Mini Pupper 2 – Raspberry Pi 4 / CM4 robot dog adds ESP32, ROS2 support, servo feedback (Crowdfunding)

Mini Pupper 2

Mini Pupper 2 is an improved version of the Mini Pupper robot dog powered by a Raspberry Pi 4 introduced last year. The new model support either the Raspberry Pi 4 SBC or CM4 module, adds an Arduino programmable ESP32 wireless MCU, support for ROS2, and servo feedback. Two variants are offered with the Mini Pupper 2 implementing position servo feedback, and the Mini Pupper 2 Pro position, velocity, and torque servo feedback. Other changes common to both variants include the addition of an IMU, microphone & speaker, a touch sensor, support for autocalibration, as well as a new mobile app for control. Mini Pupper 2 specifications: CPU module – Raspberry Pi 4 SBC or Raspberry Pi CM4 system on module MCU – ESP32 WiFi and Bluetooth dual-core microcontroller programmable with the Arduino IDE Display – 320×240 LCD for facial animation Audio – Built-in Microphone and speaker Camera – Support […]

roboBeats – Interactive music robot doubles as Bluetooth speaker (Sponsored)

roboBeats

Elephant Robotics just launched roboBeats interactive music robot & Bluetooth speaker on Kickstarter. The robot is comprised of a display, two arms, as well as touch sensors, and a speaker for user interaction. The company is known for its robots for education such as the myBuddy 280 or MechArm Pi 270 robotic arms based on Raspberry Pi 4 SBC, and while the roboBeats is more like a toy for children and adults alike, the ESP32 wireless microcontroller powering the desktop robot can also be programmed with the Arduino IDE. roboBeats key features and specifications: Wireless MCU – Dual Xtensa 32-bit microcontroller (ESP32) with WiFi and Bluetooth Display – 320×240 display Audio – Full frequency speaker Two arms Touch interfaces on the front body (chest) and top (head) Motors – Brushless (BLDC) motors with near-silent operation USB – 1x USB Type-C port located under the robot for power and programming Misc […]

Vecow launches NVIDIA Jetson AGX Orin-based EAC-5000 Series Edge AI computing system

Vecow EAC-5000 Jetson AGX Orin embedded computer

Vecow EAC-5000 is a rugged AI computing system powered by NVIDIA’s Jetson AGX Orin 32GB or 64GB system-on-module designed for advanced edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The embedded computer delivers up to 275 TOPS of AI performance thanks to the NVIDIA module, supports up to eight GMSL2 cameras, various wireless connectivity options with 6 antennas, 9V to 50V wide range DC power input, and operates in the -20°C to 70°C temperature range. Vecow EAC-5000 specifications: System-on-Module EAC-5000-R32 – NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 @ up to 1.4 GHz Vision Accelerator – PVA v2.0 (Programmable […]

UP Element i12 Edge embedded computer is equipped with Intel’s NUC 12 Compute Element

UP Element i12 Edge

AAEON’s UP Bridge the Gap has announced the UP Element i12 Edge fanless embedded computer based on the Intel NUC 12 Compute Element and designed for the autonomous mobile robot (AMR) and industrial automation markets. The computer is fitted with NUC 12 Compute Element equipped with 12th generation Alder Lake hybrid processor from Celeron 7350 to Intel Core i7-1255U hybrid processor, supports up to 32GB LPDDR5 memory, NVMe support, offers three Ethernet ports including one 2.5GbE, several USB ports, two RS232/422/485 interfaces, a DIO header, and more. UP Element i12 Edge specifications: System-on-module – Intel NUC 12 Compute Element with: Alder Lake SoC (one or the other) Intel Core i7-1255U 10-core processor with 2x Performance cores @ up to 4.7 GHz, 8x Efficiency cores @ up to 3.5 GHz, Intel Iris Xe Graphics; PBP: 15W Intel Core i5-1235U 10-core processor with 2x Performance cores @ up to 4.4 GHz, 8x Efficiency […]

Miniature dual camera Full HD or 4K encoder boards support RGB and thermal cameras

Dual camera video encoder board

Z3 Technology has introduced several miniature dual-camera encoder boards with the PoE-capable FV2K-13A and FV4K-13A boards capable of handling two visible and/or thermal cameras at Full HD or 4K resolution respectively, along with the FV2K-15A and FV4K-15A variants equipped with low-profile connectors. All four models enable H.265/H.264 video streaming of a single or dual camera system, support ONVIF Profile S and T profile, and comply with the NDAA law in the US. This set of features as well as low power consumption and the lightweight designs make the boards suitable for UAV, inspection, surveillance, and other weight-constrained applications. Z3 Technology FV2K-13A and FV4K-13A dual-camera encoder boards specifications: SoC – Ambarella CV22 quad-core Cortex-A53 processor with 4Kp60 encoder (see PDF product brief) Storage – MicroSD, USB, or NFS Camera interfaces FV2K-13A Visible Camera Formats – Sony FCB-EV7520(A) and FCB-EV9500L HD and SD IR Formats – RS170, NTSC/PAL, and LVDS FV4K-13A Visible […]

$199+ NVIDIA Jetson Orin Nano system-on-module delivers up to 40 TOPS

NVIDIA Jetson Orin Nano

NVIDIA Jetson Orin Nano system-on-module (SoM) is an update to the Jetson Nano entry-level Edge AI and robotics module that delivers up to 40 TOPS of AI performance, meaning it’s up to 80 times faster than the original module. The new SoM features an hexa-core Arm Cortex-A78AE processor, an up to 1024-core NVIDIA Ampere architecture GPU with 32 Tensor cores, up to 8GB RAM, and the same 260-pin SO-DIMM connector found in the Jetson Orin NX modules. Two versions are offered with the following specifications: That means the Jetson Orin family has now six modules ranging from 20 TOPS to 275 TOPS. There’s no specific development kit for the Jetson Orin Nano SoM since it can be emulated on the NVIDIA Jetson AGX Orin developer kit, and supported by the JetPack 5.0.2 SDK based on Ubuntu 20.04. NVIDIA has tested some dense INT8 and FP16 pre-trained models from NGC and […]

Ochin Raspberry Pi CM4 carrier board is made for drones and robots

Ochin Raspberry Pi 4 carrier board for robots drones

There are plenty of carrier boards for Raspberry Pi CM4, but the Ochin looks a bit different, as it is specifically designed for drones and robots, and the compact carrier board exposes most interfaces through low-profile GHS connectors instead of standard ports or headers. About the size of the Raspberry Pi CM4 itself, the board also comes with a USB Type-C port to flash the eMMC flash, two MIPI CSI connectors, and four USB 2.0 GHS connectors to add cameras to your robotics projects, and supports LiPo batteries. Ochin specifications: Supported modules – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (the CM4 Lite is not supported since there’s no microSD card on the board), 4Kp60 H.265 decode, 1080p30 H.264 encode, and optional WiFI 5 and Bluetooth 5.0 USB – 1x USB 2.0 Type-C port Camera I/F – 1x 4-lane […]

Sipeed MetaSense RGB ToF 3D depth cameras are made for MCUs & ROS Robots (Crowfunding)

Sipeed MetaSense RGB ToF 3D Depth Cameras

We’ve just written about the Arducam ToF camera to add depth sensing to Raspberry Pi, but there are now more choices, as Sipeed has just introduced its MetaSense ToF (Time-of-Flight) camera family for microcontrollers and robots running ROS with two models offering different sets of features and capabilities. The MetaSense A075V USB camera offers 320×240 depth resolution plus an extra RGB sensor, an IMU unit, and a CPU with built-in NPU that makes it ideal for ROS 1/2 robots, while the lower-end MetaSense A010 ToF camera offers up to 100×100 resolution, integrates a 1.14-inch LCD display to visualize depth data in real-time and can be connected to a microcontroller host, or even a Raspberry Pi, through UART or USB. MetaSense A075V specifications: SoC – Unnamed quad-core Arm Cortex-A7 processor @ 1.5 GHz with 0.4 TOPS NPU System Memory – 128 MB RAM Storage – 128MB flash Cameras 800×600 @ 30 […]

EmbeddedTS embedded systems design