
The robotics industry is advancing at a rapid pace—blending mechatronics, machine vision, and artificial intelligence to create autonomous, intelligent machines. Whether it’s an autonomous mobile robot (AMR), a collaborative robotic arm, or a vision-based inspection unit, all of them demand compact, powerful, and efficient embedded computing.
At Calixto Systems, we’ve developed production-ready SoMs based on Renesas RZ/G2L and RZ/V2L processors, built specifically for performance-hungry, real-time robotics applications at the edge.
Overview of Renesas RZ/G2L and RZ/V2L Processors
RZ/G2L – Multimedia and Edge Interface Workhorse
Dual ARM Cortex-A55 @ 1.2GHz + Cortex-M33
Integrated GPU (Arm Mali-G31) for UI and graphics
Rich connectivity: USB 3.0, Gigabit Ethernet, CAN, I2C, SPI
Targeted for HMI panels, robotics gateways, and general-purpose robotics controllers
RZ/V2L – Vision-Centric and AI-Ready
Dual Cortex-A55 @ 1.2GHz + Cortex-M33
Includes DRP-AI (Dedicated AI accelerator for edge inference)
Supports real-time object detection and recognition with ultra-low power
Ideal for vision-based robotics, edge AI cameras, and smart inspection units
Both processors offer industrial-grade temperature support, long-term availability, and are Linux-ready with a robust Renesas BSP.
Calixto’s SoM Architecture
Our RZ/G2L and RZ/V2L SoMs are designed for plug-and-play integration into robotic systems. Key features include:
Pre-validated CPU, DDR4 RAM, eMMC Flash, PMIC
Compact form factor optimized for space-limited designs
High-speed connectors to custom carrier boards
Extended temperature and vibration tolerance
Support for Yocto Linux with AI/vision libraries (for V2L)
We also offer reference carrier boards, custom board design support, and in-house small volume manufacturing to accelerate your product journey.
Use Cases in the Robotics Domain
Autonomous Mobile Robots (AMRs)
Calixto’s RZ/G2L SoMs can serve as the main control unit for AMRs—managing:
Sensor fusion (IMU, LiDAR, ultrasonic)
Wireless communication (Wi-Fi, BLE, 4G)
HMI displays for configuration and diagnostics
Motor and powertrain control via GPIO, UART, CAN
Vision-Based Robotic Arms and Inspection Systems
Using RZ/V2L’s built-in DRP-AI, developers can deploy lightweight inference models directly at the edge—enabling:
Real-time object recognition
Defect detection in manufacturing
Pick-and-place vision guidance
Human–robot collaboration with safety zones
Smart Grippers and End-Effectors
Miniature AI processing on RZ/V2L SoMs allows embedded intelligence inside robotic end-effectors:
Texture recognition
Pressure pattern mapping
Adaptive gripping based on object classification
Robotics HMI and Control Consoles
RZ/G2L with GPU support can drive intuitive touchscreen interfaces for:
Teaching pendants
Industrial robot configuration units
Monitoring dashboards for safety and diagnostics
AI Edge Nodes in Multi-Robot Systems
Use RZ/V2L SoMs to offload image recognition tasks from a central controller—allowing scalable, distributed processing for swarm robotics or collaborative robotic cells.
Why Choose Calixto’s SoMs for Robotics?
- Modular Platform: Easy integration and scalable performance across product variants
- Custom Carrier Design: Tailor your I/O and mechanical layout for your robot
- AI-Ready: DRP-AI acceleration enables ML workloads without external GPUs
- Efficient Edge Computing: Low power with high performance—ideal for mobile, battery-powered systems
- Design to Scale: In-house support for prototyping, customization, and low-volume production
- Long-Term Support: Industrial components with 10+ year lifecycle commitment
Developer-Friendly Features
Ready-to-use Linux BSP (Yocto) with camera, AI, and display support
DRP-AI model toolchain and sample projects from Renesas
Support for TensorFlow Lite, OpenCV, GStreamer, and CAN utilities
Secure boot and OTA support for maintainability
Conclusion
Robotics requires more than just compute—it demands efficient edge intelligence, industrial reliability, and system flexibility. Calixto’s RZ/G2L and RZ/V2L-based SoMs bring all of that into a compact, production-ready solution for robotic OEMs and innovators.
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