Embodied Cognition, Dynamical Systems & Attractor Networks in Care Robotics - Yulia Sandamirskaya episode artwork

EPISODE · May 19, 2025 · 36 MIN

Embodied Cognition, Dynamical Systems & Attractor Networks in Care Robotics - Yulia Sandamirskaya

from Podcasts 4 Brainport, featured by Radio 4 Brainport, 747AM and DAB+ · host Podcasts 4 Brainport

In this episode of Deep Dives with Iman, host Iman Mossavat speaks with Prof. Yulia Sandamirskaya, head of the Center for Cognitive Computing in Life Sciences at ZHAW, Switzerland. Her research centers on developing neuromorphic embodied AI for robotic applications, particularly in elderly care and healthcare. She emphasizes the need for perception and efficiency in robots that interact with humans, describing how her work uses dynamical systems and attractor networks inspired by biological processes to meet these demands. The discussion also explores how her models provide alternative, data-efficient approaches to building more robust AI systems.#embodied_cognition, #AI, #cognitive_computing, #care_robotics, #dynamical_systems, #neural_fieldsRadio4Brainport.org DAB+, 747 AM in Eindhoven, NL

Episode metadata supplied by the publisher feed · Published May 19, 2025

Embed this episode

Ready to play

Embodied Cognition, Dynamical Systems & Attractor Networks in Care Robotics - Yulia Sandamirskaya

0:00 36:55

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Podcasts 4 Brainport, featured by Radio 4 Brainport, 747AM and DAB+?

This episode is 36 minutes long.

When was this Podcasts 4 Brainport, featured by Radio 4 Brainport, 747AM and DAB+ episode published?

This episode was published on May 19, 2025.

Can I download this Podcasts 4 Brainport, featured by Radio 4 Brainport, 747AM and DAB+ episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!