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Posted on by Tomisin Olujinmi - No Comments on CYOBot v2 ESP32-S3-based open-source modular robotics platform supports up to 16 servos (Crowdfunding)

CYOBot v2 ESP32-S3-based open-source modular robotics platform supports up to 16 servos (Crowdfunding)

CYOBot v2 ESP32-S3 modular robotics platform

Create Your Own Bot (CYOBot) v2 is an open-source, modular robotics platform for students, educators, hobbyists, and future engineers based on the ESP32-S3 microcontroller and featuring up to 16 servo motors for complex control. The CYOBot v2 is a follow-up to the previous quadrupedal robotic platform from the same company. It adds new features such as a modular design, an upgrade to the ESP32-S3 chip, more motor channels, and an expansion block with more peripherals. It also supports integrating AI systems, such as ChatGPT, for added functionality. The CYOBot supports up to three configurations via the CYOBrain — which powers the robotics platform and controls the servo motors — and separate 3D-printed components. The CYOBot Crawler is a four-legged robot powered by eight 180-degree servo motors. The CYOBot Wheeler form factor features four 360-degree motors linked to wheels at the end of each leg and is essentially a hybrid between […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Cytron MOTION 2350 Pro – A Raspberry Pi RP2350 board for robotics and motor control

Cytron MOTION 2350 Pro – A Raspberry Pi RP2350 board for robotics and motor control

Cytron MOTION 2350 PRO

As mentioned in the Raspberry Pi Pico 2 article, third-party RP2350 boards are already available, and one of them is the MOTION 2350 Pro board from Cytron designed for robotics and motor control. The board features a DC motor driver capable of controlling up to 4 brushed DC motors with voltage ratings from 3.6V to 16V. It also features eight 5V servo ports, eight GPIO ports, and three Maker ports for sensor or actuator modules. Each I/O is matched with its own LED which makes the board ideal for the education market and also simplifies debugging. Finally, a USB 1.1 host port is present to connect peripherals such as the RF dongle for a joystick or a keyboard. Cytron MOTION 2350 Pro specifications: Microcontroller – Raspberry Pi RP2350 CPU – Dual-core Arm Cortex-M33 processor @ 150MHz (RISC-V cores are not mentioned, so they are likely not used at all) Memory […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on M5Stamp Fly ESP32-S3 WiFi drone is controlled by the M5Atom WiFi joystick controller using ESPNOW

M5Stamp Fly ESP32-S3 WiFi drone is controlled by the M5Atom WiFi joystick controller using ESPNOW

M5Stamp Fly ESP32 Drone

M5Stack M5Stamp Fly is a tiny ESP32-S3 WiFi drone based on the company’s M5Stamp S3 WiFi 4 and BLE IoT module, equipped with four motors and several sensors. and controllable the M5Atom WiFi joystick controller also based on ESP32-S3 WiSoC. We have recently seen some tiny ESP32 or ESP8266 WiFi drones with a low-cost ESP32 DIY drone and the PiWings 2.0 drone, but the M5Stamp Fly is more advanced with a total of six sensors including a barometer, two time-of-flight distance sensors, a 6-axis IMU, a 3-axis magnetometer, and an optical flow detection sensors, plus two Grove connector for additional sensors or modules. M5Stamp Fly (K138) specifications: Main controller – M5Stamp S3 module WiSoC – Espressif Systems ESP32-S3FN8 dual-core 32-bit Xtensa LX7 microcontroller with AI vector instructions up to 240MHz, RISC-V ULP co-processor, 512KB SRAM, 2.4GHz WiFi 4 (802.11b/g/n), Bluetooth 5.0 BLE + Mesh, 8MB flash Connectivity 2.4 GHz WiFi […]

Posted on by Debashis Das - No Comments on Adeept Robot HAT for Raspberry Pi is designed for DIY projects and educational needs

Adeept Robot HAT for Raspberry Pi is designed for DIY projects and educational needs

