Sensors for Robotics: Technologies, Markets and Forecasts 2017-2027

LONDON, Nov. 22, 2017 /PRNewswire/ -- Machine vision, force sensing and sensor fusion: Enabling technologies for collaborative robots, advanced mobile robotics and autonomous driving

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The development and deployment of smarter robots that can see, feel, and make decisions based on sensory feedback is expected to have massive societal impact in the next decade, as such systems will target many more market segments than current robotic systems address. In this report, we evaluate the market for sensing systems in robots, including 2D & 3D vision and force sensing, that is expected to reach over $16.1 billion in the next decade. Autonomous vehicles, industrial and collaborative robots are only some of the types of robots that will proliferate and impact all aspects of everyday life, a proliferation made possible only because of the development of the relevant enabling sensing systems highlighted in this report.

The report focuses on sensor technologies and components in robotics applications that are currently under development and are enjoying increased visibility, investment and growth. This is mainly due to the capabilities sensors are expected to enable in robotics. Simply put, smarter, sensor-enabled robots that can make decisions based on sensory feedback are expected to have massive societal impact, as such robotic systems will proliferate in many more market segments than current robotic systems address. Vision systems alone will be a market of $5.7 Billion by 2027, force sensing will reach over $6.9 Billion while the multiple sensors in domestic robots will account for $3.6 Billion, representing almost 30% of their value.

The report focuses on:
- Visual perception sensors, which will remain a key element in the development and growth of the market for robotic sensors as well as key advances in vision-related hardware such as the development of high speed -low noise CMOS image sensors, active lighting schemes as well as the development of advanced 2D and 3D vision. LIDAR systems and others.
- Force sensing which is allowing for improved safety, enabling the roll out of robots that comply with regulatory requirements in limiting forces. This force limiting capability has led to the emergence of robotic systems that can safely work alongside humans.
- At the same time force sensing enables gradations in applied forces at the end-effector, hence widening the range of parts that robots can handle. As a result, we are witnessing an expansion of the use of robotic systems in segments that were previously incompatible with existing robotic systems.

As a result of the introduction of these new features in robots, increased uptake of robotic systems in new and existing sectors and applications is expected; it is due to improved performance and the introduction of robots with new and expanded capabilities. These include but are not limited to communication capabilities, environmental perception, and sensor-enabled mobility which in turn enable concepts such as collaborative robots, advanced mobile robots and autonomous vehicles. The features of these robots as well as their sensor requirements are described in detail in the report.

The effects of the development of the above key sensor technologies are studied and ten year forecasts are given for sensing systems on robotic applications such as:
- industrial and collaborative robotics
- autonomous mobile robotics
- autonomous vehicles and automated driving
- robotic drones
- agricultural robots
- domestic robots

Overall, the timing factor in the above considerations has been critical; a few key technology developments in recent years aligned in order to lead to the growth of robotic sensing we are experiencing. For instance, massive strides in software development and the creation of learning algorithms for data fusion went hand in hand with significant costs reductions in sensor componentry while achieving high performance. These trends, that are expected to continue, have influenced the underlying assumptions in this report, and have shaped the forecasts within it.


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