Max Robotics — Global Service Robot Directory + US Certification

About

Marius Grimm is a leading researcher in aerial robotics, with a focus on autonomous navigation, landing systems, and dense mapping for micro aerial vehicles (MAVs). His work bridges perception, control, and bioinspired design to enable robust, real-world flight operations. His most-cited paper (114 citations) introduces an efficient octree-based volumetric SLAM framework that unifies signed-distance and occupancy mapping, advancing dense 3D reconstruction for autonomous robots. Grimm also made significant contributions to safe landing, including a bioinspired landing system with soft shock absorbers (38 citations) that improves adaptability to varied surfaces. A standout achievement is his work on fully autonomous MAV flight and landing on moving targets using visual-inertial estimation and model-predictive control (33 citations), demonstrated during the 2017 Mohamed Bin Zayed International Robotics Challenge (MBZIRC). As a key member of the ETH-MAV Team, he helped develop robust outdoor platforms that achieved fully autonomous operation in complex, dynamic environments. With over 190 total citations, Grimm’s research continues to push the boundaries of what autonomous aerial robots can accomplish in unstructured, real-world settings.