Papers
9
Total Citations
185
H-Index
6
About
Christian Henkel is a robotics researcher whose work centers on autonomous mobile robot navigation, energy-efficient motion planning, and multi-robot coordination in industrial environments. He is perhaps best known for his influential extensions of the Dynamic Window Approach (DWA), incorporating energy consumption models to optimize the navigation of omnidirectional and Mecanum-wheeled robots — work that has collectively accumulated nearly 100 citations and addressed a critical practical challenge in deploying battery-powered service robots. His 2016 paper on energy-efficient local path planning, his most cited work with 55 citations, laid the groundwork for a productive research thread that continued into power-minimization strategies for Mecanum robots in 2018. Beyond single-robot navigation, Henkel has contributed to cooperative multi-robot systems, exploring cloud-based architectures for distributed mapping and localization, and applying Ant Colony Optimization to combined task allocation and path-finding problems. His research also reflects a commitment to inclusive human-robot collaboration, examining how intelligent systems can support workers with disabilities in Industry 4.0 contexts. More recently, Henkel has turned toward formal verification methods for autonomous robots, signaling a maturing focus on robustness and reliability. His body of work spans both theoretical contributions and practical industrial applications, making him a versatile voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 8Towards a Verifiable Toolchain for Robotics4 citations · 2024
- 9Towards Robust Autonomous Robots Using Statistical Model Checking2 citations · 2024