https://home.roboticlab.eu/ 2026-04-05T12:12:07+00:00 https://home.roboticlab.eu/ https://home.roboticlab.eu/_media/wiki/logo.png text/html 2025-10-28T16:01:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/applicationdomains?rev=1761667304&do=diff Application Domains – Aerial, Ground, and Marine Vehicle Architectures Application Domains Overview Autonomous systems operate across diverse environments that impose unique constraints on perception, communication, control, and safety. While all share a foundation in modular, layered architectures, the operational domain strongly influences how these layers are implemented text/html 2025-10-22T11:45:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/as?rev=1761133527&do=diff Autonomous Vehicles [ Bachelors (1st level) classification icon ] Autonomous vehicles, also known as self-driving vehicles, are platforms that can move and make decisions without direct human intervention. They use advanced technologies such as artificial intelligence, sensors, cameras, and navigation systems to analyze their surroundings and make decisions in real time. Autonomy of mobile vehicles means the ability to independently determine their own control signals. In the case of mobile … text/html 2025-10-20T11:05:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/autolevels?rev=1760958332&do=diff Definitions, Classification, and Levels of Autonomy [ Bachelors (1st level) classification icon ] Autonomy of unmanned systems refers to their ability to self-manage, make decisions, and complete tasks with minimal or no human intervention. The scope of autonomy ranges from zero to full capability, often defined through models, and encompasses four fundamental functions: perception, orientation, problem-solving (planning), and action. Advances in autonomy enable unmanned systems to learn, ad… text/html 2025-07-02T12:56:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/automanual?rev=1751460975&do=diff Intersection of Autonomy with Governance [ Bachelors (1st level) classification icon ] In most cases, the generic V&V process must grapple with massive ODD spaces, limited execution capacity, and high cost of evaluation. Further, all of this must be done in a timely manner to make the product available to the marketplace. Traditionally, the V&V regimes have been bifurcated into two broad categories: Physics-Based and Decision-Based. We will discuss the key characteristics of each now. text/html 2025-10-20T10:44:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/challenges?rev=1760957088&do=diff Domain-Specific Challenges in Autonomy [ Bachelors (1st level) classification icon ] Autonomous technologies and robotics are redefining possibilities, improving efficiency and safety across sectors. Advanced applications such as self-driving vehicles, crop and harvesting robots rely on precise GNSS/GPS positioning and require centimeter-level accuracy to function properly. As the domain of autonomous applications expands, the ability to use reliable, real-time GNSS/GPS correction services b… text/html 2025-10-29T07:53:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/cybersec?rev=1761724422&do=diff Cybersecurity [ Bachelors (1st level) classification icon ] Drones' cybersecurity covers all aspects of IT security systems, but due to their autonomous operations and the physical presence of potentially dangerous devices, they could have a far greater impact on outcomes, including life-threatening incidents. This is related to their physical presence, including commonly relatively high weight (compared to the human body), high operational speeds and thus large impact energy. text/html 2025-10-12T15:14:01+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/frameworks?rev=1760282041&do=diff Legal, Ethical, and Regulatory Frameworks [ Bachelors (1st level) classification icon ] Figure 1 In society, products operate within the confines of a legal governance structure. The legal governance structure is one of the great inventions of civilization and its primary role is to funnel disputes from unstructured expression and perhaps even violence to the domain of courts (figure 1). To be effective, legal governance structures must be perceived as fair and predictable. The objective … text/html 2025-10-17T08:57:55+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/general?rev=1760691475&do=diff General Concepts of Architecture for Autonomous Systems Software architecture represents the high-level structure of a system, outlining the organisation of its components, their relationships, and the guiding principles governing their design and evolution. In autonomous systems, architecture defines how perception, planning, and control modules interact to achieve autonomy while maintaining safety, reliability, and performance text/html 2025-10-17T10:05:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/hwintegration?rev=1760695535&do=diff Typical Hardware Integration Procedures & Supply Chain Management Approaches Hardware integration is a structured, iterative process designed to ensure that all components — sensors, processors, actuators, and communication modules — work together seamlessly and safely. In autonomous systems, integration must account for functional, electrical, mechanical, and software–hardware interfaces simultaneously text/html 2025-10-17T09:21:55+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/refarchitectures?rev=1760692915&do=diff Reference Architectures for Autonomous Systems Reference architectures serve as standardised templates guiding the design of specific systems. They establish a common vocabulary, promote interoperability, and enable systematic validation. ROS and ROS 2 Framework text/html 2025-10-17T10:00:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/suppluchain?rev=1760695206&do=diff Supply Chain Concepts & Challenges in Autonomous Systems In the context of modern engineering and technology industries, a supply chain refers to the network of organisations, resources, and processes involved in the design, procurement, manufacturing, and delivery of a product or system text/html 2025-10-17T10:15:58+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/suppluchainmanagement?rev=1760696158&do=diff Typical Supply Chain Management (SCM) Approaches Supply Chain Management (SCM) refers to the strategic coordination of procurement, production, logistics, and distribution processes to ensure timely and cost-effective delivery of materials and systems text/html 2025-10-17T09:09:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/typical?rev=1760692150&do=diff Typical Autonomous System Software Architecture Autonomous systems, regardless of their physical domain — ground, aerial, or marine — share a common architectural logic that structures how data flows from sensors to decision-making and control units. This section explores the typical functional architecture and the operational pipeline that enable autonomous behaviour. text/html 2025-10-17T09:36:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/uas?rev=1760693801&do=diff Ground, Aerial, and Marine Vehicle Architectures [ Bachelors (1st level) classification icon ] Introduction Over the past two decades, the rapid evolution of digital technologies has transformed the design, deployment, and operation of autonomous systems. The advancements in artificial intelligence (AI), robotics, and advanced sensors have driven the emergence of intelligent platforms, which, depending on their application domain and specifics, are capable of operating with limited or no huma… text/html 2025-09-18T12:33:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/vreq?rev=1758198828&do=diff Validation Requirements across Domains [ Bachelors (1st level) classification icon ] In terms of domains, the Operational Design Domain (ODD) is the driving factor, and typically have two dimensions. The first is the operational model and the second is the physical domain (ground, airborne, marine, space). In terms of ground, Passenger AVs are perhaps the most well-known face of autonomy, with robo-taxi services and self-driving consumer vehicles gradually entering urban environments. Compan… text/html 2025-06-28T16:01:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/as/vvintro?rev=1751126467&do=diff Introduction to Validation and Verification in Autonomy [ Bachelors (1st level) classification icon ] As discussed in the governance module, whatever value products provide to their consumers is weighed against the potential harm caused by the product, and leads to the concept of legal product liability. From a product development perspective, the combination of laws, regulations, legal precedence form the overriding governance framework around which the system specification must be construc…