Autonomous mobile robots face challenges in maintaining consistent performance due to sensor degradation, calibration drift, and environmental factors. Diagnosing these issues often requires specialized expertise and manual inspection, leading to downtime and increased operational costs. Existing diagnostic methods lack real-time capabilities and comprehensive insights into the health of the robot's sensor suite.

Ember Robotics offers on-device diagnostic tools that provide real-time sensor validation and automated error detection for autonomous systems. The system integrates with a variety of sensors, including cameras, IMUs, radar, and LiDAR, to track common issues such as connectivity problems, frame rate drops, and time synchronization errors. By visualizing system health at a glance and isolating issues across hardware and software revisions, Ember Robotics enables operators to quickly identify and resolve problems in the field. This proactive approach maximizes robot uptime, reduces maintenance costs, and improves the reliability of autonomous operations.

Plug-and-play sensor validation for rapid deployment

Integration with diverse sensor types: IMU, camera, radar, LiDAR

Automated error detection and resolution for proactive maintenance

Real-time alerts and health summaries for immediate issue awareness

Visualization of system health to track performance metrics

Root-cause analysis tools to quickly isolate hardware or software faults

Error reproducibility for streamlined communication with third-party vendors

Image quality analysis for computer vision applications

Ember Robotics targets companies that develop, deploy, and operate autonomous mobile robots in industries such as drones, automotive, robotics, and aerospace.