Question 1

How often is the Robgence blog updated?

Accepted Answer

We publish new research breakdowns, dataset deep-dives, and engineering notes roughly twice a month. Major releases — new datasets, teleoperation tooling, or imitation-learning papers — are paired with a launch post, while shorter commentary lands in between as the team learns something worth sharing.

Question 2

Who writes the articles on this blog?

Accepted Answer

Posts are written by the Robgence engineering and research team: the same people collecting the egocentric video, building the teleoperation rigs, and training the policies that end up in production. Every byline links to the author's archive so you can follow their work specifically.

Question 3

Can I contribute a guest post or pitch a topic?

Accepted Answer

We accept outside contributions when they fit the blog's scope: original research on physical AI, egocentric data, teleoperation, imitation learning, or sensor fusion. Send a one-paragraph pitch and a short bio to the address on the Contact page — we reply within two weeks. We do not run sponsored posts.

Question 4

Where can I get the datasets referenced in the articles?

Accepted Answer

Datasets we publish ourselves (like Rebocam and related egocentric corpora) are linked from the relevant post and listed on the Data page. When we reference third-party datasets, we link straight to the original release — we never host copies of someone else's work.

Question 5

Is the content aimed at researchers or at developers?

Accepted Answer

Both, deliberately. Each post states the intended audience up front: a tag of "Research" means it assumes familiarity with the relevant literature, while "Engineering" posts are written for practitioners integrating the techniques into a robotics stack. The taxonomy on the archive pages lets you filter by either lens.

Question 6

How do I get notified when a new post is published?

Accepted Answer

The blog is a static archive — there is no email signup form on the page itself. New posts surface in the Research index on the home site, on the Robgence LinkedIn and X feeds, and in the GitHub repositories that the post references. Following any of those is the fastest way to stay current.

Question 7

Can I cite or republish Robgence blog content?

Accepted Answer

You may quote and link to articles freely, including in academic work, with attribution to the author and a link back to the original post. Republishing a full article — on another site, in a printed collection, or in a commercial training corpus — requires written permission. Reach out via the Contact page.

Blog

Engineering Autonomous Systems: How Human-Guided Robotics Training Powers Physical AI Data Pipelines

Sourcing Expert Human Labels for Physical AI: The Ultimate Guide to Operator-in-the-Loop Imitation Learning

Force-Aware Imitation Learning and Egocentric Video: Redefining Next-Gen Physical AI World Models

Scaling Physical AI: Multi-Modal Sensor Fusion As The Definitive Alternative To Synthetic Data

How to Scale Robot Teleoperation Data Collection for Physical AI?

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