alonso Martín - Universidad Carlos III de Madrid

    Description:
    En este seminario se pretende que el alumno aprenda cómo funciona el sistema científico, esto es, como buscar y recopilar información, estructurarla, crear nuevo valor, y transmitir el nuevo conocimiento creado. El alumno aprenderá herramientas, estrategias, métricas y metodologías que le permitirán potenciar su carrera investigadora para ser más efectiva en un entorno muy competitivo.

    Innovation and Entrepreneurship in Robotics

    Credits: 3 ETCS
     

    Dates, times and classrooms:

    • 9, 10 and 11 March 2020: 9am to 1pm | CLASSROOM: 2.0.C05
    • 12 March 2020: 9am to 12pm | CLASSROOM: 2.0.C05

    Speaker:

    Francisco Cuéllar Córdova, Profesor Titular de la Pontificia Universidad Católica del Perú (PUCP); CEO 4HELIX LABS; Director Maestría en Ingeniería de Control y Automatización; Coordinador Grupo de Innovación Tecnológica (GIT - PUCP).
     

    Overall objectives:​

    The principal objective is to promote international collaboration between UC3M and PUCP in order to strengthen capacities in the fields of entrepreneurship and innovation. The specific objectives are:

    • Increase the knowledge of students and faculty of UC3M in aspects of entrepreneurship and innovation.
    • Prepare proposals to obtain funding in entrepreneurship and innovation, with emphasis on robotics.

    The ShanghAI Lectures 2019

    Classrooms:

    • 17-10-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 31-10-2019 Aula de Grados del Padre Soler
    • 07-11-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 21-11-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 28-11-2019 Sala de videoconferencia 1.1.J12
    • 05-12-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)
    • 12-12-2019 Sala de videoconferencia 1.1.J12
    • 19-12-2019 Sala de Video 3.S.1.08 (Sótano biblioteca Rey Pastor)

    Schedule: Jueves de 9:00 a 11:00 horas (8 jueves)

    ECTS: 6 credits

    Summary:

    While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

    The ShanghAI Lectures 2019 will take place from October 17th to December 19th, 2019. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    Underlying goals of the ShanghAI Lectures project:

    • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
    • Explore novel methods of knowledge transfer.
    • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
    • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.

  • Course 2018/19

    Screw Theory for Robotics

    Aula: 1.0.B01

    Profesor: Jose Manuel PARDOS-GOTOR, PhD

    Calendario: 8-15-22 de feb y 1-8-15-22 de marzo

    Horario: De 17:00 a 19:00 horas

    ECTS: 3 créditos

    Resumen:
    Este curso ofrece una formación desde los conceptos básicos hasta simulaciones y aplicaciones de la teoría de tornillos (Screws) que es especialmente atractivo para estudiantes e investigadores en Robótica, ingeniería mecánica o matemáticas aplicadas.
    Esta teoría proporciona una representación global y geométrica de la mecánica de un manipulador que simplifica enormemente el análisis y parametrización para la robótica. La gran ventaja es que las ecuaciones de movimiento resultantes son muy fáciles de tratar, como consecuencia de que la primitiva matemática básica es la matriz exponencial. Así se pueden obtener soluciones geométricas cerradas para la cinemática inversa de robots con muchos grados de libertad, o para varios robots cooperando en tareas de manipulación, sin tener que recurrir a soluciones numéricas. En definitiva, en este seminario se adquieren la habilidades para desarrollar soluciones y aplicaciones mucho más eficientes y eficaces para la CINEMÁTICA de robots, puesto que se pueden plantear algoritmos con soluciones exactas para problemas que habitualmente se abordan con aproximaciones se optimización.

    Contenidos:

    • Introducción a la teoría de Tornillos (Screw Theory): “Twist” y Coordenadas Exponenciales (propiedades, beneficios, rotaciones y traslaciones)
    • El Producto de Exponenciales (POE – Product Of Exponentials): la representación canónica de una cinemática.
    • Solución del Problema Cinemático DIRECTO con POE: planteamiento y ejemplos de aplicación en robótica (e.g. PUMA, STANFORD, ABB IRB 120, ABB IRB 6620LX, ABB IRB 910SC, KUKA IIWA).
    • Solución del Problema Cinemático INVERSO con POE: planteamiento, problemas canónicos y ejemplos de aplicación en robótica (e.g. PUMA, STANFORD, ABB IRB 120, ABB IRB 6620LX, ABB IRB 910SC, KUKA IIWA).
    • Simulación MATLAB, SIMULINK, SIMSCAPE: ejemplos de aplicación en robótica (e.g. ABB IRB 120, ABB IRB 6620LX, ABB IRB 910SC, KUKA IIWA).
    • Cinemática Diferencial y el Jacobiano Geométrico: la descripción geométrica de las velocidades del robot.
    • GitHub repository: Toolbox ST24R, ejercicios y software.

    Se espera demostrar que la abstracción ahorra tiempo a largo plazo en las aplicaciones de robótica, a cambio de una inversión inicial de esfuerzo y paciencia en el aprendizaje de estas matemáticas, con el objetivo de proporcionar a los estudiantes nuevas herramientas para abordar sus trabajos de investigación en robótica con unos fundamentos más elegantes y potentes.

    IROS2018. International Conference on Intelligent Robots and Systems

    Créditos:
    1 ETCS

    Fechas:
    1-5 de octubre de 2018

    Horario:
    De 9:00 a 18:30 horas

    Profesora Coordinadora:
    Dolores Blanco

    ➥ www.iros2018.org

  • Course 2017/18

    Introducción a Robot Operating System (ROS) - 2º Cuatrimestre

    Créditos:
    3 ETCS

    Fechas:
    Viernes 2, 9, 16 y 23 de marzo de 2018

    Horario:
    De 17:00 a 21:00 horas

    Aula:
    Aula informática. 4.S.D01

    Ponentes:
    Alonso Martín, Fernando (TEORÍA) - Universidad Carlos III de Madrid
    Gamboa Montero, Juan José (PRÁCTICA) - Universidad Carlos III de Madrid
    Marqués Villarroya (PRÁCTICA) - Universidad Carlos III de Madrid

    Descripción:
    Se enseñarán  los conceptos conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu.

    Requisitos:
    Es necesario traer el ordenador portátil a clase con Ubuntu y ROS instalado. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos. Los siguientes enlaces ayudan a cumplir con los requisitos:

    1. 1º Instalar Ubuntu en una máquina virtual

      - Usando VMWare: [video explicativo]

      - Usando VirtualBox: [video explicativo]
       
    2. 2º Instalar ROS en Ubuntu: [video explicativo]
       
    3. 3º Primeros pasos con ROS: [video explicativo]

    Screw Theory for Robotics

    Aulas:

    • Jueves 8 de febrero de 2018 Aula 4.0.E04
    • Viernes 9 de febrero de 2018 Aula 4.0.E06
    • Jueves15 de febrero de 2018 Aula 4.0.E04
    • Jueves 22 de febrero de 2018 Aula 4.0.E04
    • Jueves 1 de marzo de 2018 Aula 4.0.E04
    • Jueves 8 de marzo de 2018 Aula 4.0.E04
    • Jueves 15 de marzo de 2018 Aula 4.0.E04
    • Jueves 22 de marzo de 2018 Aula 4.0.E04

    Horario: De 17:00 a 19:00 horas

    ECTS: 3 créditos

    Resumen:Este curso ofrece una visión general de los conceptos básicos y algunas aplicaciones de la teoría de tornillos (Screws) que será especialmente atractivo para estudiantes e investigadores en robótica y campos relacionados, ingeniería mecánica o matemáticas aplicadas.
    Esta teoría proporciona una representación global y geométrica de la mecánica de un manipulador que simplifica enormemente el análisis y parametrización para la robótica. La gran ventaja es que las ecuaciones de movimiento resultantes son muy fáciles de tratar, como consecuencia de que la primitiva matemática básica es la matriz exponencial. Así se pueden obtener soluciones geométricas cerradas para la cinemática inversa de robots con muchos grados de libertad, o para varios robots cooperando en tareas de manipulación, sin tener que recurrir a soluciones numéricas.

    Contenidos:

    • Introducción a la teoría de Tornillos (Screw Theory): “Twist” y Coordenadas Exponenciales (propiedades, beneficios, rotaciones y traslaciones).
    • El Producto de Exponenciales (POE – Product Of Exponentials): la representación canónica de una cinemática.
    • Solución del Problema Cinemático DIRECTO con POE: planteamiento y ejemplos de aplicación en robótica.
    • Solución del Problema Cinemático INVERSO con POE: planteamiento, problemas canónicos y ejemplos de aplicación en robótica.
    • SIMULACIONES (Simscape) del robot ABB IRB120: análisis de resultados y comparación de EFICACIA y EFICIENCIA frente a otros algoritmos y soluciones numéricas.

    Se espera demostrar que la abstracción ahorra tiempo a largo plazo en las aplicaciones de robótica, a cambio de una inversión inicial de esfuerzo y paciencia en el aprendizaje de estas matemáticas, con el objetivo de proporcionar a los estudiantes nuevas herramientas para abordar sus trabajos de investigación en robótica con más eficacia y eficiencia.

