Max Robotics — Global Service Robot Directory + US Certification

About

Lucas Kaspersetz is an emerging researcher at the intersection of bioprocess engineering, laboratory automation, and data-driven experimentation. His work centers on developing intelligent, high-throughput robotic cultivation platforms that streamline biotechnological process development — an area where efficiency and reproducibility are critical yet historically difficult to achieve. Kaspersetz's most notable contribution, "Automated Bioprocess Feedback Operation in a High-Throughput Facility via the Integration of a Mobile Robotic Lab Assistant" (2022, 12 citations), demonstrated how mobile robotics could be seamlessly integrated into parallel cultivation systems to automate feedback-driven bioprocess control. Building on this foundation, he has advanced the field of self-driving experimentation, developing Workflow Management Systems based on Directed Acyclic Graphs that enable reproducible, interoperable, and modular experimental pipelines — addressing the broader reproducibility crisis in bioprocess research. More recently, his 2025 work on Bayesian automated regression of bioreactor models reflects a sophisticated push toward model-based process understanding even in early development stages with sparse data. His biological investigations, including model-based characterization of *E. coli* strains with impaired glucose uptake, round out a research profile that bridges computational modeling with wet-lab experimentation. With over 35 cumulative citations in just three years, Kaspersetz is establishing himself as a rising voice in intelligent bioprocess automation.