Profile
Olive Robotics (olive-robotics.com) is a German robotics hardware company specializing in embedded Physical AI sensors and ROS-native modules. Founded as a spin-off from the Technical University of Munich, the company develops high-performance, intelligent sensor and actuator solutions that integrate advanced AI directly at the edge. Olive focuses on making robotics development faster, more reliable, and truly interoperable by embedding ROS 2, real-time DDS, and AI sensor fusion into compact, industrial-grade hardware. Their products are designed for mobile robots, AMRs, autonomous vehicles, industrial automation, outdoor robotics, and research applications.
Olive’s core innovation is the olive™ platform — a modular ecosystem where every device functions as a native ROS 2 node from the moment it powers on. This eliminates the need for custom drivers or wrappers and delivers sub-millisecond latency with deterministic performance.
Key Robot-Based Products:
- olixSense™ Series — High-performance IMU/AHRS sensors (X1, X1 Pro, X1 Ultra) with single, dual, triple, or penta-redundant MEMS sensors. They feature embedded AI for real-time sensor fusion, drift compensation, anomaly detection, and confidence scoring. Models support Ethernet over USB-C or Gigabit PoE+.
- olixEdge™ Technology — Combines embedded AI, real-time Linux kernel (olixOS™), and ROS 2/DDS for ultra-low latency and high-frequency data output (up to 1000 Hz).
- Modular Actuator and Connectivity Modules — Expandable hardware that supports seamless scaling from single sensors to complex robotic fleets.
Olive products are known for microsecond-level synchronization (IEEE 1588 PTP), industrial robustness, and plug-and-play ROS integration. They have won multiple awards, including the RBR50 Robotics Innovation Award and the euRobotics Technology Transfer Award. The company is a member of the Open Source Robotics Alliance (OSRA) and is backed by the NVIDIA Inception Program.
Olive Robotics accelerates development from prototype to production by providing intelligence inside every sensor, reducing integration time, and enabling more capable, reliable autonomous systems.
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