    Introducción a Robot Operating System (ROS)

    Créditos:
    3 ETCS

    Fechas, horarios y aulas:

    • 10 de noviembre 2017 de 11h - 15h  (Aula informática 4.S.D.03)
    • 17 de noviembre 2017 de 11h - 15h  (Aula informática 4.S.D.03)
    • 24 de noviembre 2017 de 11h - 15h  (Aula informática 4.S.D.03)
    • 01 de diciembre  2017 de 11h - 15h  (Aula informática 4.S.D.01)

    Ponentes:
    Fernando Alonso Martín (TEORÍA) (Universidad Carlos III de Madrid)
    Juan José Gamboa Montero (PRÁCTICA) (Universidad Carlos III de Madrid)
    Sara Marqués Villarroya (PRÁCTICA( (Universidad Carlos III de Madrid)

    Descripción:
    Se enseñarán los conceptos básicos de ROS: mensajes, servicios, etc. Se harán trabajos prácticos para familiarizarse con los conceptos enseñados. El objetivo es que el alumno conozca los mecanismos básicos para programar aplicaciones robóticas. Se trabajará en parejas en entorno Ubuntu.

    Requisitos:
    Es necesario traer el ordenador portátil a clase con Ubuntu y ROS instalado. Se valorará el trabajo práctico realizado y se realizará un examen final para comprobar el grado de conocimiento de los conceptos adquiridos. Los siguientes enlaces ayudan a cumplir con los requisitos:

    1º Instalar Ubuntu en una máquina virtual
    - Usando VMWare:
    https://www.dropbox.com/s/fybdng1wdto5dgy/Instalar%20Ubuntu%2014.04%20en%20VMware-.mov?dl=0

    - Usando VirtualBox:
    https://www.dropbox.com/s/wsb9vmvoeinkvt1/Instalar%20Ubuntu%2014.04%20en%20VirtualBox.mov?dl=0

    2º Instalar ROS en Ubuntu:
    https://www.dropbox.com/s/od8h91u8wv1e7po/instalando_ROS.mov?dl=0

    3º Primeros pasos con ROS:
    https://www.dropbox.com/s/4ihouro1ke45h6d/Primeros%20pasos%20con%20ROS.mov?dl=0

    The ShanghAI Lectures 2017

    Aulas:

    • 26-10-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
    • 02-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
    • 09-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
    • 16-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
    • 23-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
    • 30-11-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)
    • 07-12-2017 Videoconferencia
    • 14-12-2017 Sala de video 3.1.S08 (Sótano biblioteca Rey Pastor)

    Horario: Jueves de 9:30 a 11:00 horas (8 jueves)

    ECTS: 6 créditos

    Resumen:While in the classical approach “intelligence” was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining increasing acceptance. This has led to the metaphor of embodiment, i.e. that intelligence is always a property of an entire organism. This idea has far reaching implications and often leads to surprising insights. The implications of an embodied view on intelligence are not only of a scientific nature but lead to a completely different way of how we view ourselves and the world around us. Examples and illustrations will be taken from humans, animals, and engineering (robotics in particular) and are intended to demonstrate that things can always be seen differently from what we would normally expect.

    Using the method of “understanding by building”, the lectures provide a set of design principles that on the one hand enable a better understanding of biological systems, and on the other provide heuristics for how to design artificial ones, in particular robots.

    The argument is based largely on the notions of time scales, complex dynamical systems, self-organization, and emergence. The theoretical ideas will be illustrated with many examples and case studies from academia and the private sector, and there will be hands-on exercises with computer simulations and real robots (depending on the respective university's participation mode).

    This lecture series, consisting of 8 videoconference sessions of one hour and a half (including a short break), provides a systematic introduction to the concept of embodiment (“Embodied Intelligence”). Each lecture will include one or two guest talks from global level researcher at the edge of research in Robotics/AI and Cognitive Sciences.

    The ShanghAI Lectures 2017 will take place from October 26th to December 14th, 2017. These lectures about Natural and Artificial Intelligence will be held at the University Carlos III of Madrid, University of Zurich, Switzerland, the Scuola Superiore S'Anna, Pisa, Italy and the Humboldt University of Berlin, Germany, and broadcast via videoconference to Shanghai Jiao Tong University in China, Osaka University in Japan, and a number of universities across the planet. The lectures are complemented by teamwork exercises; teams consist of three to five students from different universities.

    Underlying goals of the ShanghAI Lectures project:

    • Make education and knowledge on cutting-edge scientific topics accessible to everyone.
    • Explore novel methods of knowledge transfer.
    • Build a sustainable community of students and researchers in the area of Embodied Intelligence.
    • Overcome the complexity of a multi-cultural and interdisciplinary learning context bring global teaching to a new level.

    We believe that global teaching can be a fantastic tool to create an intercultural discourse to bring people from different backgrounds together, who would not otherwise share common activities. To be informed of the latest development, subscribe to the shanghai-update mailing list and follow us on Twitter.