Shenzhen Foundry improves jaw-opening detection in UMI gripp
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. Shenzhen Foundry — X: We put an RGB camera on a handheld UMI gripper and recorded a normal pick-and-place. After fixing the mount and improving marker detection, we got usable jaw-opening numbers on 98.7% of the frames in a 30-second clip (was ~95.3% before). Camera position relative to a table marker was available on ~84.8%. Not perfect, but good enough to actually look at what the hand was doing instead of just watching the video. 🧵1/6. We put an RGB camera on a handheld UMI gripper and recorded a normal pick-and-place. After fixing the mount and improving marker detection, we got usable jaw-opening numbers on 98.7% of the frames in a 30-second clip (wa…
Generated from attributed reports · Updated 44 minutes ago
Event evidence and corrections
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Report timeline
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- Shenzhen Foundry — XWe put an RGB camera on a handheld UMI gripper and recorded a normal pick-and-place. After fixing the mount and improving marker detection, we got usable jaw-opening numbers on 98.7% of the frames in a 30-second clip (was ~95.3% before). Camera position relative to a table marker was available on ~84.8%. Not perfect, but good enough to actually look at what the hand was doing instead of just watching the video. 🧵1/6
We put an RGB camera on a handheld UMI gripper and recorded a normal pick-and-place. After fixing the mount and improving marker detection, we got usable jaw-opening numbers on 98.7% of the frames in a 30-second clip (was ~95.3% before). Camera position relative to a table marker was available on ~84.8%. Not perfect, but good enough to actually look at what the hand was doing instead of just watching the video. 🧵1/6
Event coverage history
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