Stephan Reichelt

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About

Stephan Reichelt is a rising force in industrial robotics, dedicated to bridging the gap between low-cost automation and high-precision manufacturing. His research centers on two critical challenges: enhancing robot accuracy for demanding tasks like milling and spray painting, and optimizing the control of inherently safe pneumatic collaborative robots. Reichelt’s major contributions include developing a novel modular robot tracking system, where his work on camera placement optimization (2023, 5 citations) offers a scalable, cost-effective alternative to expensive external trackers for error compensation. He further tackles the precision limitations of affordable robots through his “Stroke Division” method (2023, 2 citations), which improves repeatability for complex industrial processes like welding and cutting. In the domain of soft actuation, Reichelt has advanced the control of pneumatic robots by proposing a quasi time-optimal path tracking strategy that accounts for third-order actuator constraints (2024, 1 citation), enhancing their performance while preserving their inherent safety advantages. With a clear focus on making precision automation accessible and safe, Reichelt’s work is shaping the next generation of flexible, high-accuracy robotic systems for industry.