Skip to content
Multi-AUV Scene-Adaptive Embodied Intelligence for Multi-Target Tracking episode artwork

Jul 18, 2026 45 min

Multi-AUV Scene-Adaptive Embodied Intelligence for Multi-Target Tracking

from Embodied AI 101 Hosted by Shaoqing Tan

An embodied AI framework for multi-AUV (Autonomous Underwater Vehicle) multi-target tracking in ad-hoc underwater networks. Incorporates scene-adaptive policies for dynamic underwater environments.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Multi-AUV Scene-Adaptive Embodied Intelligence for Multi-Target Tracking

0:00 45:26

No transcript yet.

Requests help us decide what to transcribe next.

Share this episode

Similar podcasts

CISO Perspectives (public) N2K Networks This season on CISO Perspectives, host Kim Jones explores some of the challenges of leading through uncertainty. We explore the complexity of the changing nature of regulation and working with the federal government, the evolution of privacy and fraud, and how emerging technologies like AI and quantum computing are changing cyber. When you don’t know what questions to ask, you’re afraid to ask, or don’t know who to ask, CISO Perspectives provides the foundation for learning in this brave new world.

Frequently asked questions

How long is this episode of Embodied AI 101?

This episode is 45 minutes long.

When was this Embodied AI 101 episode published?

This episode was published on July 18, 2026.

Can I download this Embodied AI 101 episode?

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