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About / Robotic Revolution

We are at the heart of the Fourth Industrial Revolution.

Like steam power, mass production and digital communications before us, our artificial intelligence for robots is changing the world.

A revolution in robotic usage

A new generation of robots is emerging – robots capable of travelling and working autonomously. Whether it’s planning their mission, learning from past experience, responding to challenges as they occur, or working as part of a team – they have the intelligence to deliver real change.

Cogniteam is at the cutting edge of this Industrial Revolution.  


Demand for autonomous robots is growing exponentially, for a wide variety of applications:

Through Nimbus, we provide a complete library of software solutions for autonomous robots in all of these sectors and environments.


Benefits of autonomous robots

Unlike their predecessors, autonomous robots don’t rely on precisely defined instructions or physical guidance (such as wires in the ground) to fulfill their tasks. This ability to do their own planning, to work as a team and to respond to ‘matters arising’ makes them suitable for a much wider variety of situations. Autonomous robots can also learn from past experience, to deliver huge productivity improvements.


As humans, we set and manage the robot’s mission. We tell our robots what needs to be achieved, but we don’t dictate the detail.  The robots use their navigational and decision-making capabilities to fulfill the mission in the best possible way. 

These decision-making intelligence and navigational algorithms are available through Cogniteam’s Nimbus platform.

4. Communicate

The sensors on Robot A identify that one area of the mall is particularly dirty and alerts the other robots. They then re-plan their mission collectively and in real-time to allow for extra cleaning of that area. Robot A spends more time there, while Robots B and C cover Robot A’s other tasks.

5. Decision making

As the following clean, the same area is again dirtier than others. The robots learn that they should allocate more resource to that area as the base case in their future missions.

6. Self learning

In time they connect with Big Data and map their experience against weather, local sporting events and retailer promotions. They learn that the use of the mall changes with external drivers, pre-emptively planning their mission resources for optimum outcome.

Let’s follow a team of autonomous robot’s fulfilling their mission

Task: Operator sets the mission for a team of 15 robots to clean a shopping mall

1. Mapping

The robots map the area, reading information from their sensors to define the area they need to clean and identify obstacles.

2. Deploy

The robots are deployed to clean the area. They plan their mission and allocate tasks between themselves to ensure that all areas are cleaned.

3. Detection

As they begin to clean, their sensors detect a box left in their path. The robots work around it, and know to go back later.

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