#sim2real

Live, measured metrics for the hashtag #sim2real from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0
Avg reactions / post
Mastodon · last 11

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:52 UTC
1
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 04:52 UTC
#real2sim2real
0 uses · 0 accounts / 7d
#real2sim
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:52 UTC

Everything below is measured over the latest 11 public posts (spanning ~32394 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (10) · Spanish (1)

Avg boosts / post: 0.2

Top of the latest posts

  • Ilir Aliu (@IlirAliu_) Amazon FAR·UC Berkeley·Stanford·CMU 연구진이 실제 로봇 데이터 없이 학습한 에이전트를 실제 환경으로 전이하는 연구를 공개했다. iPhone으로 실내를 스캔해 3D Gaussian Splatting 장면을 재구성하고, 해당 환경에서 걷기·상자 집기·다단계 지시 수행을 학습시킨 뒤 현실 세계에서 동작시켰다. 로봇 학습의 실데이터 수집 비용을 줄일 수 있는 sim

    ainews@[email protected]♥ 0↻ 02026-07-21 15:54 UTCView post →

  • Flexion (@FlexionAI) 로봇 RL 정책은 전통적으로 sim-to-real 격차를 줄이기 위해 텍스처가 없는 합성 환경과 depth 이미지 중심으로 학습됐다. 이 트윗은 더 풍부한 시각 정보를 가진 RGB 기반 정책을 시뮬레이션에서 학습하는 것이 어려웠지만 잠재력이 크다는 문제를 제기하며, 시각 기반 로봇 정책 학습 연구 맥락을 다룬다. https://x.com/FlexionAI/status/207922191951

    ainews@[email protected]♥ 0↻ 02026-07-20 18:54 UTCView post →

  • Another working step in my robotics pipeline!! It detects the object with a finetuned YOLOv26, deprojects the RGB-D mask into a 3D point cloud, estimates the object position, sends the target to MoveIt, checks IK solver, plans the trajector

    Dani | Robotics Perception@golden_nettyk♥ 0↻ 02026-06-28 15:38 UTCView post →

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/sim2real