2022 IDSFC
第九屆國際設計研究論壇暨研討會

This paper explores the practicability of interdisciplinary collaboration at the National Taipei University of Technology during the pandemic. The Electrical Engineering and Industrial Design department worked together using Problem-Based Learning to tackle the problems we encountered during the pandemic quarantine. During the outbreak, the university's foreign and overseas Chinese students must go through mandatory quarantine within the university's dormitory upon arrival to decrease the possibility of infecting others. However, it creates inconvenience for students to obtain their necessities while in isolation. As a result, students used human-centered design to design a high-fidelity autonomous robot for testing delivering goods from door to door and building to building using 2D LiDAR and 3D LiDAR to help with location detection, therefore helping reduce human contact. This collaboration reveals how two different backgrounds of students when facing uncertainties, students combine pre-existing technologies and their previous knowledge and use the Problem-Based Learning method to solve the ill-structured problem. The outcomes show the importance of collaborating with dissimilar minds and perspectives within the university, allowing students to learn from each other and help accelerate the trial-and-error process and push for innovation.