Papers
8
Total Citations
61
H-Index
5
About
Christian Frese is a robotics researcher whose work centers on safe human-robot interaction, mobile manipulation, and autonomous robotic systems. His research addresses one of the field's most pressing challenges: enabling robots and humans to share workspaces safely and efficiently in industrial and real-world environments. Frese has made significant contributions to workspace monitoring, developing sophisticated methods for collision detection and obstacle tracking through multi-sensor fusion, ensuring that manipulators can reliably recognize and respond to human co-workers in dynamic environments. His 2020 paper on workspace monitoring for safe mobile manipulation has garnered 17 citations, reflecting its influence in the field, while his 2017 algorithm toolbox for autonomous mobile systems has accumulated 16 citations, underscoring its practical utility for the broader robotics community. Frese has also advanced path planning techniques that elegantly exploit kinematic redundancy in mobile manipulators, integrating collision avoidance and inverse kinematics into unified frameworks. His more recent work extends into agricultural robotics, applying multi-sensor fusion for weed discrimination, demonstrating a versatile research vision. Across his portfolio, Frese consistently bridges theoretical rigor with applied safety engineering, making him a valuable contributor to both collaborative robotics and intelligent automation research.
Research Focus
Key Achievements
Top Papers
- 1Workspace monitoring and planning for safe mobile manipulation17 citations · 2020
- 2Algorithm Toolbox for Autonomous Mobile Robotic Systems16 citations · 2017
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- 5Multi-sensor obstacle tracking for safe human-robot interaction6 citations · 2022
- 6Model Predictive Contact Control for Human-Robot Interaction3 citations · 2016
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- 8A cooperative HCI assembly station with dynamic projections2 citations · 2020