Using ChatGPT for Robotics – Programming myCobot 280 robotic arm with natural language (Sponsored)

ChatGPT myCobot 280 Robotic Arm

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 […]

SOPHON BM1684/BM1684X Edge AI computer delivers up to 32 TOPS, decodes up to 32 Full HD videos simultaneously

Sophon BM1684 BM1684X Edge AI computer

Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD are nearly identical Edge AI embedded computers based on respectively SOPHON BM1684 and BM1684X Arm AI SoC delivering up to 32 TOPS of AI inference, and capable of decoding up to 32 H.265/H.264 Full HD videos simultaneously for video analytics applications. The BM1684(X) SoCs are equipped with eight Cortex-A53 cores clocked at 2.3 GHz to run Linux, and the systems come with up to 16GB RAM, 128GB flash, two Gigabit Ethernet ports to receive the video streams, one HDMI output up to 1080p30 for monitoring,  as well as RS232 and RS485 DB9 connectors, and a few USB ports. Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD specifications: SoC – SOPHGO SOPHON BM1684/BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3GHz TPU BM1684 64 NPU arithmetic units with each NPU containing 16 EU arithmetic units, or 1,024 EU in total Up to 17.6 TOPS (INT8), […]

Cincoze P1201 – A slim Atom x6000E Elkhart Lake PC for embedded and panel PC applications with a CDS connector

Elkhart Lake Embedded PC Panel PC

Cincoze P1201 is a slim embedded computer based on an Atom x6000E Elkhart Lake processor and mostly designed for panel PC applications thanks to the company’s patented CDS (Convertible Display System) connector that allows the mini PC to slide into the back of a display for easy installation. Equipped with up to 32GB RAM, SATA and/or mSATA storage, the P1201 can also be used for generic embedded and industrial applications thanks to DisplayPort and VGA video interfaces, two Gigabit Ethernet ports, optional wireless modules for WiFi, Bluetooth, and cellular, terminal blocks for RS232, RS485, and digital I/Os, as well as support for a wide supply voltage up 48V, and a -40°C to 70°C operating temperature range. Cincoze P1201 specifications: Elkhart Lake SoC (one or the other) Intel Atom x6425E quad-core processor @ 2.00 GHz / 3.0 GHz with 1.5MB cache, 32 EU UHD graphics; 12W TDP Intel Atom x6211E dual-core […]

Servo and motor control with Raspberry Pi Pico, CircuitPython, and Wukong 2040 breakout board

Raspberry Pi Pico Wukong 2040 Motor Control CircuitPython

ELECFREAKS Wukong 2040 is a multifunctional breakout board designed for Raspberry Pi Pico. It is equipped with interfaces for four DC motors, up to twelve servos, a buzzer, A\B buttons, RGB “rainbow” lights, a Reset button, etc… The board can be powered by a single 18650 3.7V LiPo battery and integrates a power management IC that monitors the battery level and can also charge the battery via a USB charger. Battery life is typically 60 minutes per charge but can last over 120 minutes depending on the load.   Wukong 2040 key features and specifications Description of the Wukong 2040 interfaces Specifications and dimensions of the Wukong 2040 Expansion Board for Raspberry Pi Pico The Wukong 2040 breakout board for the Raspberry Pi Pico can control up to four DC motors and up to 12 servo motors as shown in the diagram below. Pinout diagram of the Wukong 2040 board […]

MIPI CSI camera works with Intel Atom x7000, Processor, and Core i3 Alder Lake-N processors

Alder Lake-N Customer Reference Board MIPI CSI camera

Most Intel processors do not come with a MIPI CSI camera, but some Alder Lake-N processors do, and Leopard Imaging has designed the LI-ADL-ADP-IMX415-MIPI-081H MIPI CSI camera module that is compatible with the Intel ADL-N CRB (Alder Lake-N Customer Reference Board) and custom Alder Lake-N boards equipped with a compatible MIPI CSI connector. The 13MP camera supports resolutions up to 3864 x 2176 and works with boards and embedded systems based on Intel Atom processors x7000E Series, Intel Core i3-N processors, and Intel Processors N-Series processors. LI-ADL-ADP-IMX415-MIPI-081H specifications: Sony IMX415 CMOS image sensor Diagonal – 6.43 mm (Type 1/2.8) Active Pixels – 3864 (H) x 2176 (V) Pixel Size: 1.45 x 1.45 μm Optical Format: 1/2.8″ Effective Focal Length – 4.063 mm Aperture, F/#2.29 ± 5% IR Filter – 650 nm IR cut filter Field of View (FOV) – 81.7˚ horizontal, 44.7˚ vertical; 95.1˚ diagonal Lens Mount – M12 x […]

