Kingston Kuan
Founder of Hebbian Robotics, APIs for robotics data teams to verify data quality for model training
Company
Kingston Kuan is listed as a founder of Hebbian Robotics. Hebbian Robotics builds APIs for robotics data teams to verify data quality for model training. Our customers use us to build quality control pipelines in just a few lines of code, with custom models 10x faster and 8x cheaper than general foundation models. https://hebbianrobotics.com/ https://github.com/Hebbian-Robotics/hflow
Founder traction evidence
Public posts and activity attributed directly to this founder.
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Dyna’s article on training Dyna-2 with more than 1 million hours of egocentric video is a gold mine for anyone processing multimodal robotics data at scale.
Dyna’s article on training Dyna-2 with more than 1 million hours of egocentric video is a gold mine for anyone processing multimodal robotics data at scale. We built HFlow: an open source implementation of the data infrastructure described in the article. - Airflow for
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If you work with large multimodal robotics datasets, then you need APIs to search and analyze them.
If you work with large multimodal robotics datasets, then you need APIs to search and analyze them. We are currently working with data vendors and providers to get signals and metrics on the quality of their data. Check out our launch and reach out if this resonates! @hbr_pbc
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If you had the chance to attend this, you now have an edge in starting your own robotics startup A slight edge, but it can compound, and you should start soon
If you had the chance to attend this, you now have an edge in starting your own robotics startup A slight edge, but it can compound, and you should start soon
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We used HFlow to evaluate the latest open weights VLMs for processing egocentric data.
We used HFlow to evaluate the latest open weights VLMs for processing egocentric data. This was based on @buildpbc's Egocentric-10k evaluation, which used Gemini 2.5 Flash to measure hand visibility and active manipulation. How much each model agreed with the reported results:
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This release effectively doubles the hours of open source egocentric data on @huggingface This was previously dominated by @buildpbc's Egocentric-100K, which was single monocular camera only That's 25 TB vs 53 TB (Ego-100k vs EgoSuite-100k) as a size comparison Ego-100k also
This release effectively doubles the hours of open source egocentric data on @huggingface This was previously dominated by @buildpbc's Egocentric-100K, which was single monocular camera only That's 25 TB vs 53 TB (Ego-100k vs EgoSuite-100k) as a size comparison Ego-100k also
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great way to spend a sunday most impressed by how fast and cheaply you can train a robust policy with high quality data collected this way grats @litian_liang @drjingxi and team!
great way to spend a sunday most impressed by how fast and cheaply you can train a robust policy with high quality data collected this way grats @litian_liang @drjingxi and team!
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We just launched HFlow on Product Hunt, our open source SDK for scalable multimodal data pipelines in robotics and physical AI.
We just launched HFlow on Product Hunt, our open source SDK for scalable multimodal data pipelines in robotics and physical AI. @bdono_ and I built HFlow because robotics teams are collecting more hours of video data than they can handle. Each episode can contain camera
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We are open sourcing a crate we built internally to process @LeRobotHF datasets in Rust.
We are open sourcing a crate we built internally to process @LeRobotHF datasets in Rust. Today, the LeRobot ecosystem has strong Python tooling for research, but building for production in Rust is still tough. We wanted to share this for anyone building scalable robotics data