Slamtec
SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2
SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2
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| Project | Developer Edition | Professional Edition |
|---|---|---|
| Mapping Area | 150m×150m | 500m×500m |
| Usage Time | 1.5-hour looped use | Unlimited time |
| Upgrade Service | No upgrade service | Continuous functionality iteration |
| Support Service | None (but will answer online questions and compile FAQs) | Full lifecycle |
Specification
For more information, refer to the datasheet.
| Max mapping area | 500000m2 ~ 1200000m2 |
| Map resolution | 1cm, 2.5cm, 5cm (Optional) |
| Real-time localization deviation (typ) | ± 5mm,± 1° |
| localization stability | Our robot can function well even with a 50% change in map |
| Maximum distance range | 50m (typical value, specific depending on radar selection) |
| Sample frequency | 10 ~ 20Hz |
| Localization output frequency | 20 ~ 100Hz |
| Description | Description Details |
|---|---|
| Supported processor chip types | Intel x86 x64 series chips, ARMV7/V8 series chips |
| Supported operating systems | Ubuntu 18.04, 20.04 |
| Hardware interface requirements | 1 × USB2.0 for authorization box, 1 × Ethernet port, 1 × serial port or 1 × USB for LiDAR + 1 × power interface (specific details in radar datasheet), Note: Ethernet port at 100 Mbps is sufficient; USB port not recommended due to potential signal interference |
| CPU usage | RK3399: up to 2 × A72 + 2 × A53, Intel Celeron J3455: up to 2.5 cores (actual assessment results prevail) |
| Memory usage | Mapping mode: 5cm resolution avg. 2GB, Localization mode: 5cm resolution, 250,000 sqm map max. 2.5GB (increases with mapping area and resolution) |
| Disk space usage | 15GB total (5GB for logs, 10GB for core dumps) |
| Software interfaces | Subscribe to ROS TOPIC /odom (optional, provided by user), Note: ROS TOPIC must be in standard nav_msgs/Odometry format with publishing frequency >50Hz (100Hz recommended) |
✅ Traceable Supply Chain — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)
This product is supplied through a traceable supply chain. We provide local technical support, pre-installed SDK / mirror images, and OEM / ODM customization, plus fast global shipping.
Why Buy From Ai-Paipai?
- Genuine & Traceable — sourced through a verifiable supply chain.
- Local Engineering Support — datasheets, SDKs, and pre-flashed images in English and Chinese.
- OEM / ODM & FPGA Customization — tailor specs, enclosures, and BSP for your project.
- One-Stop Sourcing — Firefly + youyeetoo + our own FPGA / edge lineup in one store.
Frequently asked questions
What is SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2 used for?
SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2 is a Embedded Computing from Slamtec. It is typically used in embedded computing, edge AI inference, industrial control and rapid prototyping, and can be integrated into custom carrier boards or finished devices.
Does SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2 include technical support, datasheets or pre-flashed images?
Yes. Ai-Paipai supplies this item through a traceable supply chain and provides local engineering support, datasheets, SDKs and pre-flashed system images where applicable, plus OEM / ODM customization for volume projects.
Can I order SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2 with OEM / ODM options or CE / FCC / RoHS certification?
OEM / ODM customization (specs, enclosure, BSP) is available, and CE / FCC / RoHS certified options can be provided on request for EU and US imports. Contact us for a quote.
How is SLAMKit - Reliable Mapping and Localization Solution - RPLidar A1M8 C1 S2 shipped, and what is the lead time?
Orders ship worldwide from Shenzhen. Stock items typically dispatch within a few business days; configurable or made-to-order variants take longer. Exact lead time is shown at checkout or on request.
Specifications
| Project | Developer Edition / Professional Edition |
| Mapping Area | 150m×150m / 500m×500m |
| Usage Time | 1.5-hour looped use / Unlimited time |
| Upgrade Service | No upgrade service / Continuous functionality iteration |
| Support Service | None (but will answer online questions and compile FAQs) / Full lifecycle |
| Max mapping area | 500000m 2 ~ 1200000m 2 |
| Map resolution | 1cm, 2.5cm, 5cm (Optional) |
| Real-time localization deviation (typ) | ± 5mm,± 1° |
| localization stability | Our robot can function well even with a 50% change in map |
| Maximum distance range | 50m (typical value, specific depending on radar selection) |
| Sample frequency | 10 ~ 20Hz |
| Localization output frequency | 20 ~ 100Hz |
| Supported processor chip types | Intel x86 x64 series chips, ARMV7/V8 series chips |
| Supported operating systems | Ubuntu 18.04, 20.04 |
| Hardware interface requirements | 1 × USB2.0 for authorization box, 1 × Ethernet port, 1 × serial port or 1 × USB for LiDAR + 1 × power interface (specific details in radar datasheet), Note: Ethernet port at 100 Mbps is sufficient; USB port not recommended due to potential signal interference |
| CPU usage | RK3399: up to 2 × A72 + 2 × A53, Intel Celeron J3455: up to 2.5 cores (actual assessment results prevail) |
| Memory usage | Mapping mode: 5cm resolution avg. 2GB, Localization mode: 5cm resolution, 250,000 sqm map max. 2.5GB (increases with mapping area and resolution) |
| Disk space usage | 15GB total (5GB for logs, 10GB for core dumps) |
| Software interfaces | Subscribe to ROS TOPIC /odom (optional, provided by user), Note: ROS TOPIC must be in standard nav_msgs/Odometry format with publishing frequency >50Hz (100Hz recommended) |