¹ olixSense™ X1 is designed and tested under controlled laboratory conditions. Actual performance may vary based on system integration, environmental conditions, and host computing configurations. Latency, throughput, and precision claims are based on tests conducted by Olive Robotics using preproduction hardware, standard calibration procedures, and benchmark datasets.

² olixAI™ sensor fusion runs locally on-device with embedded intelligence optimized by Olive Robotics. AI filtering, Extended Kalman Filtering (EKF), and redundancy layers are calibrated per sensor module. AI models are pre-trained, but performance may adapt and improve over time through firmware updates. Data accuracy depends on calibration frequency, mounting stability, and interference factors such as magnetic or RF noise.

³ olixOS™ is Olive Robotics’ real-time Linux kernel, optimized for robotics workloads. It provides deterministic scheduling, ROS 2-native communication, and a DDS backbone for multi-sensor synchronization. Some features may require the latest olixOS build and may not be available in all configurations. Compatibility with third-party middleware may require additional integration.

⁴ Firmware updates are distributed over Ethernet-USB and managed via the browser-based control panel. Updates may include new features, optimizations, or security enhancements. Availability of firmware features depends on the specific X1 hardware revision and production batch. Olive Robotics reserves the right to modify firmware functionality to ensure system integrity and long-term support.

⁵ Ethernet-over-USB provides up to 0.5 Gbps theoretical throughput. Actual transfer speeds depend on host system USB support, driver performance, and concurrent peripheral usage. High-rate configurations above 1000 Hz require stable power supply and certified USB 2.x host interfaces.

⁶ Multi-redundant sensing is achieved through dual accelerometer arrays, dual gyroscopes, and a magnetometer. Redundancy architecture ensures fallback data fusion if one sensor fails or drifts. Redundancy behavior and failover timing depend on system configuration and may vary.

⁷ AI-driven Extended Kalman Filtering is optimized for robotics, autonomous vehicles, and mobile platforms. Filtering performance is validated against standard robotics benchmarks and Olive Robotics’ proprietary datasets. Precision may vary across application domains such as marine robotics or aerial navigation.

⁸ Orientation accuracy claims of up to 16-DoF are tested in environments with minimal interference. Ferromagnetic structures, high-frequency radio fields, and strong accelerations may impact long-term stability. External GNSS/INS integration can further improve global accuracy.

⁹ Synchronization features are validated with sub-millisecond timestamps under optimal lab conditions. Network congestion, ROS 2 QoS profiles, and third-party middleware can affect timing. Olive Robotics recommends using DDS default profiles for deterministic behavior.

¹⁰ Browser-based GUI requires a modern standards-compliant browser. Interface latency may vary based on host device, rendering performance, and data throughput. Remote monitoring is supported only when the host network allows low-latency tunneling.

¹¹ Dimensions and weight are approximate. Final tolerances depend on production batch and assembly. Accessories, mounting frames, and cabling may affect system weight.

¹² olixSense™ X1 is part of the Olive Robotics modular hardware family. Compatibility across Olive Robotics’ sensor line-up is tested internally but may vary depending on firmware version, olixOS build, and ROS 2 distribution. Future product interoperability is subject to ongoing software support.

¹³ Olive Robotics conducts lifecycle testing on all hardware. However, components such as MEMS sensors, connectors, and PCB assemblies may degrade over time. Operating life depends on temperature cycles, humidity, shock loads, and vibration. Warranty does not cover misuse or non-standard integration.

¹⁴ Power consumption is measured under nominal load at 5V input. Higher sampling rates, redundant fusion, and AI-intensive filtering may increase average draw. For mission-critical deployments, Olive Robotics recommends redundant power supplies and surge protection.

¹⁵ Integration with external robotic platforms requires compliance with ROS 2 Foxy, Humble, Iron, or newer supported distributions. Not all features are available on older ROS 2 versions. Support for alternative frameworks (LCM, custom middlewares) may require third-party adaptation.

¹⁶ Olive Robotics continuously refines its embedded AI models. AI fusion models are trained on large-scale robotic datasets, but results may vary based on application domain. Updates may include new material classification, environment-specific compensation, or application-optimized sensor fusion algorithms.

¹⁷ Environmental conditions: X1 is designed for use in lab, industrial, and field robotics environments. Extreme temperature, dust, humidity, or water ingress may degrade performance. Device is not certified IP-rated for outdoor or underwater deployment without protective casing.

¹⁸ All Olive Robotics sensors, including X1, are manufactured in collaboration with trusted partners. PCB, PCBA, and CNC manufacturing are outsourced to industry-leading providers, ensuring quality and repeatability. Olive Robotics maintains final QA, calibration, and certification.

¹⁹ Specifications subject to change without notice. Features, firmware, and olixAI capabilities may evolve through iterative updates. Olive Robotics reserves the right to adjust sensor parameters and performance claims for continuous improvement.

²⁰ All brand names, product names, and trademarks mentioned herein are the property of their respective owners. ROS, DDS, and Linux are open-source projects maintained by their respective communities. Olive Robotics contributes to open-source development and aligns with community best practices.

(i) Olive Robotics GmbH provides this website, including all documentation, product information, images, and related content, for informational, commercial, and research-support purposes. While every effort is made to ensure accuracy and relevance, all content is subject to continuous refinement and improvement. Technical specifications, performance data, and integration examples reflect internal testing under controlled conditions, and results may vary in real-world deployments depending on host system design, network conditions, and integration quality.

(ii) Statements regarding Olive Robotics’ mission — to provide relevant, compelling solutions that customers can only get from Olive — and vision — to serve as the global backbone for interoperable robotics — are aspirational in nature. They are intended to communicate strategic direction and guiding principles, not legally binding commitments or contractual guarantees of outcome.

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(vii) Olive Robotics collaborates actively with research institutions, OEM partners, and industry bodies such as the Open Source Robotics Alliance (OSRA), UnternehmerTUM, and NVIDIA Inception. Such partnerships are designed to advance interoperability, accelerate innovation, and promote adoption of ROS-native systems. Participation in external programs or consortia does not imply co-ownership, joint liability, or shared governance beyond the scope of explicitly defined agreements.

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