Arduino Alvik is a 3-wheel robot designed for STEAM education

Arduino Alvik

Arduino Education’s Arduino Alvik is a 3-wheel educational robot that was initially unveiled at the Bett 2024 show in London and designed to teach robotics, programming, and other STEAM subjects. The robot is based on an Arduino Nano ESP32 board and comes with a set of nineteen lessons designed by Arduino Education’s team in collaboration with teachers so that students can learn the basics of IoT, get started with MicroPython, and get themselves familiar with various physics and engineering concepts. The company has yet to provide the full specifications for the Alvik robot, but here’s what we know at this stage: Mainboard – Arduino Nano ESP32 2x wheels plus 1x ball wheel Sensors – “High-quality sensors” that include a ToF ranging sensor, line-following sensors, a 6-axis accelerometer & gyroscope, a proximity sensor, and color sensors. Expansion 2x Grove I2C connectors 2x Qwiic connectors 6-pin servo motor header for up to […]

ESP32-S3-Matrix board features 64 LEDs, GPIO pins, 9-axis “attitude” sensor for robotics and motion control applications

Waveshare ESP32 S3 Matrix board

The Waveshare ESP32-S3-Matrix is a microcontroller development board designed for AIoT applications, featuring a larger 8×8 RGB LED matrix (64 LEDs) compared to the 5×5 RGB LED matrix (25 LEDs) on the ESP32-C3/ESP32 based “C3FH4 RGB” / “PICO D4 RGB” board. In addition to that the Waveshare board features two 10-headers for GPIOs, UART, and power signals, along with an integrated QMI8658C attitude sensor (9-axis IMU sensor), making it ideal for robotics and motion control projects. Recently we have seen Waveshare introduce affordable products that are perfect for embedded development like the $15 1.69-inch IPS touch LCD module, the $6.99 ESP32-C6-Pico Board, the $4.99 ESP32-S3-Tiny board and much more feel free to check those out if you are interested in those. Waveshare ESP32-S3-Matrix dev board specifications: MCU – Espressif Systems ESP32-S3FH4R2 CPU – Dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration Memory – 512KB RAM, […]

XGO-Rider is a 2-wheel self-balancing robot with an ESP32 controller plus either a Raspberry Pi CM4 or BBC Micro:bit (Crowdfunding)

XGO-Rider

XGO-Rider is a two-wheel self-balancing robot with an ESP32 controller for motor and servo control, USB-C charging, etc… and a choice between a Raspberry Pi CM4 module or a BBC Micro:bit board for display, audio, and camera (CM4-only). It’s not the first robot from Luwu Intelligence, since the company launched the XGO-Mini robot dog in 2021, followed by the XGO 2 Raspberry Pi CM4-powered desktop robotic dog with an arm which we reviewed last year. The new XGO-Rider builds on these earlier models but in a different form factor moving from four-legged robots to a 2-wheel self-balancing robot design with many of the same features including AI vision running on the Raspberry Pi CM4. XGO-Rider specifications: Host controller (one or the other) Raspberry Pi CM4 with 2GB RAM + ESP32 for main control, USB-C charging port, DIP switch BBC Micro:bit V2 + ESP32 for main control, USB-C charging port, DIP […]

Waveshare UGV Rover – A 6-wheel AI robot built around Raspberry Pi 4/5 and ESP32

Waveshare Unmanned Ground Vehicle Rover(UGV) for Raspberry Pi 4 and Pi 5

The Waveshare UGV Rover is a 6-wheel robot platform based on Raspberry Pi 4 or 5 as well as an ESP32 module and built for remote exploration, object recognition, and autonomous navigation. Since the source code for the platform will be open-sourced it can also be used for educational purposes, programming, robotics, AI experimentation, and many other applications. This Unmanned Ground Vehicle (UGV) rover features a 2mm thick aluminum body, six 80mm shock-absorbing tires, and a four-wheel drive system controlled by an ESP32 sub-controller. The sub-controller also handles sensors, LiDAR, cameras, and more. The brain or the main controller of the rover is a Raspberry Pi SBC – either a Pi 4B or Pi 5 – which notably handles computer vision and machine learning operations. Since the mounting holes are designed to fit a Raspberry Pi, it is safe to assume that it will fit other SBCs with the same […]

