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

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

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Boardcon PICOT536 SoM and EMT536 SBC feature Allwinner T536 Edge AI processor

Back in April last year, Allwinner released the T536 SoC, and since then, we’ve seen MYiR Tech and Forlinx introduce SoM and SBC based on it. The latest to join the lineup is Boardcon, which has recently launched the PICOT536 SoM and EMT536 SBC for industrial HMI, machine vision, robotics, and other edge computing applications. As a reminder, the Allwinner T536 SoC features a quad-core Arm Cortex-A55 CPU, XuanTie E907 and E902 RISC-V coprocessors, and a 2 TOPS NPU for edge AI. The module comes with up to 8GB LPDDR4/LPDDR4X memory, up to 64GB eMMC flash, an optional WiFi 6 and Bluetooth 5.4 module, and a 314-pin MXM edge connector exposing I/Os such as MIPI DSI and LVDS, camera inputs, audio inputs and outputs, Gigabit Ethernet, PCIe, USB 3.0, and more. PICOT536 System-on-Module PICOT536 specifications: SoC – Allwinner T536 CPU – Quad-core Arm Cortex-A55 at up to 1.6GHz, RISC-V XuanTie

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AMD Versal Prime VM2152 mid-range adaptive SoC features 112 Gbps GTM Transceivers, 600Gbps Ethernet, DDR5/LPDDR5

The AMD Versal Prime VM2152 adaptive SoC is designed as a mid-range device for high-speed connectivity, with 112 Gbps transceivers and 400 GbE networking in a power-efficient package. It balances programmable logic with hardened IP blocks to simplify the design of high-throughput systems used in wired communications, aerospace, and test and measurement, without the higher power and complexity of high-end FPGAs. Compared to the AMD Versal Prime VP1902, the VM2152 focuses more on I/O performance rather than raw logic density. While the VP1902 offers more logic cells, the VM2152 adds support for LPDDR5 memory up to 6400 Mb/s and includes a 400 Gbps High-Speed Crypto engine, making it suitable for faster, more secure data processing than Agilex 7. AMD Versal Prime VM2152 specifications: Processor Subsystem APU – Dual-core Arm Cortex-A72 with 48 KB / 32 KB L1 Cache (with parity & ECC) and 1 MB L2 Cache (with ECC) Real-time

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ESP32-C5-WIFI6-KIT dual-band WiFi IoT board offers up to 32MB flash, 8MB PSRAM, onboard or external WiFi antenna

Waveshare ESP32-C5-WIFI6-KIT development kit looks similar to the official Espressif Systems ESP32-C5-DevkitC-1 board, but offers a wider range of options, including different PSRAM and flash capacities, and onboard or external antenna selection. While the official devkit ships with 8MB PSRAM, 4MB SPI flash, and a PCB antenna, the Waveshare board is offered with up to 8MB PSRAM, 16MB or 32MB flash, and either a PCB and external antennas. It also adds battery support and can be ordered with or without pre-soldered headers. Waveshare ESP32-C5-WIFI6-KIT specifications: Wireless module - ESP32-C5-WROOM-1 or ESP32-C5-WROOM-1U SoC – ESP32-C5 CPU Single-core 32-bit RISC-V processor @ up to 240 MHz Low-power RISC-V core @ 40 MHz acting as the main processor for power-sensitive applications Memory – 384 KB SRAM on-chip Storage – 320 KB ROM Connectivity Dual-band (2.4GHz/5 GHz) 802.11ax WiFi 6, with 802.11b/g/n WiFi 4 standard fallback 20MHz bandwidth for the 802.11ax mode 20/40MHz bandwidth

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KernelUNO – A lightweight OS for Arduino UNO with a Linux-like shell

