Max Robotics — Global Service Robot Directory + US Certification

About

Marc Fischer is a researcher at the forefront of safety-critical automation, focusing on the intersection of fault tolerance, human-robot collaboration, and software-based reliability. His primary contributions lie in advancing arithmetic coding techniques for floating-point and integer calculations, enabling standard hardware to be used in safety-critical applications without specialized components. Fischer's work demonstrates that arithmetic coding—already proven in production systems—can be extended to complex mathematical functions, achieving fault tolerance through software-level encoding. His 2021 paper on arithmetic coding for floating-points and elementary functions has garnered 4 citations, while his subsequent 2022 analysis of integer encoding performance has been cited 2 times. Beyond fault tolerance, Fischer addresses the pressing challenge of dynamic safety in human-robot coexistence. His 2023 study on dynamic safety distance determination proposes adaptive speed and separation monitoring based on EN ISO 10218 standards, allowing robots to adjust behavior in real-time to avoid collisions. This work is critical for enabling flexible, safe industrial environments where humans and robots work side-by-side. Fischer’s research bridges theoretical encoding methods with practical safety solutions, making him a key contributor to the evolution of reliable, collaborative automation.