UP Squared Pro 710H Edge mini PC combines Processor N97 or Core i3-N305 CPU with 26 TOPS Hailo-8 AI accelerator

UP Squared Pro 710H Edge mini PC

AAEON UP Squared Pro 710H Edge is a mini PC with an onboard Hailo-8 edge 26 TOPS AI accelerator and an Intel Processor N97 or Core i3-N305 Alder Lake-N CPU designed for edge AI applications. The fanless Edge AI mini PC comes up to 16GB LPDDR5 soldered-on RAM, up to 128GB eMMC flash, and offers dual 4K video output through HDMI and DisplayPort connector, dual 2.5GbE, optional WiFi and cellular connectivity, two USB 3.2 ports, an RS232/RS422/RS485 COM port, a 40-pin female GPIO header, and a wide 12 to 36V DC input. UP Squared Pro 710H Edge specifications: Alder Lake N-series SoC (one or the other) Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics Gen 12 @ 1.2 GHz; TDP: 12W Intel Core i3-N305 octa-core processor up to 3.8 GHz with 6MB cache, 32EU Intel UHD Graphics Gen 12 @ 1.25 GHz; […]

FOCn ESP32-S3-based, medium-power BLDC driver module supports SimpleFOC

focn board

European engineer, Matej Planinšek of PLab, has developed the FOCn — a medium-power BLDC driver module based on ESP32-S3 WiSoC capable of delivering up to 10A of continuous current. It is compatible with the SimpleFOC Arduino library making it easier to control BLDC (brushless direct current) and stepper motors with the field-oriented control algorithm. The developer was inspired to create the FOCn module when their search for a custom-made, SimpleFOC-compatible driver module that met all their requirements failed. The name is related to field-oriented control (FOC) and also means “face slap” in Slovenian, Matej’s native language. The driver module is based on the ESP32-S3 dual-core XTensa LX7 microcontroller which provides Wi-Fi and Bluetooth connectivity. The microcontroller further supports ESP-NOW, a low-power and low-latency communication protocol, which makes it possible for multiple FOCn boards to talk to one another. FOCn driver module specifications: MCU – ESP32-S3 dual-core XTensa LX7 microcontroller @ […]

AAEON BOXER-8645AI Jetson AGX Orin-powered embedded AI system supports up to 8 GMSL2 cameras

AAEON BOXER-8645AI embedded AI system

AAEON BOXER-8645AI is an embedded AI system powered by NVIDIA Jetson AGX Orin that features eight GMSL2 connectors working with e-con Systems’ NileCAM25 Full HD global shutter GMSL2 color cameras with up to 15-meter long cables. The BOXER-8645AI is fitted with the Jetson AGX Orin 32GB with 32GB LPDDR5 and 64GB flash and up to 200 TOPS of AI performance. Other features include M.2 NVMe and 2.5-inch SATA storage, 10GbE and GbE networking ports,  HDMI videos, and a few DB9 connectors for RS232, RS485, DIO, and CAN Bus interfaces. The embedded system takes 9V to 36V wide DC input from a 3-pin terminal block. AAEON BOXER-8645AI specifications: AI accelerator module – NVIDIA Jetson AGX Orin 32GB CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz […]

congatec conga-SA8 Amston Lake SMARC modules are targeted at industrial edge applications

congatec conga-SA8 Amston Lake

Congatec’s new conga-SA8 SMARC modules are powered by the Intel Atom x7000RE “Amston Lake” processors. With twice the processing cores and similar power consumption to the previous generation, congatec’s new credit-card-sized modules are “intended for future-facing industrial edge computing and powerful virtualization.” An Intel Core i3‑N305 Alder Lake-N processor is also offered as an alternative to the Intel Atom x7000RE series for high-performance IoT edge applications. The conga-SA8 modules support up to 16GB LPDDR5 onboard memory, 256GB eMMC 5.1 onboard flash memory, and offer several high-bandwidth interfaces such as USB 3.2 Gen 2, PCIe Gen 3, and SATA Gen 3. The integrated Intel UHD Gen 12 graphics processing unit has up to 32 execution units and can power three independent 4K displays. The conga-SA8 is described as virtualization-ready and has a hypervisor (virtual machine monitor) integrated into the firmware. The RTS hypervisor takes complete advantage of the eight processing cores […]

Exit mobile version
UP 7000 x86 SBC