Malte Kleine Piening

German Research Centre for Artificial Intelligence, Osnabrück University

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About

Malte Kleine Piening is a leading researcher in mobile robotics and 3D environment perception, with a core focus on enabling efficient, real-time navigation in complex outdoor terrains. His most significant contribution is a highly efficient algorithm for computing continuous shortest path vector fields on arbitrarily shaped 3D triangular meshes. This work, which has garnered 28 citations, allows robots to query shortest distances, directions, and geodesic paths with unprecedented continuity, directly addressing the challenges of navigating real-world, uneven landscapes. Beyond navigation, Piening has tackled critical data transmission bottlenecks in rescue and service robotics. His work on compressing ROS sensor and geometry messages using the Draco library (9 citations) directly addresses the bandwidth limitations between operators and robots, enabling the transmission of highly detailed 3D models captured by modern laser scanners and RGB-D cameras. By solving both the computational challenge of path planning on complex meshes and the practical problem of data compression, Piening’s research is paving the way for more autonomous and capable robots operating in unstructured, real-world environments.