Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments — a case study

• Main Authors: Zabalza, Jaime, Fei, Zixiang, Wong, Cuebong, Yan, Yijun, Mineo, Carmelo, Yang, Erfu, Rodden, Tony, Mehnen, Jorn, Pham, Quang-Cuong, Ren, Jinchang
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Adaptive Reasoning; Dynamic Environments; DRNTU::Engineering::Mechanical engineering
• Online Access: https://hdl.handle.net/10356/105930; http://hdl.handle.net/10220/48779
• Institution: Nanyang Technological University

Traditional industry is seeing an increasing demand for more autonomous and flexible manufacturing in unstructured settings, a shift away from the fixed, isolated workspaces where robots perform predefined actions repetitively. This work presents a case study in which a robotic manipulator, namely a...