樹莓派 0W 狂想曲︰ 木牛流馬《銜接》

朋友好奇的問我說︰今天『小汽車』之 DIY 組件這麼多種,為什麼獨選『 GoPiGo 』呢?

Technical Specifications of the GoPiGo:

  • Operating Voltage: 7-12V
  • Current usage:
    • -> 300-500 mA (Idle with the Raspberry Pi Model B+)
    • -> 800 mA-2A (Motors, camera and servo running with the Raspberry Pi Model B+)
  • External Interfaces:
    • -> I2C– 1Port
    • -> Serial– 1 Port
    • -> Analog– 1 Port
    • -> Digital/PWM- 1Port
  • Motor controller: 
  • Encoders
    • -> 2 Optical encoders with 18 pulse counts per rotation
  • Wheel Diameter: 65mm
  • MCU: Atmega 328

More:

Latest Design on Github.

Hardware and Port Description

The GoPiGo is stacked on top of the Raspberry Pi without the need for any other connections. Communication between the two occurs over the I2C interface. You can connect motors and sensors to the GoPiGo.

The GoPiGo has 4 ports on it on which various Grove Sensors can be connected. There is an Analog, Digital, Serial and I2C port on the GoPiGo. There is also a connector to connect the Servo motors and another connector to connect upto 3 line sensors on the GoPiGo.

All the motor control and sensor I/O on the GoPiGo is done by an ATMEGA328 microcontroller on the GoPiGo. The microcontroller acts as an interpreter between the Raspberry Pi and the GoPiGo. It sends, receives, and executes commands sent by the RaspberryPi.

In addition, the GoPiGo allows you the Raspberry Pi to access some Grove sensors directly. The Raspberry Pi has an I2C Bus by which sensors connected to the I2C Ports can be directly accessed.

GoPiGo top side

The GoPiGo has 2 optical encoders on the bottom side of the PCB that are used to track the movement of the wheels and help the GoPiGo move in a straight line.

GoPiGo bottom

Here is the port description for the GoPiGo2:

GoPiGo2 port description top side

GoPiGo2 port description bottom side

Have a question or a suggestion?  Go check out our support page here or post it on the forums here

其實這早在作者寫『 GrovePi 』主題序列文本時就已決定了,由於『 GrovePi 』涉及許多不同領域之技術內容,而且考慮從零說起,或可嘉惠更多讀者的吧!因此要談『聰明物件』得講『神經網路』 ,結果是越寫越長哩。但思不及於『光的世界』與『影像處理』,如何實現『AI 小汽車』呀?此所以當時擱筆,真作繭自縛也!!