Embedding Autonomous Agents in Resource-Constrained Robotic Platforms
Abstract
Many embedded devices operate under resource constraints and in dynamic environments, requiring local decision-making capabilities. Enabling devices to make independent decisions in such environments can improve the responsiveness of the system and reduce the dependence on constant external control. In this work, we integrate an autonomous agent, programmed using AgentSpeak, with a small two-wheeled robot that explores a maze using its own decision-making and sensor data. Experimental results show that the agent successfully solved the maze in 59 seconds using 287 reasoning cycles, with decision phases taking less than one millisecond. These results indicate that the reasoning process is efficient enough for real-time execution on resource-constrained hardware. This integration demonstrates how high-level agent-based control can be applied to resource-constrained embedded systems for autonomous operation.
Cite
@article{arxiv.2601.04191,
title = {Embedding Autonomous Agents in Resource-Constrained Robotic Platforms},
author = {Negar Halakou and Juan F. Gutierrez and Ye Sun and Han Jiang and Xueming Wu and Yilun Song and Andres Gomez},
journal= {arXiv preprint arXiv:2601.04191},
year = {2026}
}
Comments
This is an open-access, author-archived version of a manuscript published in European Conference on Multi-Agent Systems 2025