ETH Zurich researchers from Gramazio Kohler Research, the Robotics Systems Lab, Vision for Robotics Lab, and the Chair of Landscape Architecture deployed an autonomous excavator to build a 6-metre-high and 65-metre-long dry-stone wall.
The wall is embedded in a digitally planned and autonomously excavated landscape and park. The team developed this innovative design application as part of the National Centre of Competence in Research for Digital Fabrication (NCCR dfab).
Using sensors, the excavator can autonomously draw a 3D map of the construction site and localise existing building blocks and stones for the wall’s construction.
Specifically designed tools and machine vision approaches enable the excavator to scan and grab large stones in its immediate environment. It can also register their approximate weight as well as their centre of gravity.
An algorithm determines the best position for each stone, and the excavator then conducts the task itself by placing the stones in the desired location. The autonomous machine can place 20 to 30 stones in a single consignment – about as many as one delivery could supply.
