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
Top Papers
- 1Motion controller design for a mecanum wheeled mobile manipulator30 citations · 2017
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