Max Robotics — Global Service Robot Directory + US Certification

About

Jörg Stückler is a robotics researcher whose work spans mobile robot perception, state estimation, and autonomous navigation, with particular emphasis on bridging the gap between real-time computational efficiency and robust environmental understanding. His early contributions focused on practical manipulation and navigation challenges: he developed fast 3D object perception methods for robotic grasping and pioneered surfel grid map representations for reliable mobile robot localization, work that has collectively garnered tens of citations and influenced the field of service robotics. A significant thread throughout his research is visual-inertial odometry (VIO), where he has advanced the integration of kinematic and dynamics models—including single-track vehicle models and legged robot locomotion—with sensor fusion pipelines to achieve accurate, real-world state estimation. More recently, Stückler has extended his scope to include learning-based approaches, tackling relational object matching across views, terrain-aware navigation dynamics, and visuo-tactile pose estimation for dexterous manipulation. His physics-based object tracking work further demonstrates a commitment to enabling robots to understand and simulate real-world interactions. Across more than a decade of contributions, Stückler's research reflects a coherent vision: building intelligent robotic systems capable of perceiving, reasoning about, and acting effectively in complex, unstructured environments.