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[ARTICLE · art-154056] src=runtimewire.com ↗ pub= topic=robotics verified=true sentiment=· neutral

Encord pairs muscle signals with video to train robots through hand occlusion

Encord released EMG-1 on October 20th, an open dataset that pairs forearm muscle signals with first-person video and optical motion capture to train robotic AI on hand motion that cameras miss, according to a PR Newswire announcement. Encord co-founder and co-CEO Eric Landau is extending the company's data business into biological signals, alongside co-founder Ulrik Stig Hansen and a new research division. The dataset's value will depend on whether outside researchers can reproduce the gains and apply them to real deployments.

read1 min views1 publishedOct 20, 2026
Encord pairs muscle signals with video to train robots through hand occlusion
Image: Runtimewire (auto-discovered)

Co-founders Eric Landau and Ulrik Stig Hansen are adding biological data to Encord's robotics work with an open dataset and a new research division.

        By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff)
        · Published 

Primary source: [PR Newswire](https://www.prnewswire.com/news-releases/encord-releases-emg-1-the-largest-open-dataset-linking-muscle-signals-to-robotic-ai-development-302914344.html)

Why it matters #

Encord is extending its data business into signals that cameras miss, positioning the company to serve robotics teams earlier in the training-data pipeline. The dataset's value will depend on whether outside researchers can reproduce the gains and apply them to real deployments.

Encord co-founder and co-CEO Eric Landau is extending Encord's data business to a part of human movement that cameras miss: the electrical signals in the forearm that drive finger motion. On October 20th, Encord released EMG-1, an open dataset pairing those muscle signals with first-person video and optical motion capture…

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