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LidarBot

SKU:K017-C

Description

LidarBot is a powerful development kit for Automated Guided Vehicles(AGVs). Comes with a 360 Lidar sensor, 4 Mecanum wheels, M5 Core, RGB Bars and a remote controller with Joystick panel and more。In addition, a trace kit is attached for the identification of black or white track line. With 4 Mecanum wheels, you can make it move to any direction, forward, backward, to left and to right. The Lithium polymer Batteries empower the Robot to run long-hours. You can display the map data, that obtained from the lidar sensor, on the screen or upload somewhere else thru Wi-Fi and program it into any format. We have implemented Real-time communication via ESP-NOW between robot and remote, Mazing-running , self-tracing and more. If you are interest in AGV development, We especially encourage you to modify the open source code we have offered on github and enhance it yourself.

This product is EOL now.

Product Features

  • EAI YDLIDAR X2 radar ranging speed: 8m @ 7Hz
  • Programming Support
  • ESP-NOW Remote
  • With tracking function
    • Arduino
    • UIFlow (Blockly)
    • Python
  • ESP-NOW communication
  • Mecanum wheels
  • Compatible LEGO

Include

  • 1x LidarBot
  • 1x TRACE Kit
  • 1x Remote Control Handle
  • 2x Battery(1300mAh @ 11.1V)
  • 1x Power Charger
  • 1x Type-C USB Cable

Applications

  • Indoor Navigation
  • Autonomous walking maze
  • Route plan
  • Autopilot

Specification

Resources Parameter
Net weight 1980g
Gross weight 2140g
Product Size 142*117*120mm
Package Size 208*208*167mm

Protocol for CarBottomBoard

Protocol Format: Data Header ( command type ) + Data Packet + Data Tail

Control Target Protocol Format Example Function
Wheels 0xAA,SpeedX(-7 ~ 7),SpeedY,SpeedZ,SpeedA,0x55 0xAA, 5, 5, 5, 5, 0x55(Go ahead, speed: 5) ControlWheel(5, 5, 5)
One RGB 0xAB,LedIndex,R(0 ~ 254),G,B,0x55 0xAB, 3, 20, 50, 100, 0x55(3th RGB displays specific color) setLedColor(3, 20, 50, 100)
Front RGB Bar 0xAC,R(0 ~ 254),G,B,0x55 0xAC, 20, 50, 100, 0x55(Front LED Bar displays specific color) setFrontLedBar(20, 50, 100)
Back RGB Bar 0xAD,R(0 ~ 254),G,B,0x55 0xAD, 20, 50, 100, 0x55(Back LED Bar displays specific color) setBackLedBar(20, 50, 100)
All RGB 0xAE,R(0 ~ 254),G,B,0x55 0xAE, 20, 50, 100, 0x55(All LED display specific color) setLedAll(20, 50, 100)
ServoMotor0 0xAF,Angle(0 ~ 180),0x55 0xAF, 100, 0x55(Servo 0 turns angle 100 degree) setServo0Angle(100)
ServoMotor1 0xB0,Angle(0 ~ 180),0x55 0xB0, 100, 0x55(Servo 1 turns angle 100 degree) setServo1Angle(100)

PARAMETER

  • The size of LidarBot: 142mm x 117mm x 120mm
  • Communication Parameter
    • M5Core <-> Lidar (U1RXD(GPIO16) <-> Lidar sensor) Serial Configuration: "115200bps, 8, n, 1"(8 bits data, no parity, 1 stop bit)
    • M5Core <-> Bottom Board (U2TXD(GPIO17) <-> Bottom Board) Serial Configuration: "115200bps, 8, n, 1"(8 bits data, no parity, 1 stop bit)
  • PinMap
    • ServoMotor0 <-> A0(MEGA328)
    • ServoMotor1 <-> A1(MEGA328)
    • RGB LED <-> 11(MEGA328)

EasyLoader

click to download EasyLoader/Bottom

click to download EasyLoader/Remote

1.EasyLoader is a simple and fast program burner. Every product page in EasyLoader provides a product-related case program. It can be burned to the master through simple steps, and a series of function verification can be performed.

2.After downloading the software, double-click to run the application, connect the M5 device to the computer via the data cable, select the port parameters, and click "Burn" to start burning.

Connect And Pair

If you have no map on the screen of your remote, reconnect it.

Control and Display

where the radar cart and handle have matched, Radar car and handle can send messages to each other through EspNow, radar information of radar car can be displayed to handle, handle can also control the trolley movement through EpNow.

  • Normal control mode: move the handle rocker, the trolley will realize forward backward and steering.

  • Omnidirectional Control Mode: Press and hold the handle A key that is the most left on in the handle screen three ons, and then move the rocker to achieve the right and left sideways, but the front and back direction is the other way around.

Connection and Matching

In the unconnected state or if one party is not connected to the other party, there may be problems with the display or control, and we all need to make a new connection.

  • Radar car hold down the C key without putting down the M5Core power on, wait for the screen to restart the end release C on to enter the broadcast mode, all the slave will receive a signal from the host.

  • In the case of the radar vehicle into broadcast mode, we hold down the handle C key and then press the handle power on, wait for the handle restart complete and then release C on to view the current broadcast host on the screen. We select up and down through the A / C key, then press B to determine the Mac address of the host we want to connect to, The host's Mac address can be accessed from your phone or computer to view nearby Wi-Fi, beginning with lidar followed by the host Mac's address.

  • After confirming the host, the host that is the radar car screen will receive the confirmation signal from the slave, also through the ABC key to select and determine the address of the slave. When the B key is pressed, the communication configuration between the radar vehicle and the handle is completed. The two sides can send messages to each other to realize the display of radar map and control of the handle.

The webpage displays radar images

After the radar car is started, there is no need to match the radar car with the handle, you can connect to the radar car Wi-Fi hotspot (SSID:X2Lidar:xx:xx:xx, PWD:12345678), and then access via mobile phone or computer browser 192.168.4.1/map to see the radar image information.

Learn

LidarBot is supported by UIFlow. Welcome to test!

Example

Version Change

Release Date Product Change Note:
2018.12 Initial public release /
2021.5 Use radar model EAI YDLIDAR X2, add sheet metal structural parts SKU K017 -> K017-C Radar ranging speed 8m @ 6Hz -> 8m @ 7Hz

Video

LidarBOT Case