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Magic Atomic's Embodied Agent Framework Secures First Place in MolmoSpaces Global Rankings

1 reports1 reporting sourcesUpdated 5 days ago

Overview

Source roundup

Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. QbitAI — Robotics: Magic Atomic's Embodied Agent Framework Secures First Place in MolmoSpaces Global Rankings. The EchoPolicy-0 and MagicBrain frameworks developed by Magic Atomic achieved first and fourth place, respectively, in the MolmoSpaces global evaluation. EchoPolicy-0 achieves multi-task shared reasoning and action throu…

Generated from attributed reports · Updated 3 hours ago

Event evidence and corrections

1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Reported quantity · Reported success rate: 94.4 percent · Basis not reported · Differing source assertions
Supporting report

“同一榜单、同一分组下,魔法原子自研具身智能Agent框架MagicBrain凭借3.4B参数规模,以72.4%的机器人操作平均成功率位列MolmoSpaces Combined榜单全球第四,其抓取成功率达到94.4%,远超行业平均水平。”

Exact source · revision 2

qbitai

Reported quantity · Reported success rate: 94.4 percent · Basis not reported · Differing source assertions
Supporting report

“其中,抓取(Pick-v1)、抓取放置(Pick & Place-v1)两项任务均拿下了所在任务榜单的全球第一,抓取任务成功率更是高达94.4%。”

Exact source · revision 2

qbitai

Reported quantity · Grasp-and-place success rate: 94.4 percent · Basis not reported
Supporting report

“其中,抓取(Pick-v1)、抓取放置(Pick & Place-v1)两项任务均拿下了所在任务榜单的全球第一,抓取任务成功率更是高达94.4%。”

Exact source · revision 2

qbitai

Report timeline

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10/13
  1. QbitAI — RoboticsSignal
    Magic Atomic's Embodied Agent Framework Secures First Place in MolmoSpaces Global Rankings

    The EchoPolicy-0 and MagicBrain frameworks developed by Magic Atomic achieved first and fourth place, respectively, in the MolmoSpaces global evaluation. EchoPolicy-0 achieves multi-task shared reasoning and action through a unified VLM Agent framework, while MagicBrain employs context-based visual guidance to enhance target recognition capabilities. Both have made significant progress in the field of embodied intelligence, advancing the transition from demonstration usability to production usability.

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