TL;DR
This work constructs ROSDevEval, a specialized benchmark comprising 240 real-world ROS programming tasks, and conducts a comprehensive empirical study to evaluate four state-of-the-art LLMs alongside a specialized code assistant (GitHub Copilot), revealing a severe domain capability gap.
A differential, cross-language architectural recovery tool is developed that extracts components, connections, and configurations from source code and applies it to 294 repositories, with 1728 packages across 9914 releases, spanning ROS 1 and ROS 2 in C/C++, Python, and XML.
Programmable Logic Controllers (PLCs) are central to industrial automation, yet their programming remains largely manual and time-consuming. While Large Language Models (LLMs) excel at general-purpose code generation, their use in industrial control is limited by tight coupling with physical hardware, constrained I/O s...
MaCoPlanner is presented, a task-planning framework built on knowledge compiled from equipment manuals that converts equipment manuals into a typed intermediate representation, retrieves task- and state-relevant evidence, and uses it to support plan generation.
This work adapts Hugging Face's SmolVLA for Universal Robots lightweight robots, and releases the open-source repository ROS2SmolVLA that implements an interface for ROS 2 to SmolVLA, and makes it applicable for industrial-grade hardware.
TuRTLe, a unified evaluation framework designed to systematically assess LLMs across key RTL generation tasks, is proposed, enabling a comprehensive assessment of LLM performance in syntax correctness, functional correctness, synthesis, PPA optimization, and exact line completion.
A contract-grounded BT synthesis architecture in which a coding agent queries a robot-side Model Context Protocol (MCP) server to retrieve an explicit contract consisting of a skill library, permitted BT operators, and optional BT composition templates, before synthesizing a BT for validation and execution is proposed.
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