Embodied AI
phyground
PhyGround: Benchmarking Physical Reasoning in Generative World Models
Project page ·
Paper ·
Evaluation code ·
PhyJudge-9B
PhyGround is a criteria-grounded benchmark for diagnosing physical failures in
generated video. It contains 250 prompts covering 13 observable physical
laws across solid-body mechanics, fluid dynamics, and optics. Each prompt is
paired with a first-frame image, 10 released generation configurations, and
applicable-law labels.
The Hub repository includes:… See the full description on the dataset page: https://huggingface.co/datasets/NU-World-Model-Embodied-AI/phyground.Jai-World-VRM-3D-Embodied-AI
Jai World - VRM 3D Embodied AI
Interact with an AI powered 3D vrm avatar in a virtual world. A lightweight desktop folder-based Flask app that supports both Ollama and OpenRouter.
This project explores personalized 3D world generation, embodied AI, AI spatial navigation, and virtual character interaction. This code is a working example. It's a starting point that can be tuned and expanded.
Tech stack:
Three.js + HTML + CSS + JS + Flask + Ollama/OpenRouter (qwen3.5:9b/… See the full description on the dataset page: https://huggingface.co/datasets/vbookshelf/Jai-World-VRM-3D-Embodied-AI.embodied-ai-dataset
ACCESS REQUIREMENT - FOLLOW TO DOWNLOAD
This dataset requires following the author to access.
How to Access
Follow @shangshang on HuggingFace: https://huggingface.co/shangshang
Request access by commenting on the dataset page
Once approved, you will receive download permissions
Usage Agreement
For research and educational purposes only
Do not redistribute without permission
Cite the dataset in your work:
@misc{shangshang_dataset_2026… See the full description on the dataset page: https://huggingface.co/datasets/shangshang/embodied-ai-dataset.1000-Segments-6-camera-Egocentric-Embodied-AI-Dataset
Description
1,042개의 멀티시나리오 Ego-Centric 데이터로 구성된 데이터셋으로, 각 데이터는 약 35초 길이의 완전한 동작 시퀀스를 포함합니다. 주거, 오피스, 인테리어, 리테일, 학교, 창고 등 6개 주요 환경과 34개 장소를 대상으로 데이터를 수집했습니다. 각 샘플에는 6개 카메라 영상, 관련 카메라 파라미터, 재구성 포인트 클라우드, SLAM 후처리 트래젝토리 및 손동작 키포인트 인식 결과 영상이 포함되어 있습니다.
자체 개발한 VSLAM 기술을 기반으로 밀리미터급 위치 측정을 지원하며, 멀티센서 하드웨어 트리거 동기화를 통해 1ms 이하의 정밀한 데이터 동기화를 구현했습니다. RGB 카메라는 최대 60fps의 고프레임레이트를 지원합니다. 본 데이터셋은 임베디드 AI, 공간 인식, 3D 재구성 등 다양한 모델의 학습 및 개발에 활용할 수 있으며, 고정밀 멀티시나리오 데이터와 표준화된 데이터 구성을 통해 높은 활용성을 제공합니다.… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/1000-Segments-6-camera-Egocentric-Embodied-AI-Dataset.ARCHIEVED-behavior-1k-embodiedAI-rollouts-hq-use
BEHAVIOR-1K Task-0 — Demos + X-VLA Rollouts
A merged dataset for BEHAVIOR-1K Task 0 (turning_on_radio) that combines:
200 human-teleoperated demonstrations from the upstream HuggingFace
behavior-1k/2025-challenge-demos (HF rows, episode indices 10..3000 stride-10).
259 X-VLA policy rollouts collected locally on the same scenes via OmniGibson, using the
Hoshipu/xvla-behavior1k-v20 task0-60k checkpoint
(collected rows, episode indices 5000..5258). All 259 are successful completions… See the full description on the dataset page: https://huggingface.co/datasets/Hoshipu/ARCHIEVED-behavior-1k-embodiedAI-rollouts-hq-use.embodied-ai-literature-metadata
Embodied AI Literature Metadata
This dataset contains normalized paper metadata collected for an Embodied AI /
Vision-Language-Action literature assistant. It is intended for metadata search,
paper triage, and PDF retrieval before PaperQA-style evidence reading.
Generated at: 2026-07-04T04:32:33.578443+00:00
Splits
Split
Records
With abstract
With PDF URL
topconf_all
79068
24519
62689
frontier_2026_quality
351
351
351
arxiv_recent_3y_score_gte_4… See the full description on the dataset page: https://huggingface.co/datasets/Cath1y/embodied-ai-literature-metadata.