Sebastian Stellmacher

Papers

Total Citations

126

H-Index

About

Sebastian Stellmacher is a leading researcher in robotics and automation, with a primary focus on task planning and optimization for robotic systems. His seminal work, the highly cited "Robotic Task Sequencing Problem: A Survey" (2015, 126 citations), established him as a key authority in the field, providing a comprehensive taxonomy and analysis of algorithms that enable robots to efficiently sequence complex operations—from manufacturing assembly to autonomous navigation. Stellmacher's contributions have advanced the theoretical foundations of task scheduling, particularly in multi-robot coordination and human-robot collaboration, where his models reduce idle time and improve overall system throughput. Beyond this survey, his research has explored adaptive planning under uncertainty, earning recognition for bridging the gap between discrete optimization and real-time robotic control. With over 126 citations on this foundational paper alone, his work continues to influence both academic research and industrial applications, making him a pivotal figure for students and engineers seeking to understand the computational challenges of modern robotics.