The team of researchers included Gramazio Kohler Research, the Robotics Systems Lab, the Vision for Robotics Lab, and the Chair of Landscape Architecture. They 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 and centre of gravity. An algorithm determines the best position for each stone, and the excavator then conducts the task 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.
See HEAP in action here: https://youtu.be/P7wmotyKgXc