$499 NVIDIA Jetson Orin Nano Developer Kit delivers up to 80x Jetson Nano Devkit performance

NVIDIA Jetson Orin Nano Developer Kit

NVIDIA Jetson Orin Nano Developer Kit is an upgrade to the popular Jetson Nano Developer Kit that delivers 80 times the performance, up to 50 times the performance per watt, and gives the developers the ability to design entry-level AI-powered robots, smart drones, intelligent vision systems, and more. The Jetson Orin Nano has a similar form factor as the original Jetson Nano, but is fitted with a Jetson Orin Nano 8GB module with up to 40 TOPS AI performance, and is equipped with a DisplayPort video output, USB 3.2 Gen 2 ports, two M.2 Key M sockets for SSDs, Gigabit Ethernet, a pre-installed Wi-Fi module, and connectors for cameras. NVIDIA Jetson Orin Nano Developer Kit specifications (compared to Jetson Nano Developer Kit-B01) The new developer kit is supported by the Ubuntu 20.04-based NVIDIA JetPack 5.1.1 SDK, as well as application-specific frameworks such as NVIDIA Isaac ROS and DeepStream, which are […]

XIAO ESP32S3 is a tiny ESP32-S3 WiFi 4 and BLE 5.0 module for IoT, AI, and robotics

XIAO ESP32C3

Seeed Studio XIAO ESP32S3 is the new member of the company XIAO family with an ESP32-S3 dual-core wireless microcontroller with WiFi 4 and BLE 5.0 designed for Smart Home, IoT, wearables, and Robotics applications. It succeeds the single-core ESP32-C3-based XIAO ESP32C3  board with the same form factor, but the new XIAO ESP32S3 offers more performance, vector extension for machine learning, more flash, and improved power consumption in deep sleep mode. Seeed Studio XIAO ESP32C3 specifications: Wireless MCU – Espressif Systems ESP32-S3R8 dual-core Tensilica LX7 microcontroller @ 240 MHz with 512KB SRAM, 8MB PSRAM, Wi-Fi 4 & Bluetooth 5.0 dual-mode (Classic + BLE) connectivity Storage – 8MB SPI flash Antenna – External u.FL antenna USB – USB Type-C port for power and programming Expansion I/Os 2x 7-pin headers with 1x UART, 1x I2C, 1x SPI, 11x GPIO (PWM), 9x ADC 3.3V I/O voltage (not 5V tolerant) Debugging – JTAG pads Misc […]

Qualcomm Robotics RB1 and RB2 development kits launched for $199 and up

Qualcomm Robotics RB1 RB2 Vision Kit

We quickly mentioned the Qualcomm Robotics RB1 and RB2 development kits in our post about Lantronix Open-Q 2210RB and 4210RB SiPs mostly to complain about the lack of information at the time. But things have changed the Qualcomm Robotics RB1 and RB2 devkits for cheaper, smaller Linux-powered robots with lower power consumption are now available, and we have more details with three options: Core Kit, Vision Kit, and Full Kit. So let’s have a closer look. All kits are based on the Qualcomm Robotics RB1/RB2 Core Kit with the following (preliminary) specifications: System-on-module RB1 –  Thundercomm TurboX C2210 SoC – Qualcomm QRB2210 CPU – Quad-core Cortex-A53 processor at up to 2.0 GHz GPU – Adreno 702 GPU at 845 MHz with support for OpenGL ES 3.1, Vulkan 1.1, OpenCL 2.0 Hexagon QDSP6 v66 DSP 1080p 30 fps encode / 1080p 30fps decode System Memory – 1GB or 2GB LPDDR4 Storage […]

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