An Autonomous Rover

By on January 12, 2022
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The Autonomous Rover travels from one location in my house to another location in my house, with no help from a human. I designed it to

experiment in robot autonomy.

To perform its task, the AR (short for Autonomous Rover) integrates three major capabilities:

  • Localization — determines its current location in its environment
  • Navigation — determines the optimal path from its current location to a target location
  • Locomotion — moves along the path from the current location to the target location

Three things…. Sounds pretty simple, but the devil is in the details. With my fully custom design, using hobby-grade mechanical and electronic components, and my limited experience in autonomous technologies, it proved difficult, but both fun and educational.

In truth, the AR is still a work in progress. However, the AR can currently localize with modest accuracy, plan a path perfectly, and move along a rather complex path with remarkable accuracy. Thus, I think that the collection of hardware and software, and lessons learned, might help others with similar goals. At the same time, the AR should make an interesting entry in the current Robots contest; please consider voting for it.

This Instructable first de scribes in detail the implementation of the capabilities. The capabilities are covered in three sets of steps that follow:

  • Locomotion: Describes how a 4-wheel drive platform equipped with an IMU is used to accomplish locomotion. See steps 1-4.
  • Localization: Describes how a LIDAR subsystem (a servo-mounted LIDAR sensor) is used to accomplish localization. See steps 5-12.
  • Navigation: Describes how software is used to accomplish navigation. See steps 13-19.

Locomotion and Localization include hardware components. For hardware, I discuss the components, criteria for selecting them, and relationships to other components. Worth noting is that the hardware components were chosen as long as three years ago. In some cases, the components I chose may no longer be the best choice, or in fact, may no longer be available. A key hardware component is a Raspberry Pi that provides the brains for the AR.

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About Emanuele Signoretta

Studying electronics and communication engineering at Politecnico di Torino. Electronics, IT and Open Source enthusiast.

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