Product Design
Product design research currently emphasizes creating systems that are safer, more efficient, and better integrated with human users. Key focus areas include developing compliant robotic systems for delicate tasks (e.g., medical imaging, tool wielding), leveraging machine learning for design optimization and control (e.g., reinforcement learning, Gaussian processes), and exploring the use of large language models to assist in the design process. These advancements are improving the performance and reliability of products across diverse fields, from medical devices and manufacturing to autonomous vehicles and infrastructure.
Papers
Design and Identification of Keypoint Patches in Unstructured Environments
Taewook Park, Seunghwan Kim, Hyondong Oh
Design and construction of a wireless robot that simulates head movements in cone beam computed tomography imaging
R. Baghbani, M. Ashoorirad, F. Salemi, Med Amine Laribi (COBRA), M. Mostafapoor
AI Foundation Model for Heliophysics: Applications, Design, and Implementation
Sujit Roy, Talwinder Singh, Marcus Freitag, Johannes Schmude, Rohit Lal, Dinesha Hegde, Soumya Ranjan, Amy Lin, Vishal Gaur, Etienne Eben Vos, Rinki Ghosal, Badri Narayana Patro, Berkay Aydin, Nikolai Pogorelov, Juan Bernabe Moreno, Manil Maskey, Rahul Ramachandran
Design, manufacturing, and inverse dynamic modeling of soft parallel robots actuated by dielectric elastomer actuators
Jung-Che Chang, Xi Wang, Dragos Axinte, Xin Dong
The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting
Ashwini Gundappa, Emilia Ellsiepen, Lukas Schmitz, Frederik Wiehr, Vera Demberg
Characterization and Design of A Hollow Cylindrical Ultrasonic Motor
Zhanyue Zhao, Yang Wang, Charles Bales, Daniel Ruiz-Cadalso, Howard Zheng, Cosme Furlong-Vazquez, Gregory Fischer