These are a few common options for Robotics
Quad-Core 64-bit ARMv8 Cortex-A53 CPU with NEON and Crypto Extensions Penta-Core ARM Mali-450 MP3 GPU with OpenGL ES 2.0 @ 750MHz 2GB of DDR3-2133 SDRAM on 32-bit Bus for up to 69Gb/s Unified Memory Bandwidth Multi-Plane Multi-Format 2.5D Programmable Pipeline Display Engine with HDMI 2.0 Output 4K Ultra-HD High Dynamic Range Video Decode Engine with Hardware Accelerated Decoder for VP9, H.265, H.264 Form Factor and GPIO Compatibility with Raspberry Pi 3 for Maximum Re-usability Supported Operating Sytem Images: Latest Linux 6.x With Weekly Security Updates Ubuntu 22.10 / 22.04 LTS / 20.04 LTS Debian 11 Raspbian 11 CoreELEC (Kodi) LibreELEC (Kodi) Android 9.0 Pie Armbian Lakka (RetroArch/Retro Gaming) Batocera (RetroArch/Retro Gaming
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Microcontroller Microchip ATmega328P Operating Voltage 5V USB Standard Type B Digital I/O Pins 14 PWM Digital I/O Pins 6 Analog Input Pins 6 Flash Memory 32 KB SRAM 2 KB EEPROM 1 KB Clock Speed 16 MHz
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Intel Nuc 11 NUC11ATKC4 Atlas Canyon Mini pc,Intel Celeron N5105, 2.0 GHz - 2.9 GHz Burst, 4 core, 4 Thread, 15W Intel UHD Graphics, 450 – 800 MHz Burst, 8GB RAM, 256GB SSD, Linux Mint OS
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This is an ideal computer for performing robotic functions that is capable operating various systems and opencv or computer vision NVIDIA Jetson Nano developer kit is a low-cost AI computer. It delivers the compute performance to run modern AI workloads at unprecedented size. It is incredibly power-efficient, consuming as little as 5 watts. It is supported by NVIDIA Jetpack, used across the entire NVIDIA Jetson family of products, reducing complexity and overall effort for developers, learners, and makers. NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts. Jetson Nano is also supported by NVIDIA Jet Pack, available using an easy-to-flash SD card image, making it fast and easy to get started. This proven software stack reduces complexity and overall effort for developers.
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