Real-time localization and mapping
Combines LiDAR and IMU data, with optional GNSS, to estimate the robot’s position and map its environment in real time.
Real-time localization and mapping, purpose-made for robotics.
Combines LiDAR and IMU data, with optional GNSS, to estimate the robot’s position and map its environment in real time.
Latency, trajectory continuity, and fail-safe behaviors are designed to support continued robot operation and transitions to a safe state when needed.
Deliberate algorithmic choices address challenging geometry and featureless environments. This approach is inspired by research conducted by our authors in collaboration with ETH Zurich and ANYbotics AG, including X-ICP.
Exposes estimation health, the sensor modality currently leading estimation, processing latency, and other metrics to help teams understand system behavior.
Save and load maps for use across sessions, with optional geo-referencing to connect maps and trajectories to geographic coordinates.
Supports multiple forms of place recognition to identify previously visited locations.