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Seeed Studio reComputer Robotics J5012 with GMSL Ultra-Advanced Edge AI Computer with NVIDIA Jetson AGX Orin 64GB
Seeed Studio reComputer Robotics J5012 with GMSL Ultra-Advanced Edge AI Computer with NVIDIA Jetson AGX Orin 64GB
Description
Seeed Studio reComputer Robotics J5012 with GMSL is an ultra-advanced robotics edge AI computer built around the NVIDIA Jetson AGX Orin 64GB module. This reComputer Robotics J5012 delivers up to 275 TOPS of AI performance and combines rich robotics I/O, wide voltage input, high-bandwidth networking, and multi-camera support into one deployment-ready platform for AMR, humanoid robotics, SLAM, and embodied AI development.
The core advantage of the reComputer Robotics J5012 is that it is not just a powerful Jetson box. It is built specifically for robotics workloads with 8 x GMSL2 camera support, 4 x CAN with CAN-FD, RS-232 / RS-422 / RS-485, 4 x 1G Ethernet + 1 x 10G Ethernet, 19V to 48V power input, and expansion for Wi-Fi / Bluetooth plus 4G / 5G. That makes it a strong “robot brain” platform for robotics perception, navigation, and multi-sensor fusion.
Features
- NVIDIA Jetson AGX Orin 64GB with up to 275 TOPS for advanced embodied AI and robotics workloads.
- 8 x GMSL2 camera support for high-density multi-camera robotics and vision AI systems.
- 4 x 1G Ethernet plus 1 x 10G Ethernet for high-bandwidth robotics networking and sensor backhaul.
- 4 x CAN with CAN-FD support for robotics control and vehicle-style communication.
- 2 x RS-232 / RS-422 / RS-485, 4 x DI / 4 x DO, SPI, I2C, and I2S for robotics integration.
- 19V to 48V DC input suitable for industrial robots and battery-powered mobile systems.
- 2 x M.2 Key M storage slots, M.2 Key E for Wi-Fi / Bluetooth, and M.2 Key B for 4G / 5G.
- Ready for robotics perception, BEV, SLAM, autonomous driving, and multi-sensor fusion workflows.
Specifications
| Parameter | Details |
|---|---|
| Brand | Seeed Studio |
| Model | reComputer Robotics J5012 with GMSL |
| Series | reComputer Robotics |
| Jetson Module | NVIDIA Jetson AGX Orin 64GB |
| AI Performance | 275 TOPS |
| Storage | 2 x M.2 Key M slots, 1 x 128GB SSD included |
| Wireless Expansion | 1 x M.2 Key E for Wi-Fi / Bluetooth |
| Cellular Expansion | 1 x M.2 Key B for 4G / 5G module |
| USB | 3 x USB 3.0 Type-A, 1 x USB 3.0 Type-C Recovery, 1 x USB 2.0 Type-C Debug |
| Ethernet | 4 x 1G Ethernet, 1 x 10G Ethernet |
| GMSL | 8 x GMSL2 via MAX96712 deserializer |
| CAN | 4 x CAN, CAN-FD supported |
| Serial | 2 x RS-232 / RS-422 / RS-485 |
| DI / DO | 4 x DI, 4 x DO |
| Other I/O | 1 x SPI, 1 x I2C, 1 x I2S |
| Display | 1 x HDMI 2.1 |
| Cooling | 1 x 4-pin fan connector, 12V PWM |
| Buttons | Reset and Recovery buttons |
| RTC | 1 x RTC 2-pin, 1 x RTC socket |
| Power Input | 19V to 48V DC terminal block, 2-pin |
| Dimensions | 210mm × 180mm × 87mm, with stands |
| Weight | 2.95kg |
| Installation | Desktop and wall mounting |
| Operating Temperature | -10°C to 60°C |
| Warranty | 2 Years |
Applications
- Humanoid robot control and perception systems that need a high-performance AI compute core.
- Autonomous mobile robots with multi-camera perception, sensor fusion, and navigation pipelines.
- SLAM and robotics mapping workflows using GMSL camera arrays and accelerated edge compute.
- BEV, occupancy grid, and multi-view perception in advanced robotics and autonomous systems.
- Embodied AI and robotics research that relies on high I/O density, wide voltage input, and strong Jetson performance.
- Vision AI systems that need many cameras, high networking throughput, and robotics-grade interfaces.
Product List
| Item | Quantity |
|---|---|
| reComputer Robotics J501 | x1 |
| NVIDIA AGX Orin 64GB Module | x1 |
| 128GB NVMe SSD | x1 |
| Terminal block to DC power cable | x1 |
| USB Type-C to Type-A cable | x1 |
| Panel mount brackets | x2 |
| DIN rail mount | x1 |
Other Content
The most important distinction of the reComputer Robotics J5012 is that it is built as a robotics-first computing platform rather than a generic AI box. Its camera density, CAN support, high-speed networking, and flexible power input make it a much better fit for real robotics platforms than standard Jetson development setups.
The Seeed Studio reComputer Robotics J5012 is also especially attractive when you need a single system that can bridge perception, control, and connectivity. That means fewer compromises when building robots that combine multi-camera vision, CAN devices, serial peripherals, and high-bandwidth edge AI in one enclosure.
Resources
- reComputer Robotics J501 Getting Started
- JetPack Flash Guide
- A-LOAM on Jetson
- Deploy NVBlox on Jetson AGX Orin
- NVIDIA Isaac
- reComputer Robotics J501 Datasheet
- Main Board PDF
- 3D File STEP
- Seeed NVIDIA Jetson Product Catalog
- NVIDIA Jetson Module and Carrier Board Comparison
- Seeed NVIDIA Jetson Success Stories
- Seeed Jetson One Pager
FAQ
What is the difference between reComputer Robotics J5012 and reComputer Robotics J5011?
The J5012 uses Jetson AGX Orin 64GB and delivers higher headroom for advanced robotics AI, while reComputer Robotics J5011 uses the 32GB variant and is better suited when you want the same robotics direction at a lower cost.
What is the difference between reComputer Robotics J5012 and reComputer Mini J501 carrier board?
Choose reComputer Mini J501 carrier board when you want a carrier board path for your own AGX Orin integration, and choose the reComputer Robotics J5012 when you want a complete robotics-ready system with enclosure, GMSL, storage, and robotics I/O already integrated.
Why choose this model over a standard Jetson AGX Orin developer kit?
The reComputer Robotics J5012 gives you a more robotics-focused platform with 8 x GMSL2, 4 x CAN-FD, multiple Ethernet ports, wide voltage input, and richer field interfaces than a standard developer kit.
Does this model support SLAM and robotics navigation workloads?
Yes. This platform is a strong fit for SLAM, BEV, occupancy grid, NVBlox, and other robotics navigation or perception workloads that benefit from multi-camera input and strong Jetson acceleration.
How many GMSL cameras does it support?
It supports up to 8 x GMSL2 cameras, which is one of the key reasons this model is attractive for robotics perception systems.
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