Rauch, Erwin

A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Woschank, M., Rauch, E., & Zsifkovits, H. (2020) · Sustainability

Impact of AI and Big Data on Business and SocietyTransport and Logistics Innovations

Cited by 338

Systematic analysis of needs and requirements for the design of smart manufacturing systems in SMEs

Rauch, E., & Vickery, A. R. (2020) · Journal of Computational Design and Engineering

Digital Transformation in IndustryFlexible and Reconfigurable Manufacturing Systems

Cited by 32

Combining safety and speed in collaborative assembly systems—An approach to time optimal trajectories for collaborative robots

Rojas, R. A., Garcia, M. A. R., Gualtieri, L., & Rauch, E. (2021) · Procedia CIRP

Robot Manipulation and LearningRobotic Mechanisms and Dynamics

Cited by 18

Teaching Axiomatic Design for a Long-Term Sustainable Introduction of Industry 4.0 in SMEs

Rauch, E., & Brown, C. A. (2021) · Procedia CIRP

Digital Transformation in IndustryDesign Education and Practice

Cited by 13