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Posted on by Jean-Luc Aufranc (CNXSoft) - 11 Comments on Orange Pi 6 CIX CD8180 12-core Arm SBC gets 2.5GbE networking, smaller form factor, drops battery support

Orange Pi 6 CIX CD8180 12-core Arm SBC gets 2.5GbE networking, smaller form factor, drops battery support

Orange Pi 6

Orange Pi 6 is a compact single board computer (SBC) powered by CIX P1 (CD8180) 12-core Arm Cortex-A720/A520 SoC coupled with up to 32 GB 128-bit LPDDR5 memory. It shares many of the features of the Orange Pi 6 Plus board introduced last October, but comes in a smaller and lighter form factor (90 x 90mm vs 115 x 100mm), features two 2.5GbE ports instead of two 5GbE jacks, drops support for LiPo batteries, and is offered with lower RAM capacity options (8GB-32GB vs 16GB-64GB). Orange Pi 6 specifications: SoC – Cix P1 (Codename: CD8180) 12-core DynamIQ processor 4x Cortex‑A720 big cores @ up to 2.6 GHz 4x Cortex‑A720 medium cores @ up to 2.4 GHz 4x Cortex‑A520 LITTLE cores @ up to  1.8 GHz Cache – 12MB shared L3 cache GPU – Arm Immortalis G720 MC10 with hardware ray-tracing support, graphics APIs: Vulkan 1.3, OpenGL ES 3.2, OpenCL 3.0 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Renesas RZ/V2H Robotics Development Kit handles AI vision, motor control, and power management with a single board

Renesas RZ/V2H Robotics Development Kit handles AI vision, motor control, and power management with a single board

Renesas RZ/V2H Robotic Development Kit

Renesas WS125-V2HRDKREFZ is a Robotics Development Kit (RDK) powered by Renesas RZ/V2H Arm Cortex-A55/R8/M33 microprocessor and designed for high‑performance AI vision applications leveraging the MPU’s built-in 80 TOPS (sparse) AI accelerator. The kit ships with 16GB LPDDR4, 64MB QSPI flash, a 64GB microSD card, and appears to be partially inspired by the Raspberry Pi 5 with a 40-pin Raspberry Pi GPIO header, a 16-pin PCIe Gen3 FFC connector, two MIPI CSI connectors, and a micro HDMI port. Other features include a Gigabit Ethernet port, two USB 3.2 ports, two CAN-FD interfaces, and a 12-24V DC input voltage range. Renesas WS125-V2HRDKREFZ specifications: SoC – Renesas RZ/V2H CPU/MCU cores 4x Arm Cortex-A55 cores up to 1.8 GHz 2x Cortex-R8 real-time cores up to 800 MHz Arm Cortex-M33 microcontroller core up to 200 MHz for system management GPU – Arm Mali-G31 GPU NPU – DRP-AI3 dynamically reconfigurable processor delivering up to 8 TOPS (INT8) or […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on UGV Beast – An off-road tracked AI robot built for Raspberry Pi 4/5

UGV Beast – An off-road tracked AI robot built for Raspberry Pi 4/5

Waveshare UGV Beast

Waveshare UGV Beast is an off-road robot with tracked wheels designed for Raspberry Pi 4 or 5 SBC handling AI vision and strategy planning, while an ESP32 sub-controller takes care of motion control and sensor data processing. If the design feels familiar, it’s because it’s a variant of the UGV Rover unmanned ground vehicle we covered in 2024, which replaces the six wheels of the original model with two continuous tracks, as found in military tanks, for better driving in difficult terrain. Waveshare UGV Beast specifications: Supported SBCs – Raspberry Pi 4B or Raspberry Pi 5 Multi-function driver board/sub-controller Main SoC – ESP32 wireless microcontroller with WiFi, Bluetooth, ESPNOW connectivity Motor drivers – 2x TB6612FNG chips Peripheral interfaces 4x motor control connectors 2x servo connectors Lidar USB (4-pin) and UART (USB-C) connectors 2x 4-pin I2C connectors Sensor – 9-axis attitude sensor (ICM20948) for image stabilization Misc – EN and user […]

Posted on by Debashis Das - No Comments on reBot Arm B601-DM – An open-source 6+1 DoF robotic arm for embodied AI and teleoperation applications

reBot Arm B601-DM – An open-source 6+1 DoF robotic arm for embodied AI and teleoperation applications

reBot Arm B601 DM Bundle

Seeed Studio reBot Arm B601-DM is a fully open-source 6-axis robotic arm (plus a parallel gripper) designed to lower the barrier to entry for embodied AI learning and teleoperation. Built around high-performance Damiao actuators, the arm offers up to 767mm of reach, a 1.5kg payload capacity, and high-precision 0.2mm repeatability. Designed for researchers and robotics developers, the B601-DM is compatible out of the box with major AI and robotics frameworks, including ROS 1/2, Hugging Face’s LeRobot, NVIDIA Isaac Sim, and Pinocchio. Seeed Studio reBot Arm B601-DM specifications: Communication – CAN bus @ 1Mbps) and UART @ 921600bps Degrees of Freedom (DOF) – 6-axis arm + 1 parallel gripper Motors / Actuators – 7x Damiao motors 4x DAMIAO 4310 (DM-J4310-2EC) 3x DAMIAO 4340P (DM-J4340P-2EC) high-torque motors Payload – 1.5kg (without gripper, at recommended 70% reach) Reach – 767mm (with gripper), 607mm (without gripper) Repeatability – < 0.2 mm Joint torque and […]

