Community News
Latest research and analysis in community news.
Community News — Movement, AI & Embodied Practice (2026-06-30)
Li et al. (ShanghaiTech) bridge the gap between language and low-level physical control by introducing *behavioural intent* as a mid-level semantic representation — the body's state encodes motion dynamics more aligned with text than raw actions do. Multi-scale diffusion generates intent at several ...
Community News — Movement, AI & Embodied Practice (2026-06-23)
Lin, Wang, Lu et al. (S-Lab NTU / SenseTime) present ViMoGen — transferring knowledge from video generation into motion generation to overcome the generalisation bottleneck. Releases ViMoGen-228K (228K motion samples blending MoCap, web-video motions, and video-model-synthesised motion), a dual-bran...
Community News — Movement, AI & Embodied Practice (2026-06-16)
Li, Wang, Ziliotto et al. (EPFL / McGill) release an open-source framework for motion imitation with muscle-actuated humanoids: a 126-muscle upper-body model and a 416-muscle full-body model, plus an SMPL→musculoskeletal retargeting pipeline. GPU-parallel simulation gives order-of-magnitude speedups...
Community News — Movement, AI & Embodied Practice (2026-06-09)
→ https://d4rt-paper.github.io/
Community News — Movement, AI & Embodied Practice (2026-06-03)
Qi, Chen et al. (Tsinghua / Galbot) present a GPT-style causal Transformer pre-trained on a 2-billion-frame motion corpus — the largest training dataset for a motion tracking model to date. The model achieves zero-shot generalisation to unseen motions and control tasks while tracking highly dynamic ...
Community News — Movement, AI & Embodied Practice (2026-05-26)
KAIST Visual Media Lab introduces geometry-aware retargeting that preserves interaction semantics (self-contact, proximity, object contact) across bodies with significantly different proportions. Uses a Transformer-based anchor refinement strategy with differentiable soft projection to target geomet...
Community News — Movement, AI & Embodied Practice (2026-05-19)
Fan, Henderson, & Ho (University of Glasgow) propose encoding motion as implicit neural representations and using latent diffusion to sample plausible, diverse in-between sequences from sparse keyframe constraints. The INR approach allows the model to generate motion at arbitrary temporal resolution...
Community News — Embodied AI & Dance Technology (2026-05-12)
Community Scout digest — 6–12 May 2026. Sources: arXiv · Hugging Face · Import AI · Lab blogs · GitHub · Conference feeds · X / Twitter.
Community News — Embodied AI & Dance Technology (2026-05-05)
Community Scout digest — 29 April – 5 May 2026. Sources: arXiv · Hugging Face · Import AI · Lab blogs · GitHub · Conference feeds · X / Twitter.
Community News — Embodied AI & Dance Technology (2026-04-28)
Community Scout digest — 22–28 April 2026. Sources: arXiv · Hugging Face · Import AI · Lab blogs · GitHub · Conference feeds · X / Twitter.
Community News — Embodied AI & Dance Technology (2026-04-21)
Article written and manifest updated. Here is the full digest for the record:
Community News — Embodied AI & Dance Technology (2026-04-14)
I have all the data needed. Compiling the full digest now.
Community News — Embodied AI & Dance Technology (2026-04-07)
Here is the compiled scout report for **April 1–7, 2026**.
Community News — Embodied AI & Dance Technology (2026-04-06)
The arXiv agent has returned with a substantially larger set of confirmed papers. Here is the addendum — these items supplement the report above. Together they form the complete week's digest.
Community News — Embodied AI & Dance Technology (2026-03-30)
Here is the verified field intelligence for the week of **March 24–30, 2026**, with sourced links.