Category: Robots

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CloudMinds Cloudia Virtual Personality

Posted by juliusaugustus – March 21, 2019

Cloudia CloudMinds Intelligent Digital Avatar, provides Conversational AI in virtual form- connecting on an emotional level-becoming the face of your brand to customers. Cloudia is a virtual personality that can be accessed from anywhere. Cloudia is designed to live on a digital display in many locations- on a shelf, a kiosk or a video wall. Cloudia supports voice recognition, intent classification, and contextual understanding to improve conversational ability over time. Demo created with Inseego.

MediaTek Helio P90, dual ARM Cortex-A75, six ARM Cortex-A55

Posted by Charbax – March 6, 2019

MediaTek Helio P90 dual ARM Cortex-A75 with 6 ARM Cortex-A55 in an octa-core cluster, with powerful AI APU 2.0 with 1165GMACs performance, Imagination PowerVR GM 9446 GPU, LPDDR4X memory, supports up to 48MP camera sensors (44.7% larger than 8K), 48MP at up to 30FPS with zero delay (ZSD) or 480FPS in 16MP. Dual camera arrays of up to 24+16MP can do 30fps bokeh live-previews that are 6X faster and 2.25X higher resolution than competitor claims MediaTek. Upgraded triple ISP that’s now capable of 14-bit RAW and 10-bit YUV processing. CorePilot control that supports ACAO (all cores all open), AI-enhanced low-light noise reduction algorithm is 4X faster and is also the first ever AI-feature in CV (computer vision) performance. MediaTek’s latest 4G LTE WorldMode modem introduces 4x4 MIMO, 3CA and 256QAM that provides more reliable connectivity performance even in densely populated spaces such as stadiums, busy shopping districts, offices or at the airport.

$449 Qualcomm Robotics RB3 Platform Snapdragon 845 Development Board, Embedded World 2019 booth tour

Posted by Charbax – March 3, 2019

Qualcomm and Thundercomm launches the Robotics RB3 Platform 96Boards development board (available for $449 at Thundercomm), supports the development of smart, power-efficient, and cost-effective robots, uses heterogeneous computing and Qualcomm Artificial (AI) Engine to support on-device machine learning, computer vision, robust security, multimedia, Wi-Fi, and cellular connectivity capabilities, based on the Qualcomm SDA845/Qualcomm SDM845 SoC. It includes hardware, software, and development tools, the Qualcomm Robotics RB3 platform is designed to help manufacturers and developers create robotic products, ranging from large industrial and enterprise robots to small battery-operated ones with challenging power. This video also features a tour of the Qualcomm booth at Embedded World 2019, featuring all the LTE for IoT modems such as the MDM9206 and the MDM9205 LTE IoT modem, and development boards available from Qualcomm's partners including Geniatech, Intrinsyc, eInfoChips, Altek, Inforce Computing, Keith and Koep, Shiratech, Basler and more.

Marcelo Knörich Zuffo of the University of San Paolo in Brazil at Linaro Connect Vancouver 2018

Posted by juliusaugustus – November 21, 2018

Marcelo Knörich Zuffo is a professor of the Electronic Systems Engineering Department of the Polytechnic School of the University of San Paolo in Brazil. He teaches people how to design electronics and has projects going on such as drones using development boards such as the 96Boards platform. He also teaches PCB design. His particular specialty is autonomous drones that don't require human control. He uses boards from 96boards.

$179 Pixhawk 4, $300 Pixhack v5 Autopilot Open Source Development kit for Drones and Robots

Posted by Charbax – October 20, 2018

Pixhawk 4 is an advanced autopilot designed and made in collaboration with Holybro and the PX4 team. It is optimized to run PX4 version 1.7, suitable for academic and commercial developers.
Main FMU Processor: STM32F76532 Bit Arm Cortex-M7, 216MHz, 2MB memory, 512KB RAMIO Processor: STM32F10032 Bit Arm Cortex-M3, 24MHz, 8KB SRAM.Magnetometer: IST8310.GPS: ublox Neo-M8N GPS/GLONASS receiver; integrated magnetometer. Pixhack v5 is an advanced autopilot designed and made by CUAV®. The board is based on the Pixhawk-project FMUv5 open hardware design. It runs PX4 on the NuttX OS, and is fully compatible with PX4 firmware. It is intended primarily for academic and commercial developers. Main FMU Processor: STM32F76532 Bit Arm® Cortex®-M7, 216MHz, 2MB memory, 512KB RAM .IO Processor: STM32F100.32 Bit Arm® Cortex-M3, 24MHz, 8KB SRAM.Magnetometer: IST8310.Barometer: MS5611.Interfaces:8-14 PWM outputs (6 from IO, 8 from FMU) Aliexpress (text by flatslap5657 of Fiverr)

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$170 ROBOBLOQ Programmable Metal Robot Qoopers Kit, $90 Q-Scout and Q-Elephant

Posted by Charbax – October 20, 2018

JERRY WANG, CEO talking about products of Robobloq. Which is a new high tech player in STEM* education solution development. Robobloq robot construction platforms are mechanics, electronics and software & application. Robobloq two years old company but this already sales in Australia, New-Zeeland, France, Ukraine, Russia, Canada and United State. Products: Robobloq Qoopers Programmable Metal Robot Kit: Metal body, transformable and drag-and-drop programming: connect with robobloq app and enjoy playing with sensors and electronic modules in a fun way! remote control, line tracking, obstacle avoiding, music playing and rgb lights. drag and drop, and code, explore the metal building platform, cross-subject learning for future talents Robobloq Q-scout Take you beyond imagination: Metal blocks for a smiling robot:the use of aluminum delivers a true feel of robot; big eyes and a smile brings you close to the robotic world.Connect with Robobloq app and enjoy playing with sensors and electronic modules in a fun way! Drag-and-drop, code easily, cross-subject education solution: Robobloq q-scout is a hardware platform designed for stem* education. The future world needs a multi-skilled you. Robobloq Q-Elephant and Q-Dino : With 260+ pieces of metal parts and electronic modules you can build a majestic elephant which seems it travelled through time. The 8-legged structure added to the fun of building and playing! One little surprise - it can transform to a unicorn form with flapping wings. Q-dino strikes you as one of the cutest robot dinosaurs with its wiggling arms and biting jaw. An embedded DC motor driver brings extra fun to coding with it. Q-dino has an crocodile iteration with long tail, enjoy building. (text by flatslap5657 of Fiverr)

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$50 eduMIP with 96Boards, BeagleBone, Raspberry Pi, with Thomas Bewley (UCSD Professor)

Posted by Charbax – September 20, 2018

UC San Diego Professor Thomas Bewley discusses his Segway-like educational robotics kit, eduMIP, based on the BeagleBone Blue at Linaro Connect Vancouver 2018. This inexpensive kit (available online, for $128, at Renaissance Robotics is used in his Embedded Control & Robotics course at UCSD, which Prof Bewley is currently working on taking online as a MOOC. It is also beginning to be used by a community of researchers and educators at other universities around the world. In this video, Prof Bewley also introduces his early efforts in developing new (and, significantly higher-power) motor-control daughterboards in the 96boards and Raspberry Pi formats. He also discusses eduMIP v.2 and some other advanced prototypes in his lab, as well as the Robot Control (RC) software library that drives this hardware, and will ultimately enable easy porting of control codes across the BeagleBone, Raspberry Pi, and 96boards linux-based product lines, in addition to deployment onto very-low-cost custom targets based on Cortex M based processors running an RTOS. His ultimate goal with this ambitious effort is to facilitate a much more seamless pathway from lab prototype to commercial product.

Nvidia Press Conference at Computex 2018

Posted by Charbax – June 6, 2018

Jensen Huang, Founder and CEO of Nvidia, Announces Jetson Xavier which I have filmed a separate interview about here, he does not launch the rumored GTX2080 or GTX1180 next-gen graphics cards yet, provides update on Max-Q thinner full GPU gaming laptops, talks DGX-2 supercomputer "The World's Largest GPU" (an update on the DGX which I filmed here) with 2 petaflops of performance in one node, 512GB frame buffer which has set 5 world records: fastest single chip, fastest single node, fastest at scale, fastest inference, and highest inference throughput.

Libre Computer Development Boards S905X, RK3328, H2+/H3/H5 form-factor compatible with Raspberry Pi

Posted by Charbax – June 5, 2018

Libre Computer introduces three products of their CC-series which are form-factor compatible with the Raspberry Pi boards and based on open-market hardware. Depending on the model, these single-board computers (SBCs) offer higher performance, more RAM, and/or more IO while sharing the existing aftermarket parts ecosystem. All three products were featured on crowdfunding and supported by free and open source software (FOSS) like Linux and u-boot.

