Design with AI assistance

Pablo Montoya Diego (Applus IDIADA)

In an increasingly competitive global environment, there is currently a significant push among automakers to reduce development times for new models. This project is an exploration of Artificial Intelligence tools that have been introduced in the last two years for image and 3D volume generation, and how they can be used by designers to streamline the styling process and save significant amounts of time in turning their ideas into reality, while retaining full creative control over their output.

Challenges and Innovations in Sustainable Urban Vehicle Design.

EMILIA Romero Tienda･Ines Munoz (A43581610)

The design of innovative vehicles for urban environments presents multiple challenges in the context of sustainable mobility. This study examines the current challenges in developing urban vehicles that must comply with the principles of circular economy, carbon footprint and cost reduction, while adapting to the diverse needs of users and travel purposes. Through the analysis of two vehicles, designed for people and goods, outstanding challenges in designing truly versatile products are identified and assessed. This research contributes to the understanding of the key factors for achieving more efficient, safe and tailored urban mobility, aligned with the demands of modern society.

Fusion of Design and Function in Robot Arms and Differential Swerve Drive

Kaito Ota (Tokyo University of Agriculture and Technology)

In designing the robot arm and differential swerve drive, we aimed for a fusion of technical performance and cool design. We will introduce the specific process of pursuing the fusion of function and design, and the points we focused on, while exhibiting actual products.

Reflection of design by featuring infusion molding

Mikio Yonaha･Atsushi Dobata (Fabricators)

Practical infusion molding with simple equipment and one-op enables high-quality small-lot production with high design refrection.
Flexibility in management of derivery term and cost, as well as an improved working environment (reduced solvent exposure).

The Impact of Generative AI on Design Processes and Intellectual Property Management

Yasuhide Yokoi･Masafumi Asakura (Final Aim)

The evolution of generative AI is accelerating design processes and expanding creative approaches. At the same time, intellectual property (IP) risk management and protection have become critical challenges. This report examines the benefits and challenges of generative AI through real-world design case studies. Additionally, it explores the current state of IP management and practical initiatives, proposing next-generation design processes that integrate these advancements.