OverviewThe C01 is a SLAM LiDAR designed for precise localization, mapping, measurement and obstacle avoidance. Its tighter laser spot and improved range consistency generate dense, low-noise point clouds at the hardware level, enabling sharper geometry capture and stable long-range mapping without algorithmic compensation.
Field Test Performance- Higher repeatability: smaller laser spot and improved range precision reduce measurement noise and preserve true surface variation.
- Sharper edges and corners: clean transitions with accurate corner geometry, no rounding or trailing points.
- Long-range mapping stability: lower positional and attitude error over extended routes, maintaining map consistency even without loop closure.
Minimal Blind ZoneOptically and mechanically optimized to minimize blind zones for improved near-field detection and safer obstacle avoidance in cluttered environments.
Applications- Autonomous forklifts
- Autonomous mobile robots (AMRs)
- Service robots
- Humanoid robots
- Quadruped robots
- Handheld scanners and spatial data collection platforms
Technical specifications- Purpose: SLAM LiDAR for localization, mapping, measurement and obstacle avoidance
- Point cloud: dense, low-noise point clouds produced at hardware level without algorithmic compensation
- Optics: tighter laser spot for improved detail and repeatability
- Measurement consistency: higher range precision to cut noise and preserve real surface variation
- Geometry fidelity: maintains sharp edges and true corner geometry (no rounding or trailing points)
- Mapping stability: lower positional and attitude error over extended routes; improved long-range mapping stability even without loop closure
- Blind zone: minimal blind zone design to enhance near-field sensing
- Compatibility: plug-and-play with mainstream open-source SLAM algorithms; built for AMRs and spatial data collection workflows
- Primary use cases: robotic perception, autonomous navigation, spatial surveying, industrial inspection, handheld scanning