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SEAR: Benchmark for Self-Evolving LLM Agents on Robots

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SEAR is a new benchmark and framework to rigorously evaluate how LLM agents self-evolve on robots, testing 7 frontier models on 330 sim tasks and real robots, finding Astra excels at live correction while Fable excels at code-first tool building.

LLM Robot Control VLA Benchmarks SEAR Self-Evolving Agents

Category: research

Author: @BangzhengL

Date: 2026-10-07T00:00:00

Duration: 20.5s

Source: https://x.com/BangzhengL/status/2107925014150582461

Reference: http://sear.bot

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