A drone could be used to carry out a range of tasks, such as spraying crops, watering lawns, or controlling weeds.
In an ideal world, drones could also take over from human hands in a variety of situations, from farming to landscaping, said Ben Schoenberg, an associate professor of computer science at the University of Southern California.
“There’s a lot of things you can do that are already happening on a much larger scale,” he said.
“It’s really the next big thing in the world of computing.”
Schoenberg and his colleagues, who have been working on drones for years, have developed a new system to control a drone in an indoor setting.
They are developing a drone platform for a product called Aurobot that would be able to control drones in indoor settings.
The Aurobots platform is similar to what’s currently being used to control indoor drones.
It uses a sensor that can detect objects that are within a certain distance.
If a sensor detects a movement, the drone will start to move.
If the drone’s moving enough, the sensor detects an obstacle and fires a laser at it.
The laser can then guide the drone toward the target.
The new drone platform is also able to detect obstacles and steer the drone to the correct target.
In an indoor situation, a drone could also be used for remote maintenance or surveillance, said Schoenheim.
For example, if the drone is in a room, it could be able do maintenance on the door and the drone could use a remote controller to operate the door, Schoenburg said.
Schoenberger said he has been working with companies that are interested in using drones to perform these tasks for years.
The biggest problem, however, is that they are too expensive to purchase, and they can be difficult to operate, he said, adding that the drones are not as secure as they should be.
“The thing is, the more expensive the drone, the harder it is to control it,” he added.
“If you have an expensive drone, there’s a better chance of someone hacking into it, or worse, you could get yourself killed.
You need to have a security model that’s very secure.”
To create AuroBot, Schönberg and the team developed a drone sensor that works with the drone platform.
A sensor that senses movement is sensitive to vibrations, which the team is using to control the drone.
In a typical indoor environment, the robot would be operated with two hands.
The sensors can be set up in any configuration and can be adjusted to provide a specific movement, which is key to the system’s operation, Schönberg said.
For example, a sensor could be set to detect movement in the air, which would allow the drone operator to steer the robot to a specific location.
Another sensor could detect movement on a surface and steer it to a desired location.
In another scenario, a controller could be controlled by the drone and the operator would use the controller to move the drone around, he added, or a remote control could be utilized for controlling the drone in certain locations.
“We’ve had some success with this platform,” he told ABC News.
“We’re starting to get to the point where we’re able to get a lot more data about this platform, a lot better control over the drone.”