Max Robotics — Global Service Robot Directory + US Certification

About

Michael Lawo is a leading researcher at the intersection of wearable technology, assistive systems, and human-robot collaboration. His most impactful contribution is the development of a wearable navigation system for visually impaired and blind people, which maps and tracks users in unknown indoor and outdoor environments—a work that has garnered 47 citations and remains foundational in assistive robotics. Lawo’s research also addresses critical challenges in industrial human-robot interaction, notably how to reduce worker anxiety during collaboration. His 2016 study on anxiety reduction (12 citations) explores psychological barriers in direct human-robot workspaces, while his 2017 work on certifiable software architectures (4 citations) proposes a framework for safe, spatially integrated human-machine collaboration in production environments, moving beyond traditional temporal or spatial separation. Additionally, his 2015 German-language paper on prediction-based safe human-robot collaboration (3 citations) advances real-time safety mechanisms. Lawo’s work is distinguished by its dual focus on accessibility—empowering vulnerable populations—and on creating certifiable, anxiety-aware systems for industrial settings, bridging human-centered design with rigorous engineering standards.