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Clankr Media shows every component of Menlo Research's open-source Asimov humanoid

According to a post on X by @clankrmedia, the account shared a laid-out photo of every component in Asimov, the open-source humanoid robot developed by Menlo Research. The post was meant to show how many parts a humanoid takes. It also points out how much hardware goes into even an open design that anyone can study and build on. The source is a social post, and the provided text does not give a part count or other technical specifications.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-25T02:00:00+00:00 Detected 2026-10-25T05:29:21+00:00
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According to a post on X by @clankrmedia, the account shared a laid-out photo of every component in Asimov, the open-source humanoid robot developed by Menlo Research. The post was meant to show how many parts a humanoid takes. It also points out how much hardware goes into even an open design that anyone can study and build on. The source is a social post, and the provided text does not give a part count or other technical specifications.

AI-assisted summary based on the listed source.

Clankr Media posted a laid-out photo of every component in Asimov, the open-source humanoid robot developed by Menlo Research, to show just how many parts a humanoid takes. The post is a reminder of how much hardware goes into even an open design that anyone can study and build on. Original post on X

Builders and robotics researchers interested in studying or replicating an open humanoid design can see the scale of hardware involved. Businesses and investors weighing humanoid robots may take from this that component count is a major part of the build. Anyone wanting more detail should look for Menlo Research's own documentation rather than relying on this photo alone.

Signal Strength 81% Technical label WATCH Public Interest 30 Category OPEN SOURCE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 22 Curiosity Score 84 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to Robotics, connected to Scobleizer News Pulse (X).