Open Access

Advances in eye-tracking control for assistive robotic arms provide intuitive interaction opportunities for people with physical disabilities. Shared control has gained interest in recent years by improving user satisfaction through partial automation of robot control. We present an eye-tracking-guided shared control design based on insights from state-of-the-art literature. A Wizard of Oz setup was used in which automation was simulated by an experimenter to evaluate the concept without requiring full implementation. This approach allowed for rapid exploration of user needs and expectations to inform future iterations. Two studies were conducted to assess user experience, identify design challenges, and find improvements to ensure usability and accessibility. The first study involved people with disabilities by providing a survey, and the second study used the Wizard of Oz design in person to gain technical insights, leading to a comprehensive picture of findings.

This report explores the concept of the Minimum Viable Product (MVP) and its application in product development, with a particular focus on its connection to business model types. The primary goal of this study is to elucidate the significance and benefits of the MVP approach, alongside its practical applications and challenges. In the theoretical section, the report outlines the core principles and foundations of MVPs, contextualizing them within the broader framework of agile methods. The practical section features two case studies: Dronex 360 and TeamWeltretter. These cases illustrate the practical implementation of MVPs and the tangible results achieved. The findings indicate that MVPs can significantly enhance the efficiency and reduce the risks associated with product development. However, the research also addresses the limitations and challenges of the MVP approach, particularly the balance between minimal functionality and customer requirements. Additionally, the report examines the relationship between MVPs and various business model types, showcasing how MVPs can facilitate the validation and iteration of business models. This work contributes to a deeper understanding of the MVP concept and provides practical recommendations for companies looking to adopt more agile and customer-centric product development processes.

This paper introduces a surrogate modeling approach for simulating Triply Periodic Minimal Surfaces (TPMS), which can be used in various engineering applications due to their unique geometric, mechanical properties and light weight properties as a second hierarchy level below the component design level. The detailed finite element analysis of theses structure in components, require inten- sive computational resources due to the complex geometries of TPMS. To address these challenges, we propose a surrogate model that simplifies the geometric and mechanical representation of TPMS, enabling more effcient simulations without compromising accuracy. This model was validated against experimental data from bending tests performed on TPMS structures fabricated using additive manufac- turing techniques. The surrogate model demonstrated excellent agreement with experimental results, offering a promising tool for the rapid and effcient design of TPMS-based components. The model’s utility is underscored by its application in predicting the mechanical behavior of TPMS structures under various loading conditions, confirming its potential for broader adoption in engineering design processes.