Lefant F1 – An ultra compact, yet powerful smart vacuum cleaner and mopping robot (Sponsored)

Levant F1

Established in 2011, Lefant Technology is a company specialized in intelligent robot technology and products, with a mission following the motto “Smart Technology, Better Family Life”, the company handles the full product lifecycle in-house from R&D to manufacturing and marketing and has launched several Lefant smart vacuum cleaners over the years including models such as Lefant U180, Lefant M201, Lefant M210, and Lefant T800. One of their latest products is the Lefant F1 robotic vacuum and mop combo that comes with a 600ml dust bin, 4000pa of suction power, and offers up to 200 minutes of runtime per charge. Some of the highlights of the Lefant F1 robotic vacuum cleaner include: A small body – The F1 robot vacuum cleaner comes in a compact size with an 11-inch diameter (about 28cm), and a 2.7-inch height (about 6.9cm) which allows it to reach locations that large robots cannot always go through. […]

NVIDIA Jetson AGX Orin 12-core Cortex-A78E module delivers up to 200 TOPS

Jetson AGX Orin

The upcoming NVIDIA Jetson AGX Orin module packs some serious processing power with a 12-core Cortex-A78AE processor, 2048 CUDA cores, and 64 Tensor cores delivering up to 200 TOPS of AI performance, or 6 times more than its predecessor, the Jetson AGX Xavier module. Designed for robotics, autonomous machines, medical devices, the Jetson AGX Orin delivers the same performance as a GPU-enabled server, but in a much more compact 100 x 87mm form factor. The module can be operated in three power modes, namely 15W, 30W, or 50W depending on performance and power requirements, and a compact developer kit will also be made available. Jetson AGX Orin specifications: CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator […]

LEGO Technic meets Raspberry Pi with the Build HAT

Raspberry Pi Build HAT with LEGO Technic

A new official Raspberry Pi expansion board is introduced today. The Built HAT provides four connectors for LEGO Technic motors and sensors from the SPIKE Portfolio, as well as an 8V DC jack to power both the Raspberry Pi and LEGO motors, sensors, LED matrix, and more. Designed in collaboration with LEGO Education, the Build HAT features the Raspberry Pi RP2040 dual-core ARM Cortex M0+ MCU for I/O control, and will enable more complex models benefiting from more powerful Broadcom BCM2xxx processors, as well as a Python library for easy programming. Build HAT key features and specifications: MCU – Raspberry Pi RP2040 microcontroller for low-level control of LEGO Technic devices 4x LPF2 connectors for LEGO Technic motors and sensors included in the SPIKE Portfolio 40-pin GPIO header for connection to Raspberry Pi 4 Model B, 3B+, 3B, 3A+, or Pi Zero family (Raspberry Pi 400 not supported) Misc – 2x […]

RK3399-based programmable wheeled robot works across multiple floors

Hermes Robot Platform

SLAMTEC Hermes robot platform is a programmable wheeled robot that can take payloads of up to 60 kg across multiple floors thanks to an optional elevator controller, which makes it suitable for hotels, hospitals, airports, warehouses, transportation hubs, surveillance robot, and more. Powered by a Rockchip RK3399 mainboard, the Hermes robot platform supports autonomous path-finding, robot collaboration, cross-floor delivery, smart obstacle avoidance,  safety features, and autonomous Recharging. It can be controlled with a REST API, programmed with C++ SDK, or a program called RoboStudio available for Windows and Android. Hermes wheeled robot platform specifications: Mainboard – Rockchip RK3399 SBC Video Output – HDMI Audio – 3.5mm audio (mic+headphone) jack, dual-channel 5W/8Ω amplifier header Network connectivity – Gigabit Ethernet RJ45 port, dual-band WiFi, 4G cellular with SIM card slot USB – USB 3.0 Type-C port Motion 6.5-inch in-Wheel motor Up to 1.2m/s (4.3 km/h) by default, but can be customized to […]

Mini Pupper – Raspberry Pi 4-based robot dog teaches ROS, SLAM, navigation, computer vision (Crowdfunding)

Mini Pupper Raspberry Pi 4 Robot Dog

Mini Pupper is a Raspberry Pi 4 powered robot dog inspired by Stanford Pupper open-source quadruped robot, and designed in “light collaboration” with Nathan Kau, the original creator of Stanford Pupper. Just like the original design, MangDang’s Mini Pupper is open-source, based on Ubuntu and ROS (Robot Operating System), and designed for robotics education in schools, homeschool families, enthusiasts and others, with notably students being able to learn out to use ROS, SLAM, navigation, and OpenCV computer vision through online courses that will come with the robot. Mini Pupper key features and specifications: SBC – Raspberry Pi 4 Model B with 2GB RAM Storage – 2GB microSD card Display – 320×240 LCD for facial animation Camera – Support for OpenCV AI Kit Lite 12 DOF via MangDang’s custom servos Optional Lidar module for SLAM (Simultaneous localization and mapping) Battery – 800 mAh Charger – Input voltage – 100-240V AC 50/60Hz, […]

NVIDIA Jetson Nano/Xavier NX carrier board offers 5 SATA, 6 CSI camera, dual GbE, and more

Leetop A205 Jetson Nano/Xavier NX carrier board

Leetop has introduced two carrier boards for NVIDIA Jetson Nano or Xavier NX modules, with Leetop A205 a full-featured carrier board offering five SATA ports, six MIPI CSI camera interfaces, an M.2 Key E slot, dual Gigabit Ethernet, four USB 3.0 ports, dual HDMI output and more, as well as the more compact Leetop A203 about the size of the modules themselves and offering Gigabit Ethernet, HDMI output, USB 3.0/2.0 ports, a camera interface, and an M.2 slot for optional WiFi and Bluetooth connectivity. We’ll focus on the former in this article, as it offers more features, and the smaller board provides less functionality than the NVIDIA Jetson Nano developer kit at a much higher price, although I understand it can still be useful for space-constrained applications. Leetop A205 specifications: Supported SoMs –  NVIDIA Jetson Nano and Jetson Xavier NX Module Compatibility Storage – 5x SATA ports, MicroSD card slot […]

Magicbit is a wire-free, modular STEM education platform (Crowdfunding)

Magicbit ESP32

Magicbit board joins other ESP32 platforms for the STEM education market such as the Crowbits Master Kit or ESP32-based Micro:bit clones with visual programming and Arduino and/or MicroPython support, a mobile app, and training materials such as project tutorials and online courses. Magicbit is designed to be wire-free with the hexagonal board offering four module’s connectors, an OLED display, buttons, a buzzer, and more. You can still use cables if you’d like with six crocodile clip holes and an expansion connector. Magicbit hardware specifications: Wireless module based on ESP32 dual-core processor @ 240 MHz with 520kB RAM and 2.4 GHz WiFi & Bluetooth 4.2/5.x LE connectivity, plus 4MB flash storage Display – OLED display Audio – Buzzer USB – 1x Micro USB port for power and programming Expansion 4x module expansions Motor driver Misc – Reset button, 2x user buttons, potentiometer, light sensor, LEDs Power Supply – 5V via MicroUSB […]

Qualcomm QRB5165 system-on-module is made for robotics applications

Open-Q 5165RB SOM

Lantronix Open-Q 5165RB is a tiny System-on-Module (SoM) based on the same Qualcomm QRB5165 octa-core IoT processor we’ve just seen in Qualcomm Flight RB5 5G Platform high-end drone reference design. The ultra-compact (50x29mm) module comes with 8GB LPDDR5, 128GB UFS flash, multiple MIPI camera and display ports, WiFi 6 and Bluetooth 5.1, and various I/Os. Lantronix Open-Q 5165RB module specifications: SoC – Qualcomm QRB5165 SoC built on 7nm technology with Octa-core CPU with 1x Kryo Gold prime @ 2.84 GHz, 3x Kryo Gold @ 2.42 GHz, 4x Kryo Silver @ 1.81 GHz Hexagon 698 DSP with quad Hexagon Vector eXtensions Adreno™ 650 GPU @ up to  587 MHz Spectra 480 Image Signal Processor Adreno 665 Video Processing unit  – Decode up to 4K240/8K60, Encode up to 4K120/8K30, Concurrent 4K60 decode & 4K30 encode for wireless display NPU230 Neural Processing unit SPU240 Secure Processing unit Up to 15 TOPS of combined […]

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