MyCobot robotic arm is offered with Raspberry Pi 4 or M5Stack ESP32 modules

myCobot-Pi and myCobot-M5

Elephant Robotics’ MyCobot robotic arm was introduced last year with M5Stack Atom & Basic ESP32 modules with 6-degrees of freedom, a 250 grams max payload, available now for $599. The company has launched a new $699  version – MyCobot-Pi – with most of the same features, except for an upgrade to Raspberry Pi 4B which offers more performance and flexibility. Both versions of MyCobot arm robotic arm support accessories such as a gripper and a suction pump attachable through a LEGO connector, but while the original version – MyCobot-M5 – relies on Arduino programming, the new MyCobot-Pi runs Debian/Ubuntu and ROS operating systems with image recognition algorithms that can work with a variety of cameras. Since we’ve missed last year’s announcement, we’ll cover both models in this article. MyCobot Robotic Arm Despite the mechanical parts being the same, the specifications for MyCobot-M5 and MyCobot-Pi differ quite a lot: Controller MyCobot-M5 […]

Edge AI and robotics embedded computers feature NVIDIA Jetson TX2 NX module

NVIDIA Jetson TX2 NX computers

NVIDIA unveiled a cost-down version of the Jetson TX2 module with the Jetson TX2 NX SO-DIMM system-on-module last month, and AAEON is one of the first companies to have updated some of their products with the new module. AAEON’s BOXER-823x-series of fanless embedded computers feature the NVIDIA Jetson TX2 NX module, and multiple Ethernet ports, including some PoE capable for the development of edge AI and robotics applications. BOXER-8230AI AI Edge Fanless Embedded Box PC This model offers a mid-range alternative between the Jetson Xavier AGX NX-based BOXER-8250AI embedded box PC and the Jetson Nano-powered BOXER-8220AI mini PC both of which offer the same ports. BOXER-8230AI specifications: SoM (CPU/Memory/Storage) – NVIDIA Jetson TX2 NX with dual-core NVIDIA Denver 2 64-Bit CPU and quad-core Arm Cortex-A57 MPCore processor @ up to 2.0 GHz, 256-core NVIDIA Pascal GPU @ up to 1.3 GHz, 4GB LPDDR4, 16GB eMMC flash Storage – MicroSD card […]

GMSL2 camera kit supports 15-meter long cables, up to six cameras with NVIDIA Jetson Xavier AGX

6x gmsl2 cameras nvidia agx xavier devkit

We’ve recently seen it’s possible to use a long cable with the Raspberry Pi camera thanks to THine camera extension kit that works with 20-meter LAN cables using V-by-One HS technology. e-con Systems has now launched a similar solution for NVIDIA Jetson Xavier AGX, one of the most powerful Arm devkits available in 2021, with NileCAM21 Full HD GMSL2 HDR Camera that supports up to 15-meter long cable as well as LFM (LED Flickering Mitigation) technology. NileCAM21 camera features and specifications: Based on OnSemi AR0233 Full HD camera module with S-mount interchangeable lens holder Gigabit Multimedia Serial Link 2 (GMSL2) interface with FAKRA connector Shielded coaxial cable for transmission of power and data over long distances (up to 15m) High Dynamic Range (HDR) with LED Flickering Mitigation (LFM) Supported resolutions and max frame rates for uncompressed UYVY streaming VGA (640 x 480) up to 60 fps qHD (960 x 540) […]

This mini-computer is set to outperform NVIDIA Xavier by eight times

Fast Sense X Robotics AI Platform

When it comes to high-end AI-edge computer boards, we have seen Hackboard 2 with support for Windows 10 operating system and optional 4G or 5G cellular connectivity. Fast Sense Studios is a Russian-based startup designing powerful on-board computers to bring edge AI capabilities to mobile robotics. At Embedded World 2021, the company has unveiled the Fast Sense X Robotics AI Platform that integrates the power of six computers into a single module. The company claims the newly launched edge AI computer outperforms the NVIDIA Xavier with over 8x higher performance in mobile robots thanks to the advanced DNN inference hardware. Apart from the Intel UHD GPU, the computer also integrates up to 3 Coral Edge TPU devices and up to 2 Myriad X devices allowing it to give optimum results even when on heavy workloads. “We believe in the future where reliable physical agents become relevant for routine tasks that […]

StereoPi v2 stereoscopic camera is powered by Raspberry Pi CM4 (Crowdfunding)

