Malte Splietker
Papers
4
Total Citations
16
H-Index
3
About
Malte Splietker is a robotics researcher whose work spans autonomous aerial and ground vehicles, 3D reconstruction, and multi-sensor perception. He is best known for his contributions to the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020, where he developed tailored UAVs for target chase, wall building, and fire fighting, as well as a UGV solution for autonomous construction and disaster response. These systems, integrating custom hardware and software, demonstrate his expertise in deploying complete robotic systems in complex, real-world scenarios. In perception, Splietker introduced the Directional TSDF, a novel extension of the truncated signed distance function that models surface orientation for coherent mesh generation, and later extended this work with a rendering approach for tracking and multi-sensor registration using point-to-plane ICP. His research has been cited over 16 times, with his MBZIRC contributions highlighting his ability to tackle grand challenges in field robotics. Splietker’s work is particularly relevant for students and researchers interested in autonomous navigation, 3D mapping, and the integration of perception and control in high-stakes environments.
Research Focus
Key Achievements
Top Papers
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- 4Directional TSDF: Modeling Surface Orientation for Coherent Meshes3 citations · 2019