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About

Ulrik Pagh Schultz is a robotics researcher whose work spans two interconnected domains: self-reconfigurable modular robots and robust robotic assembly automation. His contributions have fundamentally advanced how robots adapt, recover from errors, and operate safely in dynamic environments. In the field of modular robotics, Schultz has made lasting contributions through distributed locomotion strategies that function independently of robot morphology, earning 55 citations for his 2013 work on adaptive locomotion. His unified simulation platform for self-reconfigurable robots (2008, 44 citations) provided the community with a long-needed standardized development tool, while his research into robust and reversible self-reconfiguration sequences established principled methods for reliable shape-changing behavior. Schultz has also pioneered the concept of reversible execution in robotic assembly, developing both practical error-recovery mechanisms (2015, 50 citations) and formal models for reversible assembly programming (2018, 44 citations). This body of work directly addresses the economic and practical challenges of flexible industrial automation. Rounding out his portfolio, his rule-based dynamic safety monitoring framework offers a clearly isolated safety layer for mobile robots operating in unpredictable environments. Across more than a decade of research, Schultz has consistently bridged theoretical innovation with practical robotic system design.