TY - GEN
T1 - The Development of the Intuitive Teaching-Based Design Method for Robot-Assisted Fabrication Applied to Bricklaying Design and Construction
AU - Hsu, Jia Shuo
AU - Shen, Yang Ting
AU - Cheng, Fang Che
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - This paper proposes the TRAC (Teaching-based Robotic Arm Construction) system, which aims to the intuitive robot-assisted bricklaying process. The goal of this research is to integrate the design-to-build process and help designers to implement robotic-assisted fabrication. The paper introduces two-staged steps of practice: 1. The teaching-based design method simulates bricklaying motion in VR to lead the intuitive design process; 2. The auto-translation from the design result to the robotic arm bricklaying working path. Finally, the verification of the system is implemented in the campus workshop via the KUKA robot. The final brick wall result shows the seamless working process from intuitive teaching-based design to robot-assisted build.
AB - This paper proposes the TRAC (Teaching-based Robotic Arm Construction) system, which aims to the intuitive robot-assisted bricklaying process. The goal of this research is to integrate the design-to-build process and help designers to implement robotic-assisted fabrication. The paper introduces two-staged steps of practice: 1. The teaching-based design method simulates bricklaying motion in VR to lead the intuitive design process; 2. The auto-translation from the design result to the robotic arm bricklaying working path. Finally, the verification of the system is implemented in the campus workshop via the KUKA robot. The final brick wall result shows the seamless working process from intuitive teaching-based design to robot-assisted build.
UR - http://www.scopus.com/inward/record.url?scp=85133172234&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133172234&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06394-7_8
DO - 10.1007/978-3-031-06394-7_8
M3 - Conference contribution
AN - SCOPUS:85133172234
SN - 9783031063930
T3 - Communications in Computer and Information Science
SP - 51
EP - 57
BT - HCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Human-Computer Interaction, HCI International, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -