590 Views

Autonomous Robot Digger Constructs Massive Dry Stone Wall from Random Rocks

LinkedIn Facebook X
November 24, 2023

Get a Price Quote


Autonomous Excavator Constructs Dry-Stone Wall

Researchers at ETH Zurich have achieved a significant milestone in the field of autonomous construction. They have trained an excavator to construct a dry-stone wall using random rocks and building waste. The wall measures 65m in length and 6m in height.

The excavator, known as Heap (hydraulic excavator for an autonomous purpose), is a customised Menzi Muck M545 equipped with various sensors including cameras, lidars, inertial measurement, satellite navigation, and joint angle sensors. These sensors enable the excavator to autonomously create a 3D map of the construction site and identify suitable building blocks and rocks for the wall.

By scanning the stones, the excavator is able to estimate their weight and centre-of-gravity. An algorithm then matches these known stones to the remaining locations on the growing wall. The researchers explained in a paper that their geometric planning algorithm uses a combination of constrained registration and signed-distance-field classification to determine the optimal positioning of the stones for stability and shape.

The excavator's efficiency is impressive, as it can place 20 to 30 stones in a single consignment, which is equivalent to the supply of one delivery. This makes the construction process faster and more streamlined.

The dry-stone wall is part of a digitally planned park that is being built gradually by the autonomous excavator. The wall retains robotically contoured terraces and stands near a 10 x 4 x 1.7m freestanding dry stone that the machine also constructed.

The research paper titled "A framework for robotic excavation and dry stone construction using on-site materials" provides more details on the project. However, only the abstract is available without payment.

Recent Stories


Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.