# ManycoreTech的SPEAR论文被ECCV2026接收，将Unreal Engine转为可编程机器人训练系统

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-07-04 11:28
- AIHOT 分数：49
- AIHOT 链接：https://aihot.virxact.com/items/cmr5tf3up05gsslc7s1029dpu
- 原文链接：https://x.com/rohanpaul_ai/status/2073247655556423975

## AI 摘要

ManycoreTech团队的SPEAR论文被ECCV2026接收，将Unreal Engine从视觉模拟器转为可编程机器人训练系统。SPEAR暴露14K个UE函数给Python，以73fps渲染1080p帧，支持脚本化世界、智能体、相机、材质、标签和确定性场景执行。平台基于OpenUSD，形成从真实空间到机器人训练的闭环：数字化→模拟→训练。与Syn-GRPO和WalkerBench共同构成Physical AI的数据、仿真与评估基础设施。

## 正文

Robotics is hitting a wall that larger models alone cannot climb.

Physical AI cannot scale on videos alone, and these papers show why.

@ManycoreTech research team’s #ECCV2026 accepted paper SPEAR turns Unreal Engine from a visual simulator into a programmable robotics training system.

Its big step is exposing 14K UE functions to Python while rendering 1080p frames at 73fps. Gives you scriptable worlds, agents, cameras, materials, labels, and deterministic scene execution.

#Simulation #EmbodiedAI #SpatialIntelligence

### 引用推文

> Manycore Tech：Our papers just got accepted at #ECCV2026 — and the one we're most excited about: SPEAR, our next-gen Physical AI simulation platform, built with multiple tech ...