Welcome to Episode 17 of The Robo Success Podcast, where robotics meets real-world impact.

In this episode, we explore one of the biggest remaining challenges in humanoid robotics: dexterity.

Our guest, Jay Li, CEO and Founder of Proception, shares insights into why advanced robotic hands still struggle to match human dexterity, the critical role of tactile sensing, and how better hardware and data could unlock more capable general-purpose robots.

🎙️ Guest: Jay Li, CEO & Founder of Proception

🎙️ Host: Jesica Chavez

🎙️ Co-host: Andy Diepen

🔍 What you'll hear:

• Why humanoid robots still fall short of human-level dexterity

• Why tactile sensing may be one of robotics' biggest bottlenecks

• How neural networks and data are changing the approach to robotic manipulation

• How Proception combines robotic hardware with high-quality data collection

• Why better dexterity could expand the role of robots across industries

The next generation of robots won't just need better movement. They will need to sense, adapt, and interact with the physical world with far greater precision. Dexterity may be one of the capabilities that determines how useful general-purpose robots can ultimately become.

More at: www.robo-success.com

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