https://home.roboticlab.eu/ 2026-05-20T14:13:39+00:00 https://home.roboticlab.eu/ https://home.roboticlab.eu/_media/wiki/logo.png text/html 2025-10-22T08:46:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/autonomousaerialvehicles?rev=1761122779&do=diff Autonomous Aerial Vehicles text/html 2026-03-30T10:44:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/autonomousgroundvehicles?rev=1774867455&do=diff Autonomous Ground Vehicles UGV and AGV Vehicles The use of autonomous ground vehicles (AGVs) and unmanned ground vehicles (UGVs) is rapidly growing as multiple industries race to replace repetitive, labour-intensive, and dangerous tasks, thereby improving efficiency, productivity, and safety. While the terms AGV and UGV are often used interchangeably, there are a few differences between them. One key difference is that AGVs operate within buildings, such as warehouses, whereas UGVs primarily o… text/html 2025-10-22T08:46:52+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/autonomousmarinevehicles?rev=1761122812&do=diff Autonomous Marine Vehicles text/html 2026-04-07T06:55:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/autonomysoftstack?rev=1775544932&do=diff Autonomy Software Stack A typical autonomy software stack is organised into hierarchical layers, each responsible for a specific subset of functions — from low-level sensor control to high-level decision-making and fleet coordination. Although implementations differ across domains (ground, aerial, marine), the core architectural logic remains similar: text/html 2025-10-20T08:32:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/challengescars?rev=1760949128&do=diff Challenges of Autonomous Cars Fully autonomous (Level 5) cars are undergoing testing in several locations around the world, but none are yet available to the general public. We’re still years away from that. The challenges range from the technological and legislative to the environmental and philosophical. These are just some of the unknowns text/html 2025-10-20T09:53:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/challengesdrones?rev=1760954024&do=diff Challenges of Autonomous Drones Domain-specific challenges in drone autonomy include energy constraints like limited battery life, computational limitations on board for processing, environmental factors such as adverse weather, and operational complexity in dynamic environments like urban areas. Other challenges are the need for robust sensors and software, especially in GPS-denied environments, and navigating through dynamic obstacles and unpredictable conditions. All these challenges can be … text/html 2025-10-20T10:03:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/challengesmarine?rev=1760954588&do=diff Challenges of Autonomous Marine Vehicles Unmanned Marine Vehicles (UMVs) are crewless vessels that operate on or under the water's surface for tasks like research, surveillance, and logistics. They are categorized as unmanned surface vehicles (USVs) that operate on the surface, and unmanned underwater vehicles (UUVs) that operate submerged. UUVs further break down into remotely operated vehicles (ROVs), which are tethered and controlled from a distance, and autonomous underwater vehicles (AUVs)… text/html 2025-09-18T11:21:38+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/criticalsys?rev=1758194498&do=diff Governance Safety Critical systems [ Masters (2nd level) classification icon ] A. TRADITIONAL PHYSICS-BASED EXECUTION For MaVV, the critical factors are the efficiency of the MiVV “engine” and the argument for the completeness of the validation. Historically, mechanical/non-digital products (such as cars or airplanes) required sophisticated V&V. These systems were examples of a broader class of products which had a Physics-Based Execution (PBE) paradigm. In this paradigm, the underlying mo… text/html 2025-10-17T12:15:33+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/developmentchalenges?rev=1760703333&do=diff Development & Maintenance Challenges, Conclusions, and References Developing and maintaining an autonomous software stack is a long-term, multidisciplinary endeavour. Unlike conventional software, autonomy stacks must handle: * Continuous real-time operations, text/html 2026-04-24T06:33:11+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/softmgmt?rev=1777012391&do=diff Software Lifecycle and Typical Lifecycle Models The software lifecycle defines the complete process by which software is conceived, developed, deployed, maintained, and eventually retired. In the context of modern engineering — particularly for complex systems such as autonomous platforms, embedded systems, or enterprise solutions — understanding the lifecycle is essential to ensure quality, reliability, and maintainability. The lifecycle acts as a roadmap that guides project teams through stag… text/html 2026-04-24T06:47:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/softstacks?rev=1777013240&do=diff Autonomy Software Stacks Modern autonomous systems — from self-driving cars and unmanned aerial vehicles (UAVs) to marine robots and industrial co-bots — depend fundamentally on software architectures capable of real-time sensing, decision-making, and control. While mechanical and electronic components define what a system can do, the software stack defines how it does it — how it perceives the world, interprets data, plans actions, and interacts safely with its environment [66,67]. Autonomy so… text/html 2025-09-18T11:21:54+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/softtests?rev=1758194514&do=diff Testing Software Systems [ Masters (2nd level) classification icon ] B. TRADITIONAL DECISION-BASED EXECUTION As cyber-physical systems evolved, information technology (IT) rapidly transformed the world. Electronics design trends revolutionized industries, starting with centralized computing led by firms like IBM and DEC. These technologies enhanced productivity for global business operations, significantly impacting finance, HR, and administrative functions, eliminating the need for extensiv… text/html 2026-04-24T06:58:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/summary?rev=1777013917&do=diff Summary This chapter traces the evolution of software from programmable hardware foundations to a dominant force in modern computing systems. Early advances in hardware programmability—through configuration, programmable logic (e.g., FPGAs), and stored-program processors—enabled a separation between physical implementation and functional behavior. The introduction of stable computer architectures (notably IBM System/360) and operating systems created enduring abstractions that allowed software … text/html 2026-04-29T13:12:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://home.roboticlab.eu/en/safeav/softsys/vaicomp?rev=1777468350&do=diff Open issues of validating AI components AI COMPONENT VALIDATION Both the automotive and airborne spaces have reacted to AI by viewing it as “specialized Software” in standards such as ISO 8800 [14] and [13]. This approach has the great utility of leveraging all the past work in generic mechanically safety and past work in software validation. However, now, one must manage the issue of how to handle the fact that we have a data generated “code” vs conventional programming code. In the world of…