[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-83654-en":3,"doc-seo-83654-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},83654,3848291630094,"Emma Wilson","https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"Research & Report","Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems","Agentic AI is advancing toward autonomous systems that combine large language models, world models, optimization engines, specialized neural components, and human operation. Safety-critical real-time deployment requires coordination among heterogeneous components with bounded latency, deterministic behavior, and enforceable safety guarantees. Software-only coordination often cannot provide nonbypassable enforcement under uncertainty. This work proposes a hardware-enforced semantic coordination architecture that maps selected TB–CSPN semantics onto FPGA primitives to ensure temporal synchronization, semantic gating, authorization constraints, and bounded coordination while keeping semantic reasoning adaptive in software.","Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems  \nUwe M. Borghoff  \nDepartment of Computer Science University of the Bundeswehr Munich Neubiberg, Germany [uwe.borghoff@unibw.de](uwe.borghoff@unibw.de)  \nPaolo Bottoni  \nDepartment of Computer Science Sapienza University of Rome Rome, Italy [bottoni@di.uniroma1.it](bottoni@di.uniroma1.it)  \nRemo Pareschi  \nSTAKE Lab University of Molise Campobasso, Italy [remo.pareschi@unimol.it](remo.pareschi@unimol.it)  \narXiv :2607 .02376v 1 [ cs .AI] 2 Jul 2026  \nAbstract—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.  \nHence, 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.  \nIn this approach, selected TB–CSPN coordination mechanisms are mapped onto FPGA primitives, creating a hardwarenative 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.  \nIndex Terms—Agentic AI, FPGA, Petri nets, semantic coordination, TB–CSPN, real-time systems, autonomous systems, safety.  \nI. MOTIVATION  \nThe dominant research direction in agentic AI is improving reasoning: better foundation models, better planners, and better integration of symbolic and sub-symbolic components. These advances are real and necessary. They are, however, insufficient for safety-critical real-time deployment. The reason is that real-time autonomous systems do not fail primarily because their reasoning components are weak. They fail because the interactions between reasoning components are unbounded, non-deterministic, and unenforceable. A multiagent system may misbehave not because any single agent reasons incorrectly, but because messages arrive too late, synchronization conditions are interpreted inconsistently, or authorization steps are bypassed under operational pressure. In real-time autonomous systems, coordination itself is a firstclass safety concern. Current agentic AI systems depend on software-based coordination frameworks built around asyn-  \nchronous messaging, API-level interaction, and cloud-centric execution models. These mechanisms are well-suited to many non-critical applications, in which occasional delays, retries, or inconsistent response times can be tolerated. In real-time and adversarial environments, however, they face important limitations: scheduling decisions are often non-deterministic, latency can vary unpredictably, and concurrent interactions may give rise to race conditions or ambiguous synchronization behavior. As coordination is typically distributed across software services, message queues, middleware, and remote execution environments, auditing the resulting behavior, or proving enforcement of safety constraints, can be difficult.  \nThe central challenge is therefore not only to make agents more capable, but also to make their interactions more dependable. Software coordination alone provides adaptability, but it ","cbCaidRMfIhTIUsV","https://ap.wps.com/l/cbCaidRMfIhTIUsV","pdf",1646660,3,1,6,"English","en",105,"# Motivation\n## Limitations of software-mediated coordination\n## Coordination as a first-class safety concern\n## TB–CSPN and related semantic coordination ideas","[{\"question\":\"Why are software-only coordination mechanisms insufficient for safety-critical real-time autonomous systems?\",\"answer\":\"They often rely on asynchronous messaging, API-level interactions, and cloud-centric execution, leading to non-deterministic scheduling, variable latency, and race conditions. As a result, safety constraints are hard to audit or enforce deterministically.\"},{\"question\":\"What is the proposed solution in this work?\",\"answer\":\"A hardware-enforced semantic coordination architecture that implements selected coordination semantics directly at the FPGA level. The approach maps TB–CSPN coordination mechanisms onto FPGA primitives to create a hardware-native coordination layer.\"},{\"question\":\"How does the architecture handle semantic reasoning and coordination differently?\",\"answer\":\"Semantic reasoning remains adaptive and software-driven, while embedded coordination semantics become deterministic. Hardware enforces temporal synchronization, semantic gating, authorization constraints, and bounded coordination behavior.\"}]",1784189537,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":25,"language":24,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"hardware-enforced-semantic-coordination-for-safety-critical-real-time-autonomous-systems","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":20},"https://docshare.wps.com/document/research-report/",{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/hardware-enforced-semantic-coordination-for-safety-critical-real-time-autonomous-systems/83654/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":24,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-25","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why are software-only coordination mechanisms insufficient for safety-critical real-time autonomous systems?","Question",{"text":75,"@type":76},"They often rely on asynchronous messaging, API-level interactions, and cloud-centric execution, leading to non-deterministic scheduling, variable latency, and race conditions. As a result, safety constraints are hard to audit or enforce deterministically.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What is the proposed solution in this work?",{"text":80,"@type":76},"A hardware-enforced semantic coordination architecture that implements selected coordination semantics directly at the FPGA level. The approach maps TB–CSPN coordination mechanisms onto FPGA primitives to create a hardware-native coordination layer.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the architecture handle semantic reasoning and coordination differently?",{"text":84,"@type":76},"Semantic reasoning remains adaptive and software-driven, while embedded coordination semantics become deterministic. Hardware enforces temporal synchronization, semantic gating, authorization constraints, and bounded coordination behavior.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":92},[93,97,101,105,110,114,119,122,127,130,134],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":22,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]