Selfmade Robot

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The self-built robot serves as a test platform for different robot control approaches. In the autonomous approach, the LiDAR sensor – which is attached to the robot – is used to map the robot’s surroundings via a SLAM algorithm. Based on this map, the robot can navigate autonomously. We also use gesture-based approaches to control the robot. In these, the robot’s control commands are computed based on hand gestures captured via a camera or a IMU sensor.

Components

Sensors:

  • RPLIDAR A2M8

  • RealSense Depth Camera D435

  • Intel Realsense Tracking Camera T265

  • Turnigy 9X 2,4 GHz 8Ch Receiver (V2)

Power Supply:

  • VARTA Slim Power Bank – 18000 mAh

  • Samsung 18650 10S2P Akkupack – 4400 mAh

Other:

  • 2 x 6,5“ Hoverboard motores

  • Nvidia Jetson Nano

  • Arduino Mega 2650

  • ODRIVE V3.6

Links

Videos

  • Research videos using the robot will be presented here. 
 

Publications

  • Publications about the robot as well as related topics will be found here.

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