Decentralized Artificial Intelligence in Distributed Computing and Robotics.
 
 

Swarm Technology provides an advancement in the area of distributed artificial intelligence with a clear focus on dynamically scalable collective awareness.

 
 
 
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We have exhibited our first-generation swarm-intelligent robots at:

International Conference on Intelligent Robots and Systems (IROS) 2017

Vancouver, Canada, September 24–28, 2017


We are currently developing fully autonomous, GPS-enabled, GSM-connected, cost-effective rovers for the purpose of systematic landmine clearance, the same swarm-coordinated navigation will be applied to agriculture and autonomous vehicles.


We will exhibit our GPS-enabled, cloud-connected swarm-intelligent robots at:

IoT Tech Expo North America 2017

Santa Clara, California, November 29-30


Internet of Things World 2018

Santa Clara, California, May 14-17, 2018


Speaking engagement:

Topic: "Distributed Artificial Intelligence in Robotics" by  Swarm Technology's founder Alfonso Iniguez

4th Global Summit and Expo on
Multimedia & Artificial Intelligence
July 19-21, 2018 Rome, Italy


PROBLEMS TO SOLVE


distributed Processing

Is it possible to perform dynamically scalable distributed processing using heterogeneous processors?

LIMITATIONS

Current solutions allow distributed processing using heterogeneous processors, but are not dynamically scalable.


autonomous robots

Is it possible to build swarm-intelligent robots that allow limitless scalability and endless resiliency?

limitations

A current approach allows scalability and resiliency but lacks swarm-intelligence, as it falls into the realm of flocking. See Harvard University's 1024 Kilobots.

Another approach uses a central computer which allows some coordination, but lacks limitless scalability and endless resiliency. See Intel's 500 Drone Light Show.

SOLUTION

 

We have modeled social insect collective intelligence into an architecture and algorithm that we named

Solidarity Cell Architecture.

 
 
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The patented Solidarity Cell Architecture enables dynamic-scalable heterogeneous distributed computing, collective intelligence, and intent-based automation at scale with limitless scalability and endless resiliency.

More specifically, this architecture operates using the five principles of swarm intelligence:

Awareness, Autonomy, Solidarity, Expandability and Resiliency.

 

Our purpose is to provide a scalable architecture that enables swarm intelligence in Distributed Processing and Robotics

 

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Dynamic-Scalable Edge Computing

Examples:

Self-expanding networks

IoT edge processing

Compute power decentralization

 

Swarm-Intelligent Robots

Examples:

Ground-air reconnaissance

Precision agriculture

Distribution center automation

Distributed Artificial Intelligence

Examples:

Collective machine learning

Automation at scale

Autonomous-agent networks

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