#RobotLearning
Live, measured metrics for the hashtag #RobotLearning from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #robotlearning
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-02 03:18 UTC2 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-02 03:18 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-02 03:18 UTCEverything below is measured over the latest 39 public posts (spanning ~38504 hours).
Posting hours (UTC) — busiest: 00:00
Languages: English (38) · German (1)
Avg boosts / post: 0.4
Top of the latest posts
Please check out our #CoRL2022 conference program corl2022.org/program/ Fantastic speakers, tutorials and activities in #Auckland. Register and join us in December! #RobotLearning
Ronald van Loon (@Ronald_vanLoon) AI가 인간의 움직임 데이터를 활용해 휴머노이드 로봇이 테니스를 익히도록 훈련하는 사례를 소개했다. 인간 시연 기반의 로봇 행동 학습은 조작·이동·스포츠 등 물리 환경 에이전트의 데이터 효율과 일반화에 관련된 접근이다. https://x.com/Ronald_vanLoon/status/2104985384887218481 #ai #robotics #humanoidrobo
Ilir Aliu (@IlirAliu_) Dyna Robotics CEO Lindon Gao의 발언을 인용해 로보틱스에서 하드웨어 자체보다 학습 데이터·모델 역량이 핵심이라는 관점을 조명한다. DYNA-2가 대규모 데이터로 학습됐다는 맥락을 제시하며, 로봇 제품 경쟁력이 물리적 디자인보다 데이터 플라이휠과 범용 행동 모델로 이동하고 있음을 시사한다. https://x.com/IlirAliu_/status/210484412598
#robotlearning across platforms
every network with a public tag surfaceFollow #robotlearning straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/robotlearning