Adeept PiCar B Mars Rover Smart Car

The Adeept Robot HAT V3.0 is a motor and sensor driver HAT that supports Raspberry Pi 5, Pi 4, and Pi 3 models. The board features a bunch of headers that give access to sensor and motor controllers including sixteen servo motor ports, a three-channel line tracking sensor, an ultrasonic sensor, IR receivers, WS2812 RGB LEDs, and more. Additionally, the board features an integrated 8.4V battery charger with a Type-C port for charging. All these features make it easy to build DIY robotics and smart car projects with this HAT. Previously we have written about similar educational robot kits including the Arduino Alvik educational robot, the XGO-Rider self-balancing robot, the Waveshare UGV Rover, SunFounder GalaxyRVR, and much more. Feel free to check that out if you are interested in those topics. Adeept Robot HAT V3.0 specifications HAT Name – Adeept Robot HAT V3.0 Host controller (one or the other) Raspberry Pi […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Beginner friendly Arduino Plug and Make Kit features Arduino UNO R4 WiFi and Modulino I2C modules

Beginner friendly Arduino Plug and Make Kit features Arduino UNO R4 WiFi and Modulino I2C modules

Arduino UNO R4 WiFi Modulino nodes

Arduino has just launched a “Plug and Make” kit designed for beginners with an Arduino UNO R4 WiFi board, several “Modulino” modules, a “Modulino” base to neatly attach the UNO R4 and modules,  and various cables, spacers, screws, and nuts. When thinking about Arduino projects, breadboards or even soldering may come to mind, but the new Arduino Plug and Make Kit does not require any of those. No breadboard, jumper wires, or soldering needed. Users can simply connect the modules to the Arduino board through Qwiic cables, neatly attach everything together on the provided base, and follow one of the seven projects complete with step-by-step instructions provided with the kit. The Arduino Plug and Make Kit content Arduino UNO R4 WiFi board 7x Modulino I2C nodes Modulino Knob* – Encoder for value adjustments Modulino Pixels* – 8x LC8822-2020 RGB LEDs Modulino Distance – STMicro VL53L4 Time-of-Flight (ToF) proximity sensor to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on High Torque Robotics Mini π is a bipedal robot powered by an Orange Pi 5 SBC

High Torque Robotics Mini π is a bipedal robot powered by an Orange Pi 5 SBC

High Torque Robotics mini Pi bipedal robot

High Torque Robotics’ Mini π is a 54cm high bipedal robot that can walk and dance with two legs and leverages the Orange Pi 5 SBC’s features such as the 6 TOPS AI accelerator in the Rockchip RK3588S processor. The robot offers 12 degrees of freedom (DOF) and can run, jump, and even flip thanks to its twelve join motors that were developed by the company. The Mini π is designed for locomotion algorithm research and education and supports ZMP (zero moment point), MPC (Model Predictive Control), reinforcement learning locomotion control algorithms, and ROS SLAM navigation features.   Mini π bipedal robot highlights: SBC – Orange Pi 5 RK3588S single board computer Controller – Custom-design “high-performance underlying controller” using 4x CAN FD communication DOF – 6 DoF per leg, or 12 in total Joint motors 8x HTDM-5047-36-NE with gear ratio: 36, 16Nm peak torque 4x HTDM-4438-32-NW with gear ratio: 32, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on ACEBOTT QE007 review – An ESP32-based Smart Home STEAM education kit for 8+ years old kids

ACEBOTT QE007 review – An ESP32-based Smart Home STEAM education kit for 8+ years old kids

QE007 ESP32 Smart Home Starter Kit Review

ACEBOTT QE007 ESP32-based Smart Home Starter Kit is a STEAM (Science, Technology, Engineering, Arts, and Maths) education platform that involves story reading, assembling a wooden house with various electronics sensors wired to an ESP32 board, and learning about electronics concepts (such as voltage and current) and coding with the Arduino IDE through an 18 lesson course. ACEBOTT has various STEAM education kits, and the company sent us the QE007 “IoT Smart Home Starter Kit” for evaluation and review. So I’ll go through an unboxing, report my experience with the assembly process, and the Arduino tutorials by going through some of the eighteen lessons. ACEBOTT QE007 unboxing The kit comes in a nice-looking retail that reads “ACEBOTT Explorer Series QE007” and “ACEBOTT IOT Smart Home Started Kit”. The front of the package also highlights its a STEAM education kit designed for 8+ years old kids. The bottom side gives the backstory […]

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 […]

UP 7000 x86 SBC