CoDA: Co-Evolution of Data Engines and Action Policies
CoDA co-evolves robot simulation data and policies, lifting out-of-distribution success from 5.3% to 27.6%.
44
Product
LIBERO-Pro
- Mentions · 7d0
- Mentions · 30d2
- All mentions8
- First seenSep 19, 2026
- Last mentioned27d ago
Timeline
8 articles · newest firstCoDA: Co-Evolution of Data Engines and Action Policies
CoDA co-evolves simulation data engines and robot policies, lifting out-of-distribution manipulation success.
51
RoboRSI: Stable, efficient, and reusable robot self-evolution in complex real-world environments
RoboRSI lets a mobile manipulator reuse validated skills, beating baselines by up to 11 points.
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EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution
EmbodiedRSI reaches 77% success on RoboCasa365, nearly doubling the best baseline.
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MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation
MotorMind lets a general VLM control robots zero-shot, reaching 66.7% on LIBERO-PRO.
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RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
RoboFoundry evolves embodied agent systems as policies, lifting GPT-5.5 by 27.8% on EmbodiedBench.
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RAPID: Robot Agentic Programming from Demonstrations
RAPID turns one visual human demonstration into verified, reusable robot programs via an agentic coding loop.
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Grounded Action Model: 3D Grounding as a Foundation for Robotics
Grounded Action Models use 3D object grounding and beat prior robot policies on RoboTwin and LIBERO-PRO.
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Appears with
- CoDAai model · 1
- RoboMemArenaproduct · 1
- RoboTwinproduct · 1
- LIBEROproduct · 1
- Qwen3.7-Plusai model · 1
- MotorMindai model · 1
- Frankaproduct · 1
- Abot-M0ai model · 1
- pi0.5ai model · 1
- Grounded Action Modelai model · 1
- EmbodiedBenchproduct · 1
- Molmo2ai model · 1
- RoboCasa365product · 1
- LIBERO-Plusproduct · 1
- xArm6product · 1
- RoboTwin 2.0product · 1
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