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Embodied Intelligence Sees Paradigm Shift! EinsiaAI Releases EmbodiedEvo, Self-Evolving Coding Agent Climbs to the Summit of Embodied Robodojo

1 reports1 reporting sourcesUpdated 3 hours ago

Overview

Event synthesis

EinsiaAI推出EmbodiedEvo,通过交互积累技能完成未知任务,在RoboDojo基准测试中以45.08分和38.95%成功率登顶Agent赛道,超越所有VLA/WAM方法。

Generated from attributed reports · Updated 1 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: 37.82 percent · Basis not reported · Differing source assertions
Supporting report

“在论文展示的本地评测中,EmbodiedEvo 取得 44.48 分、37.82% 成功率,超过表中全部对照方法。”

Exact source · revision 1

jiqizhixin

Reported quantity · Reported success rate: 69.67 percent · Basis not reported · Differing source assertions
Supporting report

“其中 Memory 与 Open 成功率分别达到 69.67% 和 53.00%。”

Exact source · revision 1

jiqizhixin

Reported quantity · Reported success rate: 53 percent · Basis not reported · Differing source assertions
Supporting report

“其中 Memory 与 Open 成功率分别达到 69.67% 和 53.00%。”

Exact source · revision 1

jiqizhixin

Reported quantity · Reported success rate: 100 percent · Basis not reported · Differing source assertions
Supporting report

“堆叠与 Tic-tac-toe 的成功率从 0 提高至 100%,Imitation sorting 从 0 提高至 80%。”

Exact source · revision 1

jiqizhixin

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Follow attributed reports and material updates.

10/15
  1. Machine Heart — Robotics on WeChatSignal
    Embodied Intelligence Sees Paradigm Shift! EinsiaAI Releases EmbodiedEvo, Self-Evolving Coding Agent Climbs to the Summit of Embodied Robodojo

    The Navers Lab team at EinsiaAI has introduced EmbodiedEvo, a self-evolving Coding Agent that accumulates coding skills and textual experience through interaction, enabling the Agent to complete tasks in unseen scenarios. In the RoboDojo benchmark, EmbodiedEvo achieved an average score of 45.08 and a success rate of 38.95%, surpassing all VLA/WAM, Agent, and Agent+VLA methods, taking the top position in the Agent track.

Event coverage history

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