Ember Robotics develops on-device diagnostic tools for autonomous systems, focusing on real-time sensor validation and automated error detection across camera, IMU, and LiDAR systems. This technology enables operators to quickly identify hardware and software issues, maximizing robot uptime and reducing maintenance costs.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
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.
Solution
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.
Target Audience
Ember Robotics targets companies that develop, deploy, and operate autonomous mobile robots in industries such as drones, automotive, robotics, and aerospace.
Features
- 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