#motionplanning
Live, measured metrics for the hashtag #motionplanning from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #motionplanning
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 2026-11-08 03:22 UTC0 uses by 0 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 2026-11-08 03:22 UTCNo related tags with measured usage found for #motionplanning.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-08 03:22 UTCEverything below is measured over the latest 19 public posts (spanning ~47794 hours).
Posting hours (UTC) — busiest: 00:00
Languages: English (16) · French (2) · Dutch (1)
Avg boosts / post: 0.1
Top of the latest posts
Lukas Ziegler (@lukas_m_ziegler) ETH Zürich Legged Robotics Lab의 휴머노이드 로봇이 수평 철봉 구조물에 점프해 매달리고, 몸을 흔들어 이동한 뒤 착지하는 데모를 공개했다. 기존 다족보행 로봇이 주로 사용하는 지형 높이맵(heightfield)은 수평 바를 표현하기에 부적합하다는 점에서, 복잡한 3D 접촉·전신 제어·환경 표현 문제를 보여준다. https://x.com/lukas
Lukas Ziegler (@lukas_m_ziegler) Stanford University의 Oussama Khatib 로보틱스 강의를 무료 입문 자료로 소개했다. 운동학·동역학·제어·모션 플래닝·궤적 생성·로봇 설계 등을 다루며, 로보틱스 및 embodied AI 개발을 시작하려는 개발자에게 기초 학습 경로가 될 수 있다. https://x.com/lukas_m_ziegler/status/209702288904835931
Ilir Aliu (@IlirAliu_) Peter Corke의 Robotics Toolbox를 소개한다. 운동학·동역학, 역기구학, Jacobian, 모션 플래닝·제어, 위치추정·SLAM과 50개 이상 로봇 모델을 포괄하는 GitHub 기반 로보틱스 리소스다. Franka, Universal Robots, Kinova, Puma 등 실제 로봇 모델을 지원해 로봇 알고리즘 실험·교육·프로토타이핑에 활용할 수 있다. https:
#motionplanning across platforms
every network with a public tag surfaceFollow #motionplanning 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/motionplanning