The rhetoric of collaborative robotics hides a paradox: cobots rarely collaborate. Despite the language of partnership, implementation practices overwhelmingly substitute or deskill workers while portraying humans as “operators” or “human factors.” Beneath talk of partnership lies a logic of replacement. Drawing on feminist HCI and theories of tacit and embodied knowledge, this paper exposes how an efficiency discourse dehumanizes labour. Reframing cobot design as ethical and relational restores the “co” in cobot and reduces the risk of losing valuable knowledge in the implementation process.

Challenges in engineering design require more efficient and effective approaches for the development of new product generations based on references. The combination of the structural conceptual view of SGE and the data-driven, geometry-focused view of technical inheritance (TI) in cross-generational product development offers great potential. This contribution presents a detailed analysis of both approaches regarding similarities, differ-ences, and limitations with resulting interfaces as a theoretical foundation to systematically exploit the synergies of SGE and TI in the future.

Falls among older adults are commonly addressed through hazard reduction and clinical risk management. However, such approaches often overlook how instability emerges within everyday domestic interaction and how values such as autonomy and environmental coherence shape the acceptance of interventions. This study reframes fall risk as an emergent socio-technical phenomenon arising from the coupling between bodily perception, routine practice, and spatial configuration.

A cross-sectional survey was conducted with 184 community-dwelling older adults in Chile to explore perceptions of bodily vulnerability (pain, instability, visual difficulty), behavioural adaptations in daily activities, prior fall experiences, and attitudes toward assistive solutions. Exploratory factor analysis identified two interrelated dimensions: bodily vulnerability and behavioural adaptation. Cluster analysis revealed two interaction profiles: a transparent mode characterized by implicit bodily trust, and a negotiated mode involving systematic adaptive strategies. Logistic regression indicated that profile membership was primarily associated with functional perceptions rather than demographic variables.

The findings suggest that behavioural adjustments tend to emerge in relation to perceived instability, highlighting fall risk as a dynamic interactional condition rather than a static environmental hazard. For design and engineering, this implies shifting from device-centered prevention toward value-based product and service development that enhances routine fluency, anticipates transitional bodily states, and integrates safety without undermining autonomy or environmental coherence. The study contributes an empirically grounded framework for responsible and context-sensitive design in aging societies.

Recent drone technology development has shown increased technological agility through the use of commercial-off-the-shelf components. It is therefore important to design drone detection technology using the same agility and price. This study presents the design and development of a multi-modal drone detection system using cost-effective sensors and machine learning, while exemplifying a technology design methodology. The system can replace a monolithic central detector with a distributed network of small, enabling flexible deployment and lower costs than traditional solutions.

The paradigm of technical inheritance describes cross-generational product development based on product lifecycle information obtained from data collected by strain-gauge sensor networks. To minimise the sensor quantity regarding costs and installation effort while maintaining a max. accuracy of information, an optimal sensor placement (OSP) is required. Two approaches are compared in this study, where the modal method is used to reconstruct a whole deformation field from local strain measurements. A newly developed approach proved significant benefits in contrast to a pre-existing approach.