robotics

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on UP Xtreme i14 SBC offers Intel Core Ultra 5/7 Meteor Lake SoC, up to 64GB LPDDR5 for robotics and AIoT applications

UP Xtreme i14 SBC offers Intel Core Ultra 5/7 Meteor Lake SoC, up to 64GB LPDDR5 for robotics and AIoT applications

UP Xtreme i14 Core Ultra 5 SBC

AAEON has launched the UP Xtreme i14 SBC based on a choice of Intel Core Ultra 5/7 Meteor Lake SoCs, up to 64GB LPDDR5, M.2 PCIe sockets and a SATA port for storage, 2.5GbE and GbE interfaces, four 8K capable video output ports (HDMI, DP, and USB-C), a MIPI CSI camera interface, and more. The 14th Intel Core Ultra 5/7 SoC features up to 16 cores, Intel Arc graphics, and an Intel AI Boost NPU that deliver up to 32 TOPS combined and make the UP Xtreme i14 board especially suitable for applications such as Autonomous Mobile Robots (AMR), Smart Retail, and AI-assisted healthcare imaging. UP Xtreme i14 specifications: Meteor Lake-H/U SoC (one of the other) Intel Core Ultra 7  165H 16-core (6P+8E+2LPE) processor @ 1.4 / 5.0 GHz with 24MB cache, Intel 8Xe LPG graphics @ 2.3 GHz, Intel AI Boost NPU; TDP: 28W Intel Core Ultra 7 155H […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Ochin V2 tiny Raspberry Pi CM4 robotics carrier board gets micro HDMI port, Fast Ethernet support

Ochin V2 tiny Raspberry Pi CM4 robotics carrier board gets micro HDMI port, Fast Ethernet support

Ochin V2 CM4 robotics carrier board and USB-C board

Ochin V2 is an update to the tiny Ochin Raspberry Pi CM4 carrier board for robotics applications and drones that adds a micro HDMI port, support for Fast Ethernet through pads or a GHS connector (no RJ45 connector), two user LEDs, and a few other changes. The form factor remains the same at just 55 x 40 x 4.7mm, or about the size of a Raspberry Pi Compute Module 4, which in combination with a range of USB, UART, I2C, and SPI interfaces, makes it an ideal candidate for space-constrained applications such as robotics system or UAVs. Ochin V2 specifications (differences against Ochin v1 shown in bold or strikethrough): Supported modules – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (the CM4 Lite is not supported since there’s no microSD card on the board), 4Kp60 H.265 decode, 1080p30 H.264 encode, […]

Posted on by Tomisin Olujinmi - No Comments on Easily build a robot car with the Car Base Board for the STM32F411 “Black Pill” board

Easily build a robot car with the Car Base Board for the STM32F411 “Black Pill” board

Car Base Board Mounted PCB chassis

The Car Base Board from Applying Microcontroller Solutions is a modular platform for building robot car projects powered by the WeAct Studio Black Pill development board. The Black Pill board is an upgrade to the “Blue Pill 2” board and features the STM32F411CEU6 microcontroller running at 100MHz with 512 KB of flash memory, 128 KB SRAM, and a USB Type-C port for power and programming. The Care Base Board printed circuit board is a base controller that takes hardware expansions such as wireless modules, servos, and sensors to monitor and control a robot car. The onboard headers provide a straightforward way to wire these connections and help prevent a tangled mess (rat’s nest) of wires. The PCB’s design makes it easy to use widely-available, “generic” devices and boards in development and to power all of them with batteries. It also allows the developer to select their favorite wireless communication device. […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Arduino Alvik is a 3-wheel robot designed for STEAM education

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 […]

Posted on by Debashis Das - 13 Comments on ESP32-S3-Matrix board features 64 LEDs, GPIO pins, 9-axis “attitude” sensor for robotics and motion control applications

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, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on 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 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 […]

Posted on by Debashis Das - No Comments on Waveshare UGV Rover – A 6-wheel AI robot built around Raspberry Pi 4/5 and ESP32

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on 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 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; […]

EmbeddedTS embedded systems design