Max Robotics — Global Service Robot Directory + US Certification

About

Andrei Cramariuc is a robotics researcher whose work spans autonomous navigation, simultaneous localization and mapping (SLAM), and legged robot manipulation. He is perhaps best known for his contributions to **SegMap**, a pioneering 3D segment-based map representation that leverages data-driven descriptors to achieve robust localization even under challenging environmental conditions such as illumination changes — a body of work that has accumulated over 230 citations across its publications. His development of **maplab 2.0**, a modular multi-modal mapping framework (57 citations), further demonstrates his commitment to building scalable, sensor-agnostic SLAM systems suitable for real-world deployment. Beyond mapping, Cramariuc has made notable strides in mobile manipulation and dynamic environments, contributing to projects like *Go Fetch* for unstructured environment navigation and dynamic object-aware LiDAR SLAM systems. His more recent work pushes into the frontier of legged manipulators, tackling sophisticated challenges such as whole-body end-effector control, badminton-playing robots, and obstacle-avoidant leader-following quadrupeds. Complementing these efforts, his research on deep reinforcement learning for sensor calibration reflects a broad, systems-level perspective on robotics. Cramariuc's portfolio marks him as a versatile contributor bridging perception, mapping, and embodied intelligence.