robotics News - Page 2 of 40 - CNX Software - Embedded Systems News

Raspberry Pi Pico-sized RP2350 CAN development board features a clone of the MCP2515 CAN Bus controller

Waveshare RP2350 CAN Development Board

Waveshare has recently launched RP2350-CAN, a Raspberry Pi RP2350-powered CAN development board with onboard XL2515 CAN Bus controller and a SIT65HVD230 CAN transceiver. The board supports the CAN V2.0B protocol at up to 1 Mbps, and the XL2515 chip appears to be a clone of the popular Microchip MCP2515 CAN controller. The board includes the same 26 multi-function GPIO pins and USB-C port as found on the Raspberry Pi Pico 2. Other features include a DC-DC buck-boost converter (MP28164), BOOT and RESET buttons, a user LED, a selectable 120Ω CAN termination resistor, and CAN screw terminals. The CAN Bus board targets automotive, industrial control, and robotics applications. Waveshare RP2350 CAN specifications: SoC – Raspberry Pi RP2350A CPU Dual-core Arm Cortex-M33 @ 150 MHz with Arm Trustzone, Secure boot OR Dual-core RISC-V Hazard3 @ 150 MHz Up to two cores can be used in any combination Memory – 520 KB on-chip SRAM […]

Harnessing the Power of AI in Industrial Automation (Sponsored)

ModBerry 500 CM5 AI predictive maintenance

The industrial IoT (IIoT) landscape is undergoing a transformative shift, driven by advancements in artificial intelligence (AI). Among the frontrunners of this revolution is the ModBerry 500 CM5, a cutting-edge IoT platform enhanced by optional AI modules like the Hailo-8L and Geniatech AIM-M2. With the integration of these modules, the ModBerry 500 CM5 becomes a powerhouse for industrial automation, offering unparalleled performance and scalability. Let’s dive into the exciting capabilities of this innovative combination and explore the current and future applications of AI in IIoT. ModBerry 500 CM5: The Core of Smart Industrial Automation At the heart of the ModBerry 500 CM5 is the powerful Raspberry Pi Compute Module 5, featuring a quad-core Cortex-A76 processor and support for up to 16GB of RAM. When paired with AI acceleration modules like the Hailo-8L and Geniatech AIM-M2, the ModBerry 500 CM5 evolves from an IoT hub into a sophisticated AI-enabled system capable […]

Cervoz M.2 SFP Ethernet expansion modules support long cables (up to several kilometers) for robotics

Cervoz M.2 SFP Ethernet module

Cervoz M.2 MEC-LAN-2001-SFP and MEC-LAN-2002-SFP are M.2 SFP Ethernet expansion modules delivering gigabit Ethernet speed over long distances for robotics using an Intel i210-IS controller compliant with IEEE 802.3x and 802.3z standards. Small Form-factor Pluggable (SFP/SFP+) cages are usually associated with high-speed Ethernet connections of over 10 Gbps, but another advantage of SFP cages over RJ45 jacks is that they allow for data transmission over several kilometers, while RJ45 Ethernet is typically limited to about 100 meters. The Cervoz M.2 SFP Ethernet expansion modules would allow laying out long cables in logistics centers, smart factories, transportation hubs, and energy management facilities where Autonomous Mobile Robots (AMRs) operate across long distances. Cervoz M.2 MEC-LAN-2001-SFP and MEC-LAN-2002-SFP specifications: Ethernet 1x or 2x Gigabit Ethernet connectors via Intel i210-IS controller(s) Support Wake-on-LAN and Hot-Swap function 1x or 2x SFP cages via MEC daughter board Host interface – M.2 B+M Key edge connector with […]

Aerium Lumen – An NVIDIA Jetson carrier board for drones and robots

NVIDIA Jetson Carrier Board for drones

Aerium System’s Lumen is a carrier board for NVIDIA Jetson SO-DIMM modules designed specifically for drones and robots with a range of low-profile connectors for I/Os for USB, UART, I2C, etc…, and three M.2 sockets for storage and wireless expansion. It targets the same applications as ARK Electronics’ NDAA-compliant Jetson Orin Nano/NX carrier board for drones we covered last year, but it’s not sold as a full kit and lacks NDAA-compliance. On the positive side, it is quite smaller and lighter, so it might be better suited to smaller and/or less complex drones or robots that may still benefit from Vision AI acceleration. Aerium Lumen specifications: Compatible system-on-modules NVIDIA Jetson Nano NVIDIA Jetson Orin NX NVIDIA Jetson Orin Nano NVIDIA Jetson Xavier NX NVIDIA Jetson TX2 NX Potentially other Jetson-compatible SO-DIMM modules like the Mixtile Core 3588E, but those are not listed by the company. Storage MicroSD card slot M.2 Key-B […]

