Papers

5

Total Citations

44

H-Index

4

About

Florenz Graf is a roboticist dedicated to bridging the gap between human and machine perception, with a core focus on developing autonomous service robots for real-world environments. His research centers on holistic scene understanding, safe human-robot interaction, and object manipulation, particularly for applications in elderly care and logistics. Graf’s most significant contribution is his human-inspired approach to robotic perception, transferring principles of human scene perception onto mobile robots to enable more intuitive and adaptable behavior. This work is exemplified in his highly cited paper, "Toward Holistic Scene Understanding," which has garnered 16 citations and lays the foundation for robots that can perceive their surroundings as humans do. He has also made practical strides in assistive robotics, demonstrating a safe service robot for refilling water bottles in elderly care homes (13 citations), showcasing his commitment to tangible, socially beneficial applications. Furthermore, Graf contributed the IPA-3D1K dataset (8 citations), a large-scale resource for retail robot picking, and developed the low-cost MobiKa robot (5 citations) to facilitate human-robot communication for aging populations. His latest model, HIPer (2024), continues to push the boundaries of multifunctional mobile robots, solidifying his reputation as a leader in human-inspired robotics.

Research Focus

Key Achievements

4
H-Index
5
Papers
44
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots
16 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fraunhofer Institute for Manufacturing Engineering and Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago