Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments

📝 Original Info

• Title: Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments
• ArXiv ID: 2510.21902
• Date: 2025-10-24
• Authors: ** 정보 제공되지 않음 (논문에 명시된 저자 정보가 없으므로 추후 확인 필요) **

📝 Abstract

Software Engineering Agents (SWE-Agents) have proven effective for traditional software engineering tasks with accessible codebases, but their performance for embodied tasks requiring well-designed information discovery remains unexplored. We present the first extended evaluation of SWE-Agents on controller generation for embodied tasks, adapting Mini-SWE-Agent (MSWEA) to solve 20 diverse embodied tasks from the Minigrid environment. Our experiments compare agent performance across different information access conditions: with and without environment source code access, and with varying capabilities for interactive exploration. We quantify how different information access levels affect SWE-Agent performance for embodied tasks and analyze the relative importance of static code analysis versus dynamic exploration for task solving. This work establishes controller generation for embodied tasks as a crucial evaluation domain for SWE-Agents and provides baseline results for future research in efficient reasoning systems.

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