XVIII. MİMARLIKTA SAYISAL TASARIM ULUSAL SEMPOZYUMU
Non-Verbal Communication Strategies in Robotic Design Approaches: The Case of Myco-morphosis
Yayıncı:
Balıkesir Üniversitesi Yayınları
The interaction between humans and robots has become a focal point in design and construction research, particularly in the realms of co-creation and co-design, driven by advancements in Artificial Intelligence and robotics. This interaction has been explored through various avenues such as formwork studies, creation, and fabrication within the construction process, aiming to synchronize human creativity with robotic precision to create collaborative workflows. Traditional industrial building materials like concrete, wood, and steel are being scrutinized for their environmental impact, prompting a shift towards bio-based materials in response to climate crisis concerns. Bio-based materials, characterized by their ability to transform and evolve over time, are replacing static and durable industrial materials, enabling flexible designs. This transition necessitates a reevaluation of collaborative workflows in design and construction processes, particularly in robotic design methods. Effective verbal communication with robots is crucial in this context, with systematic methods such as the KUKA Robotic Language Interface (KRL) and visual programming interfaces like Rhino and Grasshopper enhancing human-robot interaction with a focus on bio-based materials. These tools facilitate intuitive communication, especially when incorporating bio-based materials, and enable necessary improvements by reassessing collaborative workflows. Mycelium-based materials, being a subset of biomaterials, require different communication methods due to their growth and change capabilities over time. Mycelium, the vegetative part of fungi, utilizes agricultural waste as substrates, gradually solidifying and forming a network structure as it grows. These growth characteristics allow the use of non-verbal communication systems based on changes in color, pattern, texture, and morphology, which play a critical role in robotic co-design methods. Computer Vision (CV) techniques, such as image classification and object detection, enhance human-robot interactions by enabling real-time responses. These technologies are vital for tasks such as automatic object detection and robotic assembly, yet few studies have focused on the morphological status of mycelium-based materials. The "Myco-morphosis" case study aims to elaborate on the non-verbal communication systems and feedback based process-led methodology that facilitate interactions between humans, robots, and living bio-based materials specifically mycelium. It seeks to establish a collaborative framework for mycelium-based design, examine real-time interactions, and address fundamental research questions regarding creative design processes and collective workflows. The study is structured into five stages: (1) identification of interaction actors and their roles, (2) definition of modular design process , (3) description of laboratory experiments and data collection methods (4) training the CNN model and system synchronization and (5) simulating the non-verbal communication and human-robot-mycelium collaboration computationally. Utilizing CV techniques, visual programming software, and robotic arms, this study aims to investigate the complex interplay of human-robot-living mycelium interactions and contribute to nature-based design methodologies. Myco-morphosis aims to offer creative solutions in design processes involving bio-based materials.
