Multiple drones collaborate to 3D print a house, and the research appears on the cover of Nature

We can often see bees, ants and other animals busy building nests. After natural selection, their work efficiency is astonishingly high

The ability of these animals to divide and cooperate has been "passed on" to drones. A study from Imperial College London tells us Showing the future direction, like this:

Drone 3D dusting:

This research result appeared on the cover of "Nature" on Wednesday.

##Paper address: https://www.nature.com/articles/s41586-022-04988-4

To demonstrate the capabilities of the drones, the researchers used foam and a special lightweight cement material to build structures ranging in height from 0.18 meters to 2.05 meters. The error compared to the original blueprint was less than 5mm.

To prove that the system could handle more complex drone formations, the team created a light-trace time-lapse using lights on the drones sequence, simulating the creation of a tall dome-like structure.

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Mirko Kovac, the leader of the research and director of the Aerial Robotics Laboratory at Imperial College London, said: This method could be used to build buildings in the Arctic or even Mars, or to help repair normally expensive Scaffolding for high-rise buildings.

However, the technology is currently subject to some limitations, as drones are difficult to carry heavy loads, require regular charging, and still require human supervision. However, the researchers say they hope to alleviate some of these issues by automatically charging the drones during research projects.

How is drone 3D printing implemented? In this regard, researchers have constructed a sophisticated system.

Research Introduction

To improve productivity and safety, robot-based construction technologies have been proposed for the assembly of building components and free-form continuous additives Manufacturing (AM, additive manufacturing). Compared to assembly-based methods, free-form continuous AM enables the flexible production of geometrically variable designs with high efficiency and low cost. However, these large systems need to be connected to a power source, are inconvenient for inspection, maintenance, and repair, and are difficult to manufacture in harsh environments.

As an alternative to large individual robot systems, small mobile robots can offer greater flexibility and scalability. However, research into using robot formations for construction is still in the early exploratory stages of development. In addition, the current operating height of multi-robots is limited and cannot operate beyond a certain range. The figure below shows a comparison between SOTA robotic platforms developed for AM in the construction industry.

Natural builders have shown greater adaptability when building than current robotic systems and their inherent limitations, with many Do this with the help of fly-in and additive construction methods. For example, a swallow can make 1200 flights between the source of materials and the site of construction to gradually complete the nest. Social insects such as termites and wasps demonstrate a greater degree of adaptability and scalability: Aerial construction by social wasps demonstrated efficient and direct path optimization, easing the need to navigate throughout the construction process.

These natural systems inspire approaches to collective construction using multi-agents that require solving multi-agent coordination problems beyond currently available technologies. In addition to collective interaction methods for multi-robot systems, material design and use and environmental manipulation mechanisms must be integrated and co-developed to enable cooperative construction.

The system proposed by Imperial College is called Aerial-AM, which combines biological cooperation mechanisms with engineering principles and uses multiple drones to achieve it.

The UAV team’s realization of autonomous additive manufacturing requires the parallel development of a number of key technologies, including: 1) Aerial robots capable of high-precision material deposition and print quality, and real-time qualitative assessment ; 2) Aerial robot teams can broadcast their activities to each other and share data wirelessly without interfering with each other; 3) Autonomous navigation and task planning system, combined with printing path strategy to adaptively determine and allocate manufacturing tasks; 4) Design or selection of material planning , specifically a lightweight and printable cement mixture suitable for aerial additive manufacturing methods without the need for formwork or temporary scaffolding.

Aerial-AM uses two types of aerial robotic platforms, called BuildDrone and ScanDrone. The BuildDrone is used to stack physical materials, and the ScanDrone is used to perform augmentation after each layer of material is deposited. Aerial scanning and verification observations. Both robotic platforms are coordinated on their respective workflows via a distributed multi-agent approach. The build cycle includes in-flight print performance characterization of the BuildDrones and ScanDrone, real-time trajectory adaptation and material printing of the BuildDrones, and validation of print results with ScanDrone and human supervisors.

Figure 2. Aerial-AM framework for unconstrained and unbounded AM.

The multi-agent Aerial-AM framework proposed by the new research consists of two loops, running on the slow time scale of planning and the fast time scale of real-time operation, using for manufacturing and progress observation. In a proof-of-concept, researchers used a ScanDrone airborne vision system to perform 3D scans to map progress, building a large cylinder out of expanded foam material.

Figure 3. Aerial-AM BuildDrone prints 2.05 m high cylindrical geometry with 72 passes of material deposition, and real-time print evaluation by ScanDrone.

## Figure 4. Two BuildDrones 3D printing thin-walled cylinders using an error-compensated delta robot to deposit cement Material.

Figure 5. Aerial-AM multi-robot optical track virtual printing dome-shaped rotating surface. a, c are flight trajectories, b, d are top and perspective views. f shows simulation results using 15 robots to print an enlarged version of the geometry with a base diameter of 15 m.

Using BuildDrone’s material deposition and ScanDrone’s real-time qualitative assessment of printed structures, researchers successfully printed cylinders up to 2.05 meters high, demonstrating the Aerial-AM method of manufacturing Ability to handle large geometric objects. Experiments on the fabrication of cementitious thin-walled cylinders demonstrated that the coupling of a self-aligned parallel delta robot with a BuildDrone allows the deposition of material in the lateral and vertical directions with high precision (maximum 5 mm position error), a level well within the limits allowed by UK construction requirements .

Virtual light track AM and simulation results show that the Aerial-AM framework can effectively print a variety of geometries through parallel multi-robot manufacturing while resolving congestion and completing autonomous tasks under abnormal conditions. adapt.

While these experiments successfully demonstrated the feasibility of Aerial-AM, they were only a first step in exploring the potential of using aerial robots for construction. Researchers said that in order to realize 3D printing of houses with drones, significant progress is needed in robotics and materials science, especially in cutting-edge areas such as the deposition of support materials, the solidification of active materials, and task sharing among multiple robots. develop.

As for the UAV itself, in order to bring the research results out of the laboratory, researchers are planning to implement multi-sensor simultaneous positioning and mapping (SLAM) with differential global positioning system (GPS). ) system to provide adequate outdoor positioning.

Once practical, Aerial-AM may provide an alternative way to support housing and critical infrastructure in remote areas.

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