Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems
2026-07-02 • Artificial Intelligence
Artificial IntelligenceMultiagent Systems
AI summaryⓘ
The authors explain that modern AI systems are made of many parts working together, but it's hard to keep them coordinated quickly and safely using software alone. They propose using special hardware called FPGAs to manage coordination tasks directly, making sure everything happens on time and follows rules without delays. Their method separates the thinking part, which stays in software, from the coordination part, which runs reliably in hardware. This helps ensure the system behaves predictably when different components work together in real time.
agentic AIfield-programmable gate arrays (FPGAs)semantic coordinationreal-time systemsPetri netsconcurrent systemstemporal synchronizationauthorization constraintshardware-software co-design
Authors
Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi
Abstract
Recent advances in agentic AI are producing increasingly complex autonomous systems that integrate large language models, world models, optimization engines, specialized neural architectures, autonomous platforms, and human operators. While much current research focuses on improving reasoning capabilities, safety-critical real-time deployment also requires bounded and verifiable coordination among heterogeneous components operating concurrently under uncertainty. Software-mediated coordination presents fundamental limitations in domains where bounded latency, deterministic coordination, and enforceable safety guarantees are essential. Hence, we propose a hardware-enforced semantic coordination architecture in which selected coordination semantics are implemented directly at the hardware level via field-programmable gate arrays (FPGAs). The approach builds on the Topic-Based Communication Space Petri Net (TB-CSPN) framework, which separates semantic reasoning from interaction management. In this approach, selected TB-CSPN coordination mechanisms are mapped onto FPGA primitives, creating a hardware-native semantic coordination layer. Focus is not on acceleration, but on enforcing temporal synchronization, semantic gating, authorization constraints, and bounded coordination behavior directly in hardware. Semantic reasoning remains adaptive and software-driven, while embedded coordination semantics become deterministic.