KernelUNO is an Arduino sketch with 546 lines of code that provides a lightweight OS for the Arduino UNO with a Linux-like shell offering commands such as ls, df, uname, and so on. All you need is an Arduino UNO R3 or a compatible board with a Microchip ATmega328P microcontroller, a USB cable for programming, and optionally a few LEDs and resistors for testing the gpio command in the terminal. KernelUNO offers the following features: Virtual Filesystem - Create files and directories in RAM (/dev, /home) Hardware Control - GPIO management with pin mode configuration System Monitoring - Memory usage, uptime, kernel messages (dmesg) Interactive Shell - Real-time command execution with input buffering 23 built-in commands File system commands - ls, cd, pwd, mkdir, touch, cat, echo > , rm, info Hardware commands pinmode - Set pin mode write - Write to pin read - Read pin value gpio -

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Microchip PIC16F132 and PIC18-Q35 low-power 8-bit MCUs feature CPLD-like Configurable Logic Blocks (CLB)

Microchip Technology has introduced the PIC16F132 and PIC18-Q35 8-bit families of MCUs, as an upgrade over the PIC16F13145, which combine traditional embedded control with integrated Configurable Logic Blocks (CLB), to bring CPLD-like programmable logic directly onto the microcontroller die. The main difference between the two families is in logic density, where the PIC16F132x includes 32 Basic Logic Elements (BLEs), and the PIC18-Q35 offers 128 BLEs. Alongside the CLB, these MCUs also integrate security and voltage management features. Programming and Debugging Interface Disable (PDID) provides anti-tamper protection against unauthorized firmware access, and Multi-Voltage I/O (MVIO) allows direct communication across different voltage domains without external level shifters. The company also mentions that by executing logic functions on dedicated hardware rather than in software, the CLB architecture reduces CPU load and power consumption while ensuring deterministic behavior. This makes the devices well-suited for timing-critical applications such as motor control, industrial automation, consumer electronics,

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Raspberry Pi RP2350 board offers NB-IoT cellular connectivity, GNSS, and Wi-Fi indoor location

Challenger+ RP2350 NB-IoT is a Feather-compatible board pairing a Raspberry Pi RP2350 microcontroller and a certified NB-IoT cellular module with built-in GNSS, suitable for long-range, low-power connectivity. It looks to be a variant of the earlier Challenger+ RP2350 WiFi6/BLE5 board that replaces an ESP32-C6 WiFi 6, BLE, and 802.15.4 module with an STMicroelectronics ST87M01 NB-IoT and GNSS module. It still offers Challenger+ RP2350 NB-IoT specifications: Microcontroller – Raspberry Pi RP2350A MCU CPU Dual-core Arm Cortex-M33 processor @ 150MHz Dual-core 32-bit RISC-V processor @ 150MHz Up to two cores can be used at a given time Memory – 520KB internal RAM 8KB OTP Storage Package – QFN-60; 7×7 mm Memory – 8MB PSRAM Storage – 8MB SPI flash Cellular connectivity Module – STMicro ST87M01-1301 LTE Cat NB2 (NB-IoT), 3GPP Release 15 Worldwide regional bands coverage - B1, B3, B5, B8, B20, and B28 Single-tone / Multi-tone / Extended TBS and 2

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LILYGO T-Watch Ultra – An IP65-rated ESP32-S3 smartwatch with 2.01-inch AMOLED, LoRa, and GNSS

LILYGO's T-Watch Ultra is an ESP32-S3-based smartwatch development platform that appears to be an upgrade over the previous T-Watch-S3 Plus (1.3-inch display and a 940mAh battery), with a larger 2.01-inch AMOLED touch display, a higher-capacity 1,100mAh battery, and an IP65 waterproof and dustproof rating. The device integrates a u-blox MIA-M10Q GNSS module for positioning, a SX1262 LoRa transceiver for long-range communication, and a Bosch BHI260AP smart sensor for motion-based AI applications. Additionally, it features an RTC chip, NFC, a built-in microphone, a haptic driver, a microSD card slot, and a USB Type-C port for programming and charging. The watch targets applications such as Meshtastic nodes, GPS tracking, wearable IoT interfaces, edge AI sensing, and custom smartwatch firmware development. LILYGO T-Watch Ultra specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 512KB SRAM, 8MB PSRAM Wireless – WiFi

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