Jochen Lindermayr
Fraunhofer Institute for Manufacturing Engineering and Automation
Papers
8
Total Citations
79
H-Index
4
About
Jochen Lindermayr is a robotics researcher whose work is driving the frontier of autonomous mobile manipulation, with a particular focus on bringing robots into dynamic, human-centered environments like warehouses, retail stores, and elderly care homes. His research centers on three interconnected challenges: holistic scene perception, safe human-robot interaction, and robust object manipulation. Lindermayr’s most cited work, "Towards Automated Order Picking Robots for Warehouses and Retail" (32 citations), lays the foundation for this vision. He has made significant contributions by transferring principles of human scene perception to robotic systems, as detailed in his 2022 paper "Toward Holistic Scene Understanding," which has earned 16 citations. A standout practical achievement is his work on a safe service robot capable of refilling water bottles in elderly care homes, demonstrating real-world impact with 13 citations. Lindermayr also addresses the critical data bottleneck in robotics by introducing the IPA-3D1K dataset (8 citations), a large-scale 3D model repository for retail robot picking. His recent "HIPer" model (2024) further bridges the gap between human and robotic scene understanding, promising more versatile and autonomous service robots for the future.
Research Focus
Key Achievements
Top Papers
- 1Towards Automated Order Picking Robots for Warehouses and Retail32 citations · 2019
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- 4IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking8 citations · 2023
- 5Real-time Instance Detection with Fast Incremental Learning4 citations · 2021
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