StereoPi v2 Raspberry Pi CM4 camera

StereoPi stereoscopic camera based on Raspberry Pi Compute Module 3 was introduced in late 2019 on Crowd Supply.  The camera can record 3D video, create 3D depth maps with OpenCV, and benefits from the Raspberry Pi software ecosystem. The developers are now back with an upgraded model. StereoPi v2 comes with many of the same features, but as it is based on Raspberry Pi CM4 (Compute Module 4) it offers better performance, Gigabit Ethernet, Wifi & Bluetooth connectivity out of the box, while other features like PoE, TFT screen, shot button, etc.. are optional. StereoPi v2 specifications: Supported SoM – Raspberry Pi CM4 or CM4Lite modules Storage – MicroSD card socket Video Output – Micro HDMI port Camera I/F – 2x MIPI CSI camera connector plus “hackable camera lines” Networking – Gigabit Ethernet RJ45 port, plus optional WiFi 5 and Bluetooth 5.0 on Raspberry Pi CM4 module USB – 2x […]

Jetson AGX Xavier based Edge AI Platform supports 8 GMSL automotive cameras and 10Gbps Ethernet

Jetson Xavier AI Edge computer with 8 GSML cameras

Neousys Technology, a Taiwan-based provider of rugged embedded systems, has introduced the NRU-110V Edge AI inference platform powered by an  NVIDIA Jetson AGX Xavier SoM. It comes with eight FAKRA Z connectors to support up to eight GMSL automotive cameras, as well as one 10GbE (10 Gigabit Ethernet) port for real-time video data transfer. The system specifically supports GMSL cameras with 3-exposure HDR, LED flicker mitigation, good light-sensitivity, and IP67 waterproof characteristics,  and also comes with a synchronize mechanism to simultaneously capture high-quality images from 8 GMSL cameras while accepting GPS PPS signal to align image data with other sensors. That makes it suitable for various applications ranging from autonomous driving, mobile robots, precision agriculture, intelligent V2X, to teleoperation. Neousys NRU-110V specifications: System-on-Module – NVIDIA Jetson AGX Xavier SoM with SoC NVIDIA 512-core Volta GPU 8-core Arm Carmel CPU 2x NVDLA Engines 7-Way VLIW Vision Processor Memory – 32GB LPDDR4x […]

Cybovac S31 Review – A smart robot vacuum cleaner with visual SLAM support

Kyvol Cybovac S31 Review

I’ve been asked to review robot vacuum cleaners in the past but refused because they were quite basic with a simple vacuum function, obstacle detection, maybe a mopping function, and not much else. But Kyvol Cybovac S31 is different as it integrates a laser distance sensor (LDS) enabling visual SLAM to create a map of your house, and can be controlled with a mobile app for Android or iOS which ended up even more useful than I initially expected. S31 Smart Robot Vacuum Cleaner Unboxing The package was much bigger than I expected, mostly because the charging station also includes a dust bag where dust from the main unit is automatically vacuumed each time cleaning is complete. Key features of the system as shown above: LDS robot vacuum cleaner (main unit) 4 levels of suction power Cleaning modes – Auto, area, spot, edge Anti-drop and anti-collision features 2.4 GHz WiFi […]

Fanless Tiger Lake UP3 embedded box PC targets industrial IoT, robotics & automation

Tiger Lake UP3 embedded box pc

Last month Vecow introduced SPC-6000 fanless embedded PC powered by an Atom x6425RE Elkhart Lake processor, and considering Tiger Lake UP3 embedded processors were announced at about the same time as Atom x6000E-series family, it should come as no surprise that the Taiwanese company has introduced a more powerful Tiger Lake UP3 model. Vecow SPC-7000/7100 Tiger Lake UP3 embedded box PC is equipped with a choice of Core i3 to i7 processors with 12W to 28W TDP with support for Iris Xe graphics, 2.5GbE, TSN networking that makes it suitable for factory automation, robotics, cellular V2X, smart retail, and any AIoT/Industry 4.0 applications. Vecow SPC-7000/7100 specifications: SoC – Intel Core i7/i5/i3 quad-core Tiger Lake UP3 processor with Intel UHD graphics or Intel Xe Graphics; 12W to 28W configurable TDP System memory – Up to 32GB via 1x DDR4 3200MHz SO-DIMM socket Storage – 1x M.2 Key B  2260 Socket, 1x […]

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