Skip to content
Reading Trust in Motion: A Multimodal Perception Stack for Industrial HRC episode artwork

Aug 18, 2026 27 min

Reading Trust in Motion: A Multimodal Perception Stack for Industrial HRC

from Embodied AI 101 Hosted by Shaoqing Tan

Abstract Industry 5.0 promotes collaborative manufacturing environments where humans and robots work together, leveraging their complementary strengths to improve productivity and safety. In such settings, trust is fundamental to ensuring effective collaboration between humans and robots. This paper presents a multi-modal model for trust evaluation in industrial human-robot collaboration settings. In this episode of Embodied AI 101, we explore "Reading Trust in Motion: A Multimodal Perception Stack for Industrial HRC". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence. Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.

Episode details come from the podcast's RSS feed.

Embed this episode

Abstract Industry 5.0 promotes collaborative manufacturing environments where humans and robots work together, leveraging their complementary strengths to improve productivity and safety. In such settings, trust is fundamental to ensuring effective collaboration between humans and robots. This paper presents a multi-modal model for trust evaluation in industrial human-robot collaboration settings.

Ready to play

Reading Trust in Motion: A Multimodal Perception Stack for Industrial HRC

0:00 27:51

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Embodied AI 101?

This episode is 27 minutes long.

When was this Embodied AI 101 episode published?

This episode was published on August 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.