Robotics

Why now for robotics sensing?

2nd February 2017
Anna Flockett

Advancements in robotics are moving at a very fast pace, spearing ahead the expected proliferation of robots in new and existing applications. Deploying sensors in robotics allows for the creation of robots that can ‘see’ and ‘feel’, in a biomimetic way, just like humans do.

These, sensor enabled, advanced robots are now able to undertake more complicated tasks and are being deployed into industrial, commercial, domestic, logistic and other sectors where robot penetration was previously limited.

The market for robotic vision and force sensing alone is expected to reach over $16.1bn by 2027, as described in the newly launched IDTechEx report Sensors for Robotics: Technologies, Markets and Forecasts 2017-2027. But why are we experiencing such fast adoption at this point in time?

Software advances hand in hand with hardware innovation 
Early robots were limited in performing tasks under highly organised conditions, with increased safety measures, due to their limited perception of any changes in their operational environments. Applying Artificial Intelligence (AI) concepts in robotics, allows for reducing these limitations.

Performance optimisation through robotic sensing is allowing for decision making capabilities of new generations of robots based on processing of sensor data (such as visual, tactile etc.) gathered from their operational environment. Data-driven task performance is allowing for higher precision even under conditions of increased randomness.

In essence, robots with increased awareness are becoming better at performing the actions they are tasked with and capable of performing additional actions, previously thought of as too complex for robotic systems. These improvements are enabling robot deployment in more demanding application spaces, a key explanation for the expected accelerated proliferation of sensor driven robotic systems.

Key enablers of this robotic revolution can be found in both software and hardware development efforts that have allowed for the creation of advanced sensor platforms and processing algorithms, along with intuitive, user friendly interfaces.

Henrik Christensen, the Executive Director of the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology in Atlanta, Georgia, sees tremendous potential for robots coupled with such capabilities, especially as prices are coming down.

He said back in 2015: “We’re getting much cheaper sensors than we had before. It’s coming out of cheap cameras for cell phones, where today you can buy a camera for a cell phone for $8 to $10. And we have enough computer power in our cell phones to be able to process it. The same thing is happening with laser ranging sensors. Ten years ago, a modest quality laser range sensor would be $10,000 or more. Now they’re $2,000.”

All in all, machine vision and force sensing enable the design of more versatile, safer robots for a wider range of applications. Of course, different sensing systems fit different application spaces, hence, the variety of robots under development each have specific requirements and sensor platforms with the right type of features.

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