Posted on by Debashis Das - 2 Comments on LooperRobotics Insight 9 standalone spatial AI camera features D-Robotics RDK X5 SoC, supports ROS 2 (Crowdfunding)

LooperRobotics Insight 9 standalone spatial AI camera features D-Robotics RDK X5 SoC, supports ROS 2 (Crowdfunding)

LooperRobotics Insight 9

LooperRobotics Insight 9 is an autonomous plug-and-play spatial AI camera designed for embodied intelligence, quadruped robots, and dynamic mobile platforms. Compared to typical USB depth cameras like Intel RealSense D435i or Luxonis OAK-D, which rely on a host PC for processing, the Insight 9 integrates a D-Robotics RDK X5 octa-core Cortex-A55 processor with a 10 TOPS AI accelerator, allowing it to run Visual SLAM (V-SLAM) and depth mapping entirely on-device. The camera features a “Tri-Eye Perception Matrix,” which includes an 8.4MP Sony Starvis IMX415 RGB sensor with an ultra-wide 188° field of view, and two SmartSens SG0132 global shutter sensors for stereoscopic depth. Encased in a passively cooled CNC aluminum chassis, it is also equipped with an automotive-grade Bosch BMI088 IMU capable of 24g high-G tracking, making it suitable for the heavy vibrations of legged locomotion. LooperRobotics Insight 9 specifications: SoC – D-Robotics RDK X5 octa-core Arm Cortex-A55 processor @ 1.5 GHz; […]

Posted on by Debashis Das - 8 Comments on MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

MediaTek unveils 50 TOPS Genio Pro 5100 Cortex-X925/X4/A720 SoC, 7.2 TOPS Genio 420 Cortex-A78/A55 SoC for AIoT applications

MediaTek Genio Pro 5100 and Genio 420 IoT SoCs

After launching the Genio 360/360P hexa/octa-core SoCs last month, MediaTek has now expanded the lineup with the Genio Pro 5100 and Genio 420 AIoT SoCs at Embedded World 2026. The Genio Pro 5100 is a 3nm SoC with an “all big-core” architecture and a 50+ TOPS NPU for Edge AI applications. The Genio 420, on the other hand, is a cost-efficient 6nm platform designed for smart home, retail, and industrial IoT devices. MediaTek Genio Pro 5100 The Genio Pro 5100 integrates one Cortex-X925, three Cortex-X4, and four Cortex-A720 cores, as well as an Arm Immortalis-G925 GPU, and supports LPDDR5X memory up to 8533 Mbps. It can handle up to three 4K displays, up to 16 cameras via virtual channels, and 8K30 video encode/decode, and offers interfaces such as PCIe Gen4, USB 3.2 Gen2, USB 2.0, and dual 2.5GbE MAC. Genio Pro 5100 (MT8894) specifications:  CPU – 8-core Arm v9.2 processor […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on FOSDEM 2026 schedule – Embedded, RISC-V, Robotics, Rust, Open Hardware, and more

FOSDEM 2026 schedule – Embedded, RISC-V, Robotics, Rust, Open Hardware, and more

FOSDEM 2026 schedule

FOSDEM 2026 will take place on January 31-February 1, with thousands of developers meeting in Brussels to discuss open-source software & hardware projects. The free-to-attend “Free and Open Source Software Developers’ European Meeting” gets more traction every year, and in 2026, there will be at least 1,113 speakers, 1,016 events, 70 tracks, and potentially close to 10,000 attendees. As usual, I’ll create a virtual schedule with sessions most relevant to the topics covered on CNX Software from the “Embedded, Mobile and Automotive” and “Open Hardware and CAD/CAM” devrooms, but also other devrooms, including “RISC-V”, “Robotics and simulation”, and “FOSS on Mobile”, among others. I’m aware some of the talks overlap by a couple of minutes or so… FOSDEM 2026 Day 1 – Saturday, January 31 10:40 – 11:15 – RISC-V Vector optimisations in FFmpeg by Rémi Denis-Courmont FFmpeg is the most versatile multimedia codec and format support library, and was […]

Posted on by Debashis Das - No Comments on Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

Firefly EC-AGXOrin – Jetson AGX Orin 64GB AI inference system supports up to 8 GMSL2 cameras

EC AGXOrin NVIDIA Jetson 275 TOPS Edge AI Computer

Firefly EC-AGXOrin is an NVIDIA Jetson AGX Orin 64GB-powered AI inference system, similar to the AAEON BOXER-8645AI and Vecow RAC-1000 rugged Edge AI systems, and designed for edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The device features eight GMSL2 connectors (input via two 4-pin Mini FAKRA interfaces) and supports up to 22-channel 1080p or 8K, 30fps H.265 video decoding. It delivers 275 TOPS of AI performance through the NVIDIA module, and integrates 64GB LPDDR5 RAM, 64GB eMMC storage, and offers M.2 NVMe and MicroSD card storage options. Other ports include a 10GbE RJ45 jack, five GbE jacks, USB 3.0, HDMI 2.0, RS232, RS485, CAN, and the system also supports WiFi 6, Bluetooth 5.2, 4G/5G cellular connectivity, and GPS/GNSS. Firefly EC-AGXOrin specifications: SoM – Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + […]

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