Four-module architecture for language-driven robot control in educational simulation

Design · All designs
Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

The article describes a hierarchical instruction processing pipeline in which natural language is translated into executable robot behavior. The architecture "consist of four modules: (1) Natural language interface, (2) LLM-based instruction planner, (3) Simulation control backend, and (4) User interaction frontend." User instructions are sent to an LLM via structured prompts, and the LLM output is converted into Python control code executed in CoppeliaSim through action primitives such as moveForward, moveToXY, and closeGripper. The backend also implements 7-stage progressive deceleration with overshoot detection and maintains trajectory history for navigation.

Design Implications

Context

Requirements

• A structured prompt template and a pre-constructed control function library are needed so the LLM planner can translate directives into robot-compatible action primitives

Constraints

• The LLM planner depends on the language-model backend chosen; the backend was evaluated with Groq's llama-3.3-70b-versatile

Target Learners

• beginner robotics learners
• non-expert robot users

Learning Goals

• intuitive natural-language control of robotic systems
• understanding language-to-action translation in robotics

Claims

• A single natural-language command can be decomposed by an LLM into coordinated sequential action sequences for multiple robots [+W]
• Natural language control requires less human operation time than manual control for all five complex tasks tested [+W]
• LLM-generated robot control code succeeds on 100%, 94.4%, and 88.9% of simple, composite, and complex instructions respectively [+W]

Related Designs

• Edusim Llm Platform

Examples

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Key Sources

• Shenqi Lu and Liangwei Zhang. (2026). EduSim-LLM: An Educational Platform Integrating Large Language Models and Robotic Simulation for Beginners. https://arxiv.org/abs/2601.01196

Page metadata

Field	Value
type	design
id	edusim-llm-four-module-architecture
title	Four-module architecture for language-driven robot control in educational simulation
description	The article describes a hierarchical instruction processing pipeline in which natural language is translated into executable robot behavior.
status	review
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content
sources	1 — shenqi-lu-and-liangwei-zhang-2026

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