Max Robotics — Global Service Robot Directory + US Certification

About

Carsten Maple is a prominent researcher whose work spans cybersecurity, robotics and autonomous systems, smart manufacturing, and the Internet of Things. His contributions have helped shape how industries approach digital transformation and intelligent automation, with particular emphasis on making these technologies secure, reliable, and socially beneficial. Maple's work on digital twin frameworks has advanced smart manufacturing, with his spiral digital twin and Twinchain paper accumulating 87 citations since 2020. Equally influential is his research demonstrating how robotics and autonomous systems can contribute to the UN Sustainable Development Goals, garnering 86 citations and highlighting both the promise and risks of emerging technologies in healthcare, food production, and environmental management. His 2020 work on unsupervised anomaly detection in multi-seasonal time series (66 citations) reflects a strong thread of applied machine learning running through his portfolio. On the security front, Maple has addressed AI and cyber risks in IoT environments, threat modelling for new space systems, and formal verification techniques for connected vehicles — establishing him as a leading voice in embedded and autonomous system security. His earlier contributions to robot navigation using genetic algorithms and roadmap-based path planning further demonstrate a career built on solving fundamental challenges in intelligent systems, bridging theoretical rigor with real-world impact.