Dex-Net in 60 Seconds: A Classic Look at Robotic Grasping Uncertainty
berkeley_ai · x · 2026-07-28
A Berkeley AI researcher shared a quick overview of the classic robot grasping project, Dex-Net. The project focuses on improving robotic arm grasping success rates in environments with inherent uncertainty, presented here via a 60-second technical explainer video.
Related event: A 60-Second Look at Robotic Grasping Project Dex-Net(2 posts)→
More from Embodied
- Being-H0.8 adds tactile prediction to robot world models with 500,000 hours of video — 量子位 · 2026-07-28
- Webots, an open-source robot simulator for vehicles and mechanical systems — tom_doerr · 2026-07-28
- Tesla's New Feature: Headlights Project Navigation Path Directly onto the Road — sven_ai · 2026-07-28
- Robots Don't Need to Beat Humans, Just Fill the Empty Shift — VraserX · 2026-07-28
- Zhigu Tianchu raises nearly RMB 100 million as commercial cooking robots enter the monetization phase — 创业邦 · 2026-07-28
- Real-Time Speech-to-Action Mapping Processed Entirely On-Robot — tctjr · 2026-07-28