Ingo Weidauer
Papers
3
Total Citations
58
H-Index
3
About
Ingo Weidauer is a robotics researcher whose work focuses on the core challenges of autonomous manipulation and human-robot interaction. His key contributions lie in three interconnected areas: robust object grasping, high-performance teleoperation, and hierarchical robot control architectures. In his most cited work, "Combining visual and inertial features for efficient grasping and bin-picking" (28 citations), Weidauer tackled the classic industrial problem of bin picking by fusing visual and inertial data, enabling robots to reliably determine an object’s pose for precise placement. This practical approach directly addresses a bottleneck in automated manufacturing. Earlier, he pushed the boundaries of bilateral teleoperation with "1kHz is not enough — How to achieve higher update rates with a commercial hardware system" (19 citations), demonstrating how to overcome the low update-rate limitations of off-the-shelf components to achieve more responsive and stable remote control. Further advancing the field, his work on "A hierarchical extension of manipulation primitives" (11 citations) introduced a layered framework that makes complex task specification more intuitive and robust for industrial robots. Through these contributions, Weidauer has helped bridge the gap between theoretical robotics and real-world, high-speed industrial applications.
Research Focus
Key Achievements
Top Papers
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