Papers

3

Total Citations

58

H-Index

3

About

Daniel Hes is a robotics researcher whose work centers on the control, tracking, and energy efficiency of mobile robotic systems. His most influential contribution is the design of a motion controller for a Mecanum wheeled mobile manipulator (2017, 30 citations), which significantly advanced the field by enabling precise coordination between a six-degree-of-freedom robotic arm and an omnidirectional mobile platform. This work has become a foundational reference for researchers developing mobile manipulators for complex environments. Hes also made important strides in medical robotics through a comparative evaluation of SteamVR Tracking and the OptiTrack system for medical device tracking (2019, 22 citations), providing critical insights for image-guided surgery and surgical training. Additionally, his research on estimating energy consumption for omnidirectional automated guided vehicles along arbitrary trajectories (2015, 6 citations) introduced a practical energy model derived from experimental data, contributing to more efficient autonomous navigation. Together, Hes’s work bridges fundamental robotics control theory with real-world applications in manufacturing and healthcare, establishing him as a thoughtful contributor to mobile manipulation and medical tracking technologies.

Research Focus

Key Achievements

3
H-Index
3
Papers
58
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Motion controller design for a mecanum wheeled mobile manipulator
30 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Dortmund University of Applied Sciences and Arts

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago