Christoph Steup
University Hospital Magdeburg, Otto-von-Guericke University Magdeburg
Papers
9
Total Citations
66
H-Index
5
About
Christoph Steup’s research lies at the intersection of swarm robotics, autonomous systems, and energy-aware mission planning. His major contributions focus on developing novel algorithms that enable micro-scale aerial robots and mobile manipulators to operate efficiently under severe energy and computational constraints. Steup pioneered the Energy Aware Particle Swarm Optimization (EAPSO) model, which extends classic PSO by integrating individual energy levels into the search process, allowing aerial micro-robots to sustain longer missions. His work on generic component-based energy models for UAVs provides a foundation for adaptive mission planning, while his multi-objective collective search metrics advance the theoretical understanding of swarm performance. Steup’s influence is evidenced by over 60 citations across his most-cited papers, with his 2016 EAPSO paper alone garnering 15 citations. He also contributed to the Carolo-Cup competition, an international student contest for autonomous miniature cars, and developed practical localization systems for resource-constrained robots. Notably, his recent work on free-form coverage path planning and genetic programming-based inverse kinematics demonstrates his continued drive to solve real-world robotic challenges. Steup’s research is essential reading for anyone interested in energy-efficient swarm intelligence and autonomous systems in Industry 4.0 contexts.
Research Focus
Key Achievements
Top Papers
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- 6Simultaneous Localisation and Optimisation for Swarm Robotics4 citations · 2018
- 7Design and implementation of a small size robot localization system3 citations · 2011
- 8Encodings for Multi-objective Free-Form Coverage Path Planning2 citations · 2025
- 9Genetic Programming-Based Inverse Kinematics for Robotic Manipulators2 citations · 2022