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AI Outlook: How AI Technology and Robotics Will Continue To Evolve

A Nexxis-branded autonomous mobile robot

Robotics and artificial intelligence (AI) are sometimes thought of as interchangeable concepts. Though that’s not quite true, these two fields definitely complement each other. 

While robotics involves automating movement and physical activity, AI is more concerned with creating neural network models comparable to those found in the human brain.

In this article, we explore the intersection of these two concepts and examine some of the important developments occurring in this space.

AI advancements 

AI is ultimately a matter of inputs and outputs. By feeding an AI certain inputs for analysis, such as data or sensory information, it’s able to deliver outputs. Examples of these outputs include the responses you receive when communicating with a chatbot or the performance of a mechanical task by a robot equipped with AI. 

At present, there are two common ways to achieve artificial intelligence.

Machine learning 

In this method, data is fed to an AI to help it learn. The AI then uses pre-defined algorithms to identify patterns in the data and produce outputs, like predictions or decisions. The more data provided, the better the outputs will become. When robots are paired with machine learning AI, they gain the ability to respond to their environment and learn from it over time. 

Deep learning 

In contrast, a deep learning AI develops its own algorithms using many-layered neural networks. It then applies these algorithms to huge data sets. Through this process, the AI is able to identify the optimal method for performing any given task. Robots leveraging deep learning AI can respond dynamically to their environment and can operate with relative autonomy.

A drone flying across an Arctic environment.

Robotics evolution

Autonomous Mobile Robots (AMRs) are at the forefront of AI-empowered robotics. They use AI as follows:

  1. Data is collected via 3D cameras and Light Detection and Ranging (LiDAR) sensors, allowing the AMR to develop a 3D map of the environment it occupies.
  2. The collected data is analysed algorithmically. 
  3. The AMR will then evaluate its findings with reference to the mission assigned to it.
  4. Finally, the AMR will select a course of action that balances these factors and achieves the best possible outcome.

Here are some examples of how AMRs are used across various industries: 

  • Energy: Inspection AMRs, like our RMIS MAXI (16×16), can conduct inspections in conditions and environments not safe for human operators.
  • Mining: Underground mining AMRs, like Sandvik’s AutoMine, can haul iron ore while maximising both productivity and safety. 
  • Shipbuilding: Transportation AMRs, like Konica Minolta’s MiR1350, can transport heavy parts, equipment and tools from point A to point B through sprawling shipbuilding facilities.
  • Construction: Land surveying AMRs, like DJI’s Matrice 350 RTK drone, can undertake aerial mapping activities and collect accurate data on conditions, distances and elevation.
  • Military defence: Surveillance AMRs, like Ghost Robotics’ Vision 60, can navigate rough terrains to conduct reconnaissance missions and remote inspections.

Future outlook

Now that AI has become part of everyday life the next frontier is Artificial General Intelligence (AGI). Whereas AIs tend to have skillsets based around specific tasks or industries, AGIs are expected to have a broader knowledge base that approaches human-levels of understanding. When combined with robotics, this will open up a whole new world of possibilities. In fact, experts believe that training these AGI-equipped robots will be more like teaching a child than programming a machine. 

All that being said, no AGIs have been created yet, largely due to their technical complexity. For now, we can only specualte on what they will be able to achieve.

Conclusion

The evolution of AI and robotics continues to shape the industrial landscape. New levels of safety and productivity have been made possible by intelligent robots. As a result, humans now have more time to focus on the creative tasks that only they can perform. 

Are you curious about the role robots could play in your workplace? Our team is always happy to chat. Get in contact with us today with any questions you may have and we’ll get back to you soon.

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