US 11,378,975 B1 · Autonomous navigation technology

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer -storage media, for swarming technology. In some implementations, the system can be modeled on the spatial reasoning process found in rodents and other mammals. A plurality of synaptic weights can be formed within a neural network. The neural network along with additional data of a system can be used to determine motion vectors for one or more devices within a group of devices or swarm. The motion vectors can help determine where the devices within a group of devices are located at a given time. Motion vectors can direct devices to areas of high activity in a similar manner to how spatial cells in a brain direct animals in accordance with high activity rates of particular cells within their brain.

Claims20

Dependent claims

A method for decentralized robot swarm navigation, the method comprising:

for each particular robot of the swarm:
determining a plurality of robot-based synaptic weights within a neural network, wherein each of the plurality of robot-based synaptic weights represents a distance based relationship between the particular robot and another robot of the swarm that is visible to the particular robot;
determining a plurality of objective-based synaptic weights within the neural network, wherein each of the objective-based synaptic weights represent a distance based relationship between the particular robot and an objective;
updating the plurality of robot-based synaptic weights and objective-based synaptic weights using the neural network and additional data, wherein the additional data is comprised of oscillating signals from at least one robot;
determining a motion vector that defines movement for the particular robot based on the updated weights;
and
adjusting a current location of the particular robot to a subsequent location based on the determined motion vector.

4 more elements

A system for decentralized robot swarm navigation comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
for each particular robot of the swarm:
determining a plurality of robot-based synaptic weights within a neural network, wherein each of the plurality of robot-based synaptic weights represents a distance based relationship between the particular robot and another robot of the swarm that is visible to the particular robot;
determining a plurality of objective-based synaptic weights within the neural network, wherein each of the objective-based synaptic weights represent a distance based relationship between the particular robot and an objective;
updating the plurality of robot-based synaptic weights and objective-based synaptic weights using the neural network and additional data, wherein the additional data is comprised of oscillating signals from at least one robot;
determining a motion vector that defines movement for the particular robot based on the updated weights;
and
adjusting a current location of the particular robot to a subsequent location based on the determined motion vector.

5 more elements

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

for each particular robot of the swarm:
determining a plurality of robot-based synaptic weights within a neural network, wherein each of the plurality of robot-based synaptic weights represents a distance based relationship between the particular robot and another robot of the swarm that is visible to the particular robot;
determining a plurality of objective-based synaptic weights within the neural network, wherein each of the objective-based synaptic weights represent a distance based relationship between the particular robot and an objective;
updating the plurality of robot-based synaptic weights and objective-based synaptic weights using the neural network and additional data, wherein the additional data is comprised of oscillating signals from at least one robot;
determining a motion vector that defines movement for the particular robot based on the updated weights;
and
adjusting a current location of the particular robot to a subsequent location based on the determined motion vector.

4 more elements

Dependencies are inferred from the claim text.

Autonomous navigation technology

Life of this patent

Autonomous navigation technology

Life of this patent

Abstract

Claims20