Robohub.org
 

ShanghAI Lectures 2013, Lecture 10 – Future Trends


by
28 April 2014



share this:

This week we publish the tenth and last of the ShanghAI Lectures 2013 Edition on Robohub. We have been releasing  a new lecture from this series on Monday for several weeks and this is the last one. Please use the comments section below to send us your questions, and we will do our best to respond! You can learn more about the ShanghAI lectures here. Stay tuned for the 2014 Edition! And more later…on RoboHub!

Lecture 10: Future trends

This lecture, which I hosted at the from the University Carlos III of Madrid, Spain, recaps the whole 2013 series and looks at the future of AI, Robotics and …the Shanghai Lectures themselves :-)

“How the body shapes the way we think – principles and insights ” by Rolf Pfeifer

SummaryHTBDec2013jpg

In yet another great lecture, Rolf summarizes the main ideas and concepts we have reviewed in the Shanghai Lectures. Check here for his thought-stimulating insights:

Guest lecture: “Autonomous Service Robots that Can Ask for Help” by Manuela Veloso

VelosoPicGroup

In this guest lecture Prof. Manuela Veloso, very appropriately H. A. Simon Professor at Carnegie Mellon University, gives us a compressed survey of her research. She also shows us  how we may work around current limitations of AI and Robotics by simply letting robots ask for our help! What does she mean by this? Watch her lecture here:

Manuela Veloso is President of AAAI, past president of the RoboCup Federation, and a fellow of IEEE, AAAI and AAAS.

That’s all, folks, for 2013! Stay tuned, the best is yet to come!

About the ShanghAI Lectures

ShanghAIGlobeColor

While in the classical approach “intelligence” was essentially viewed as information processing taking place in the brain, the more recent insight that interaction with the environment is of central importance is gaining acceptance. This has led to the metaphor of embodiment, i.e., that intelligence is always a property of an entire organism — an idea that has far-reaching implications and often leads to surprising insights, but which has not so far been widely exploited in industry practice.

The ShanghAI Lectures project aims to:

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

These lectures about Natural and Artificial Intelligence have been held via videoconference at the University Carlos III of Madrid in Spain, the University of Zurich in Switzerland, Scuola Superiore Sant’Anna of Pisa, Italy, Humboldt University Berlin in Germany, University of Plymouth and University of Salford in the UK, and 10 other universities around the globe. Students from the participating universities are still working together on the exercises, using Webots by Cyberbotics, and Ludobots by the University of Vermont.

The lectures have also been streamed to allow remote participation to anybody.

The ShanghAI Lectures differ from ‘conventional’ MOOCs as they exploit telecommunication technology to build a global, distributed lecture hall that allows rich interaction rather than simply implementing the good old fashioned TV broadcasting model on a different medium. They also differ from other AI courses as they propose a new paradigm approach to embodied cognition (a.k.a. AI and Robotics). It is a kind of Copernican revolution with respect to GOFAI and its robotics application — and thus a research program for the coming decades.

This year I coordinated the lectures, with help from Prof. Rolf Pfeifer and Dr. Nathan Labhart at the University of Zurich . Rolf Pfeifer and I provided the context (introduction, moderation, and conclusion). As always, there were 2-3  invited guest lectures each week.



tags: , , , ,


Fabio Bonsignorio is a professor in the BioRobotics Institute at the Scuola Superiore Sant'Anna (Pisa, Italy).
Fabio Bonsignorio is a professor in the BioRobotics Institute at the Scuola Superiore Sant'Anna (Pisa, Italy).





Related posts :



Robots to navigate hiking trails

  12 Jan 2026
Find out more about work presented at IROS 2025 on autonomous hiking trail navigation via semantic segmentation and geometric analysis.

Robot Talk Episode 139 – Advanced robot hearing, with Christine Evers

  09 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound.

Meet the AI-powered robotic dog ready to help with emergency response

  07 Jan 2026
Built by Texas A&M engineering students, this four-legged robot could be a powerful ally in search-and-rescue missions.

MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

  31 Dec 2025
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.

Robohub highlights 2025

  29 Dec 2025
We take a look back at some of the interesting blog posts, interviews and podcasts that we've published over the course of the year.

The science of human touch – and why it’s so hard to replicate in robots

  24 Dec 2025
Trying to give robots a sense of touch forces us to confront just how astonishingly sophisticated human touch really is.

Bio-hybrid robots turn food waste into functional machines

  22 Dec 2025
EPFL scientists have integrated discarded crustacean shells into robotic devices, leveraging the strength and flexibility of natural materials for robotic applications.

Robot Talk Episode 138 – Robots in the environment, with Stefano Mintchev

  19 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Stefano Mintchev from ETH Zürich about robots to explore and monitor the natural environment.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence