Bootlin has just released the Snagboot open-source recovery tool for embedded platforms designed to work with multiple vendors, and currently STMicro STM32MP1, Microchip SAMA5, NXP i.MX6/7/8, Texas Instruments AM335x and AM62x, and Allwinner “sunxi” processors are supported. Silicon vendors usually provide firmware flashing tools, some closed-source binaries, that only work with their hardware. So if you work on STM32MP1 you’d use STM32CubeProgrammer, while SAM-BA is the tool for Microchip processors, NXP i.MX SoC relies on UUU, and if you’ve ever worked on Allwinner processors you’re probably family with sunxi-fel. Bootlin aims to replace all those with the Snagboot recovery tool. The Python tool is comprised of two parts: snagrecover using vendor-specific ROM code mechanisms to initialize external RAM and run the bootloader (typically U-Boot) without modifying any non-volatile memories. snagflash communicates with the bootloader over USB to flash system images to non-volatile memories, using either DFU, USB Mass Storage, or […]
Using ChatGPT for Robotics – Programming myCobot 280 robotic arm with natural language (Sponsored)
ChatGPT AI chatbot can help engineers write programs, and we recently tested it by letting it write a Python program to read data from an I2C accelerometer. But it can be used for more advanced programs and Microsoft Autonomous Systems and Robotics Group used ChatGPT for robotics and programmed robot arms, drones, and home assistant robots intuitively with (human) language. The long-term goal is to let a typical user control/program a robot without having an engineer write code for the system. Microsoft explains that the current robotics pipelines begin with an engineer or technical user that needs to translate the task’s requirements into code for the system. That’s slow, expensive, and inefficient because a user needs to write code, skilled workers are not cheap, and several interactions are required to get things to work properly. With ChatGPT or other large language models (LLM), a user could “program” the robot with […]
IP67-rated CM4 AI camera uses Raspberry Pi Compute Module 4 for computer vision applications
EDATEC ED-AIC2020 is an IP67-rated, Raspberry Pi CM4-based industrial AI camera equipped with a fixed or liquid lens and LED illumination that leverages the Raspberry Pi Compute Module 4 to run computer vision applications using OpenCV, Python, And Qt. We’ve previously written about Raspberry Pi Compute Module-based smart cameras such as the Q-Wave Systems EagleEye camera (CM3+) working with OpenCV and LabVIEW NI Vision and the StereoPi v2 (CM4) with stereo vision. But the EDATEC ED-AIC2000 is the first ready-to-deploy Raspberry Pi CM4 AI camera we’ve covered so far. EDATEC “CM4 AI camera” (ED-AIC2020) specifications: SoM – Raspberry Pi Compute Module 4 up to 8GB RAM, up to 32GB eMMC flash Camera 2.0MP global shutter or 5.0MP rolling shutter Acquisition rate – Up to 70 FPS Aiming point – Red cross laser Built-in LED illumination (optional) Scanning field Electronic liquid lens Fixed focal length lens Networking Gigabit Ethernet M12 port Communication protocols – Ethernet/IP, PROFINET, Modbus […]
Cytron CM4 Maker Board review – Part 2: NVMe SSD, RTC, Buzzer, Grove modules, ChatGPT…
We’ve already checked out Cytron’s CM4 Maker Board kit with a Raspberry Pi CM4 system-on-module and booted the system with the included 32GB “MAKERDISK” Class 10 microSD card preloaded Raspberry Pi OS in the first part of the review. For the second part of the CM4 Maker review, I’ve mostly used the 128GB NVMe SSD provided by the company and played with other features of the board including the RTC, the buzzer, some Seeed Studio grove modules, and even got help from ChatGPT for one of the Python programs I used. Booting Cytron CM4 Maker Board with the “MAKERDISK” NVMe SSD I connected several Grove modules with GPIO and I2C interfaces, a Raspberry Pi Camera Module 3, an Ethernet cable, two RF dongles for a wireless keyboard and mouse, an HDMI cable to a monitor, and finally inserted the provided 5V/3.5A USB-C power adapter. The MAKERDISK SSD comes with Raspberry […]
