Robohub.org
ep.

054

podcast
 

Modeling biology with Barbara Webb and Steffen Wischmann


by
18 June 2010



share this:

In today’s episode we speak about modeling biology using robots and how lessons learned through this process can feedback into robotics. Our first guest, Barbara Webb, is a world renowned expert in the field with several seminal papers on the subject such as “Using robots to understand animal behavior.” This interview follows up on her previous interview with Talking Robots. Our second guest, Steffen Wischmann, from the EPFL and University of Lausanne gives us his in-depth overview of the cross-fertilization between biology and robotics and tells us about his interest in artificial evolution.

Barbara Webb

Barbara Webb is director of the Insect Robotics Group at the Institute of Perception, Action and Behaviour at the University of Edinburgh.

Her group researches and models the sensorimotor capabilities of insects ranging from simple reflexive behaviours such as the phonotaxis of crickets, to more complex capabilities such as multimodal integration, navigation and learning.

While her group carries out behavioural experiments on insects, they principally work on computational models of the underlying neural mechanisms, which are often embedded on robot hardware. We’ll be talking to her about insect inspired robotics as a control system design approach.

Steffen Wischmann

Steffen Wischmann is a Postdoctoral researcher based at the Laboratory of Intelligent Systems at the EPFL and at the Department of Ecology and Evolution at the University of Lausanne. His current research investigates the evolution and the neural mechanisms of cooperation and communication in biological systems using robotic models. After years of reading about the close interaction between robotics and biology, he gives us his opinion on when robotic models are interesting for biology, to what depth the models should replicate biology and the use of artificial evolution.

Links:


Latest News:
For more information and a video on the Ballbot as well as this year’s robot novelties at the Automatica trade fair, visit the Robots 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 :

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