AML-S905X-CC, nicknamed Le Potato, is based on the popular Amlogic S905X SoC. It offers up to 2GB of RAM, four 64-bit cores, 4K60 video playback with HDR, and built-in infrared receiver. This board is the most power-efficient platform of the three and uses less than one watt at idle. There is a large suite of available software for the S905X SoC and it is the only one that has previously passed certification for Google’s Android TV platform. Currently, video decode is missing from upstream Linux and is only available from Amlogic’s BSP with Linux 4.9. Android up to 8 Oreo is available with design contract.

ROC-RK3328-CC, nicknamed Renegade, is based on the Rockchip RK3328 SoC. It offers up to 4GB of high-speed DDR4, four 64-bit cores, 4K60 video playback with HDR, USB 3.0, Gigabit Ethernet. Perfect for IO intensive application like home media center, NAS, microservice virtualization, and more. HDMI support in upstream Linux is scheduled to be completed in Q4 2018. Ubuntu and Debian with accelerated video and 3D is available based on Rockchip’s BSP with Linux 4.4. Android up to 8 Oreo is schedule to be available in Q3 2018 with design contract.

ALL-H3-CC, nicknamed Tritium, is based on three separate Allwinner SoCs: H2+, H3, and H5. The H2+ variant offers 512MB of RAM, four 32-bit cores, and 1080P video playback. The H3 variant is the H2+ variant with 1GB of RAM and 4K30 video playback. The H5 variant offers 2GB of RAM, four 64-bit cores, and 4K30 video playback. There is a large software community behind Allwinner SoCs called linux-sunxi and they have been upstreaming Linux hardware support for almost a decade. This platform also has a crowdfunded effort for video decode Linux upstream underway by Bootlin. Android up to 7 Nougat is available.

Full Comparison of Board Features

Libre Computer platforms are radio-less, FCC and CE certified, long-term-supported (LTS 5Y+) single-board computers. Libre Computer offers hardware customization on all supported SoC platforms. Standard boards with components added/removed can be ordered with 1K MOQ. Small effort customization/mezzanine design contract can be requested with 5K MOQ. Full custom design contracts are available for orders with 20K MOQ. Industrial design, software, project management resources are available as part of design contract.

$1299 Nvidia Jetson Xavier dev kit, 8-core ARMv8, 512-core Volta GPU for AI Robotics

Posted by Charbax – June 4, 2018

Nvidia launes Jetson Xavier with 20x the performance of Jetson TX2 and 10x the energy efficiency with 512-core Volta GPU with Tensor Cores in an embedded module with more than 9 billion transistors it runs at under 30W, with multiple operating modes at 10W, 15W, and 30W. The Jetson Xavier ARM SoC has 6 kinds of high-performance processors on its SoC, a Volta Tensor Core GPU, an eight-core ARM64 CPU, dual NVDLA deep learning accelerators, an image processor, a vision processor and a video processor. Jetson Xavier has a peak performance of up to 30 TOPS (trillion operations per second) of mixed-precision FP32/FP16/INT8 performance. It can encode dual 4K60 H265 and decode dual 4K60 H265 at up to 12bit. Comes with 16GB LPDDR4x RAM with 137GB/s memory bandwidth, 32GB eMMC storage. It also has a dual NVDLA DL/ML Accelerator Engines which are open source available at and a 7-way VLIW Vision Accelerator. Nvidia Jetson Xavier runs using the Nvidia Isaac platform, a toolbox for the simulation, training, verification and deployment of Jetson Xavier. This robotics software consists of: Isaac SDK, APIs and tools to develop robotics algorithm software and runtime framework with fully accelerated libraries, Isaac IMX (Intelligent Machine Acceleration) applications, a collection of NVIDIA-developed robotics algorithm software, Isaac Sim, a highly realistic virtual simulation environment for developers to train autonomous machines and perform hardware-in-the-loop testing with Jetson Xavier. The Nvidia Jetson Xavier developer kit, which includes the Isaac robotics software, will be priced at $1,299, with early access starting in August from distributors worldwide.