PiEEG shield for Raspberry Pi enables brain computer interfaces (Crowdfunding)
PiEEG is an open-source hardware Raspberry Pi shield that measures electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG) bio-signals and provides a brain-computer interface to applications or robots for gaming, entertainment, sports, health, etc… Ildar Rakhmatulin, a Research Associate at Heriot-Watt University in Edinburgh, is passionate about open-source brain-computer interfaces and first created the IronBCI project based on ADS1299 and STM32 and published a research paper entitled “Low-cost brain computer interface for everyday use” about his work. But cost increases related to the semiconductors shortage of recent years meant the price for his “low-cost” project shot up to over $1,000. So he went back to the drawing board and created the PiEEG shield for Raspberry Pi now available on Crowd Supply. PiEEG shield specifications: ADC – Texas Instruments ADS1299 Analog-to-Digital Converter for biopotential measurements Supported SBCs – Raspberry Pi 3 or 4, and boards with the same 40-pin GPIO header. Host […]
FOSSBot open design 3D printed educational robot is made with Raspberry Pi and off-the-shelf parts
FOSSBot is an “open design” 3D printed educational robot comprised of a Raspberry Pi SBC and various off-the-shelf modules, as well as open-source software that can be used for education purposes. The FOSSBot DIY robot has been developed by the Harokopio University of Athens and the Greek Free and Open Source Software (GFOSS) community, and builds upon the “GSOC 2019 – A DIY robot kit for educators” with the main goal being to have a platform to “familiarize teachers with modern education models based on the S.T.E.A.M approach. (Science, Technology, Engineering, Arts, Mathematics)”. FOSSbot key components: SBC – Raspberry Pi Zero W, Raspberry Pi 3, or Raspberry Pi 4. Mechanically and electrically compatible Raspberry Pi alternatives could be an option too although part of the software would have to be modified Storage – 32GB MicroSD card Expansion board – Adafruit Perma-Proto HAT for Pi – No EEPROM to connect sensors […]
XGO 2 – A Raspberry Pi CM4 based robot dog with an arm (Crowdfunding)
XGO 2 is a desktop robot dog using the Raspberry Pi CM4 as its brain, the ESP32 as the motor controller for the four legs and an additional robotic arm that allows the quadruped robot to grab objects. An evolution of the XGO mini robot dog with a Kendryte K210 RISC-V AI processor, the XGO 2 robot offers 12 degrees of freedom and the more powerful Raspberry CM4 model enables faster AI edge computing applications, as well as features such as omnidirectional movement, six-dimensional posture control, posture stability, and multiple motion gaits. The XGO 2 robot dog is offered in two variants – the XGO-Lite 2 and the XGO-Mini 2 – with the following key features and specifications: The company also says the new robot can provide feedback on its own postures thanks to its 6-axis IMU and sensors for the joints reporting the position and electric current. A display […]
ultraArm P340 Arduino-based robotic arm draws, engraves, and grabs
Elephant Robotics ultraArm P340 is a robot arm with an Arduino-compatible ATMega2560 control board with a 340mm working radius whose arm can be attached with different accessories for drawing, laser engraving, and grabbing objects. We’ve previously written and reviewed the myCobot 280 Pi robotic arm with a built-in Raspberry Pi 4 SBC, but the lower-cost ultraArm P340 works a little differently since it only contains the electronics for controlling the servos and attachments, and needs to be connected to a host computer running Windows or a Raspberry Pi over USB. ultraArm P340 specifications: Control board based on Microchip ATMega2560 8-bit AVR microcontroller @ 16MHz with 256KB flash, 4Kb EEPROM, 8KB SRAM DOF – 3 to 4 axis depending on accessories Working radius – 340mm Positioning Accuracy – ±0.1 mm Payload – Up to 650 grams High-performance stepper motor Maximum speed – 100mm/s Communication interfaces – RS485 and USB serial Attachment […]