Robohub.org
 

ShanghAI Lectures 2012: Lecture 6 “Evolution: Cognition from scratch”


by
30 March 2013



share this:
ShanghAIGlobeColorSmall

In this sixth part of the ShanghAI Lecture series, Rolf Pfeifer introduces the topic “Artificial Evolution” and gives examples of evolutionary processes in artificial intelligence. The first guest lecture, by Francesco Mondada (EPFL) is about the use of robots in daily life; in the second guest lecture, Robert Riener (ETH Zürich) talks about rehabilitation robots.

The ShanghAI Lectures are a videoconference-based lecture series on Embodied Intelligence run by Rolf Pfeifer and organized by me and partners around the world.

 

Francesco Mondada: Toward Robots For Daily Life

In a recent survey from the European Commission, 60% of the participants said that robots should be banned from the application area “care of children, elderly, and the disabled”, 34% would like to ban robots from “education”. Within this framework, what is the future of robotics in daily life services? Two research projects answering this question are presented in this talk: education using specific robotics tools and a new form of embodiment for service robotics. Some preliminary results are illustrated, showing a very interesting potential demonstrated by a high acceptance of the proposed approaches.

 

Robert Riener: Design Principles for Intelligent Rehabilitation Robots

Integrating the human into a robotic rehabilitation system can be challenging not only from a biomechanical view but also with regard to psycho-physiological aspects. Biomechanical integration involves ensuring that the system to be used is ergonomically acceptable and “user-cooperative”. Psycho-physiological integration involves recording and controlling the patient’s physiological reactions so that the patient receives appropriate stimuli and is challenged in a moderate but engaging way. In this talk basic design criteria are presented that should be taken into account, when developing and applying an intelligent robotic system that is in close interaction with the human subject. One must carefully take into account the constraints given by human biomechanical, physiological and psychological functions in order to optimize device function without causing undue stress or harm to the human user.

References:

Related links:



tags: , , , , , , , , , , , , , ,


Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.
Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 167 – Automating construction, with Jan Petrš

  23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.

Humanoid robots can sprint and box – but the real test is doing the laundry

  12 Oct 2026
No robot system can yet reliably handle the whole laundry process. Even folding remains a challenge.

Robot Talk Episode 165 – Robots behind the research, with Kushant Patel

  09 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Kushant Patel from Brookhaven National Laboratory about robots that work in scientific facilities, such as particle accelerators.

What three days building a robot taught me

and   07 Oct 2026
The brief sounded simple: build a small autonomous robot, then make it survive increasingly difficult mazes. Simple... right? Until you actually have to build one.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence