独立行业技术评审 · 持续核验

GraspIT Real↔Sim 6D Grasp Corpus (not released)

论文描述1,035仿真+100真实场景、316,160个RGB-D标注帧、约230万抓取候选和五级滑移质量标签;官方仓固定提交只写release coming soon,无数据、工具或许可证。

GraspIT Real↔Sim 6D Grasp Corpus (not released)

论文描述1,035仿真+100真实场景、316,160个RGB-D标注帧、约230万抓取候选和五级滑移质量标签;官方仓固定提交只写release coming soon,无数据、工具或许可证。

开放状态
项目已核验·制品未开放
许可证
not available
商业使用
blocked
人工评审结论
paper_verified_316160_frames_official_repository_placeholder
机器人
simulated Franka Panda、robot-mounted RGB-D capture rig
任务
6D grasp generation、reachability filtering、slip-test scoring、Real-to-Sim registration
模态
RGB、depth、instance mask、6D object pose、6D grasp、quality score、camera calibration、CAD/point cloud、physical properties
格式
not released
采集/生成方式
Isaac Sim generation plus real RGB-D scanning and registration
已知问题
Repository placeholder; all scale figures are paper claims; slip validation is simulated; RTX6000 full generation estimated 2-3 months; no license or independent reuse.

论文原文 · 官方占位仓