Sterolabs ZED Box Mini is a compact NVIDIA Jetson Orin Nano/NX Vision AI PC with two GMSL2 camera inputs

ZED Box Mini

Stereolabs ZED Box Mini “Super” is a compact mini PC based on NVIDIA Jetson Orin Nano or NX system-on-module and equipped with two GMSL2 camera inputs with synchronization trigger input/output, enabling AI Vision processing for robotics and smart infrastructure. The AI vision mini PC / embedded computer unit (ECU) also features a 256GB SSD, HDMI 1.4/2.1 video output, a gigabit Ethernet port, an optional Intel AX201 wireless module with two external antennas, a USB 3.0 port, a micro USB port for flashing the OS, and a 10-pin GPIO header with CAN Bus and UART for expansion. ZED Box mini specifications: System-on-Module (one or the other) NVIDIA Jetson Orin Nano 4GB | 34 TOPS NVIDIA Jetson Orin Nano 8GB | 67 TOPS NVIDIA Jetson Orin NX 8GB | 117 TOPS NVIDIA Jetson Orin NX 16GB | 157 TOPS Storage – 256GB SSD inserted in M.2 Key-M 2242 socket Video Output – […]

SOMDEVICES µSMARC RZ/V2N system-on-module packs Renesas RZ/V2N MPU in a 82x30mm “micro SMARC” form factor

SOMDEVICES uSMARC module Renesas RZ V2N

SOMDEVICES µSMARC RZ/V2N is a system-on-module powered by the Renesas RZ/V2N AI MPU and offered in a micro SMARC (µSMARC) form factor that’s quite smaller at 82x30mm than standard 82x50mm SMARC modules. The company told CNX Software it’s still 100% compatible with SMARC 2.1 with a 314-pin MXM 3.0 edge connector. It’s also cost-effective with a compact PCB and can be used in space-constrained applications. The µSMARC features up to 8GB LPDDR4, up to 128GB eMMC flash, two gigabit Ethernet PHY, and an optional WiFi 5 and Bluetooth 5.1 wireless module. µSMARC RZ/V2N specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and Open CL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 […]

Canonical now officially supports Ubuntu on NVIDIA Jetson system-on-modules

Canonical Ubuntu NVIDIA Jetson

The NVIDIA JetPack SDK has been based on Ubuntu ever since it was created (although the Jetpack 6 SDK changed that somewhat), so I was surprised to read that Canonical now officially supports Ubuntu on NVIDIA Jetson, since I assumed there may have already been a partnership in place. The announcement explains that Canonical has announced the General Availability (GA) of Ubuntu for the NVIDIA Jetson Orin for edge AI and robotics “bringing enterprise-grade stability and support” to the popular system-on-modules. Canonical further explains the collaboration enables better performance with optimized Ubuntu images for the NVIDIA Jetson platform, enterprise-level security with updates and long-term support,  a unified environment from edge to cloud, and improved stability and reliability with Canonical’s QA team performing over 500 OS compatibility-focused hardware tests. If we visit the NVIDIA Jetson page of the Ubuntu website, we’ll find Ubuntu Server 22.04 images for the Jetson AGX Orin, […]

u-blox DAN-F10N – The world’s smallest dual-band (L1/L5) GNSS module with an integrated patch antenna fits in a 4cm2 package

u blox DAN-F10N world’s smallest GNSS module

u-blox has recently announced the world’s smallest L1, L5 dual-band GNSS module with an integrated patch antenna for precise meter-level positioning in applications such as asset tracking, telematics, industrial automation, consumer UAVs, and sports trackers. The module features a compact 20x20x8mm dual-band patch antenna with a unique packaging technology, enabling surface mounting for automated manufacturing and simplified integration. Its SAW-LNA-SAW RF architecture and an LTE B13 notch filter in the L1 RF path enhance out-of-band jamming immunity, ensuring smooth operation near cellular modems. The module includes internal flash memory for firmware upgrades and supports an antenna switch function for operation with an external active GNSS antenna. DAN-F10N GNSS module specifications: Storage – Internal Flash for firmware GNSS receiver u-blox F10 engine GPS: L1 C/A, L5 QZSS: L1C/A, L1S, L1Sb, L5 Galileo: E1B/C, E5a BeiDou: B1C, B2a NavIC: L5 SBAS: L1 C/A, BDSBAS B1C Communication protocol NMEA UBX binary RTCM v. […]

Firefly NVIDIA Jetson products