- Updated: March 11, 2026
- 1 min read
S5‑HES Agent: Democratizing Smart Home Simulation for Society 5.0
S5‑HES Agent: Society 5.0‑driven Agentic Framework to Democratize Smart Home Environment Simulation
The rapid evolution of smart‑home technologies is a cornerstone of the Society 5.0 vision, aiming for a human‑centred, data‑driven future. However, current simulators demand deep technical expertise, limiting participation to a narrow group of specialists. The S5‑HES Agent framework removes these barriers by orchestrating interchangeable large language models (LLMs) to configure, run, and analyse smart‑home simulations through natural language alone.
Key innovations include:
- Agentic orchestration: Specialized AI agents coordinate simulation tasks without programming.
- RAG pipeline: Retrieval‑augmented generation with semantic, keyword, and hybrid search delivers high‑fidelity smart‑home knowledge.
- Scalable engine: Predictable performance across diverse home configurations enables large‑scale research.
Evaluations show near‑optimal retrieval accuracy and realistic device behaviour that align with real‑world IoT datasets, providing a stable foundation for research in security, energy, health, climate, and socio‑economic domains.
Read the full paper on arXiv and explore the open‑source code on GitHub. For more insights on our AI‑driven solutions, visit our internal resources:
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.