Automating apparel remanufacturing can improve textiles' ecological and societal impact, but integrating robotics into fashion is challenging due to fabric complexity. This demo presents a platform enabling non-experts to define multi-robot remanufacturing tasks through visualization-enhanced hand guiding. By leveraging collaborative automation and parametric systems, a dual-robot setup achieves precision and adaptability. Using Grasshopper for path planning and VVVV for real-time interaction, we created an intuitive, easy-to-use interface whereby real-time visualization makes advanced robotics accessible to non-experts, transforming remanufacturing processes, fostering innovation in human-robot collaboration, and ultimately advancing the fashion and textiles sector. This approach broadens participation and encourages sustainable solutions.

Disarming II is a performative exploration of the relationship between a robotic arm, its artificial environment, and human observers. An industrial robotic arm is placed freely on a gym mat, learning how to locomote. Witnessing the arm's first clumsy tries may evoke compassion or even a certain emotional bond. Historically, the ability to move on one's own was once considered a sign of being alive. While our understanding of autonomy and aliveness has evolved, our tendency to anthropomorphize remains. This work invites observers to reflect on their projections and the multiplicity of relationships between all involved entities.

Aesthetic perception and cognition processes are highly individual dynamic processes due to their dependency on the emotional affective state, perceptual analysis, memory, context, and cognitive mastering. Therefore, an aesthetic experience will always be perceived differently for every person and time. With our approach, we research the potential to define an adaptive physical aesthetic experience by the targeted EEG feedback of the perceiver.