Robohub.org
ep.

008

podcast
 

An uncertain revolution with Claudio Mattiussi


by
12 September 2008



share this:

In this episode we dive into the revolution brought on by the field of probabilistic robotics with Claudio Mattiussi who is Senior Researcher at the Laboratory of Intelligent Systems in Lausanne, Switzerland. We then launch a most “uncertain” competition to see how our listeners are able to cope with uncertainty in estimating the cleaning capabilities of our Roomba robot.

Claudio Mattiussi

As a Senior Researcher at the Laboratory of Intelligent Systems at the EPFL in Lausanne Switzerland, Claudio Mattiussi has been looking into the world of evolutionary computation, neural networks and machine learning applied to tasks such as reverse engineering gene regulatory networks, synthesizing neural networks, and designing electronic circuits. Thanks to his experience with real-world applications and years in industry, Mattiussi has become aware of the need to deal with uncertainty, which is present in most environments and living beings. As a solution, he presents the probabilistic or Bayesian approach to perceiving the world, with a touch of history, philosophy and projection. Rather than being against good old fashion artificial intelligence (GOFAI), or Brooks’ Behavior Based approach, he proposes the “uncertain” revolution using the probabilistic paradigm as being a compromise for the future.

Finally, he discusses how the probabilities can be used to make decisions on robot behavior using neural structures and evolutionary techniques.

Uncertain Contest

For a detailed view on some of the subjects presented in this show, win the new book on “Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies”
written by Dario Floreano and Claudio Mattiussi, out on the 30th of September 2008.

To make you apply your own probabilistic approaches to a concrete problem, we’ll be asking you to guess (or compute) the percentage of dirt collected by a Roomba robot in its own “uncertain” environment. We’re waiting for your vote by Wednesday, September 24th at 9AM GMT.

All the details for the competition can be found on our forum.

Links:


Latest News:

Check out the Robots Forum for pictures, links, videos and some ongoing discussion for this episode’s news, including the most recent iRobot headlines, Rod Brooks’ new Heartland Robotics as well as the gigantic robot spider roaming Liverpool.

View and post comments on this episode in the forum



tags:


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence