Grand Opportunity

Robotics and Industrial Automation

Navigating through the technology hype

What is the grand opportunity?

The long-term trend of automating routine manual operations is accelerating, with new technologies for performing traditional human tasks far more efficiently, accurately, and inexpensively. Examples of technologies supporting emerging automation and robotics operations include: drones, augmented, mixed, and virtual reality (AR/MR/VR), autonomous vehicles, robots with sophisticated arms and hands, and 3D printing systems. These emerging game-changing technologies are revolutionising businesses including manufacturing, healthcare, and infrastructure, and CamIn will guide you in making strategic decisions for developing new business opportunities benefiting from these innovations.
90

Billion dollar estimated size of the market for autonomous "last mile" delivery vehicles by 2030.

40

Percent potential reduction in cost at smart-factories that use technologies such as robotics and automation.

Which Industries Will Benefit The Most From Robotics & Industrial Automation Technologies?

Download our latest insight identifying which industries will benefit the most from the robotics & industrial automation over the next two years.
Which Industries Will Benefit The Most From Robotics & Industrial Automation Technologies?

Drones

Image-recognition

Industries are using drones for image recognition and collection functions that can replace manual inspection processes, achieving better, more frequent inspections at a much lower cost. For example, the agriculture industry has begun using drone images and recognition algorithms powered by AI neural networks to identify crop diseases, prescribe treatments, and effectively apply seeds and fertilisers. Drone-based imaging solutions will also replace manual, costly processes in the aquaculture and forest management industries, and may be applicable to the insurance industry in documenting claims involving large-scale damage.

Geospatial Technology

Geospatial technology, a convergence of geographic information systems (GIS), remote sensing, and GPS technologies, will enable drone-based package delivery. The benefits that drones can provide over traditional delivery services include greater speed and the ability to go directly to a precise delivery point, eliminating the need for human personnel driving expensive delivery trucks. Amazon will soon begin trials involving a drone-based delivery service, and similar services may find applications in the healthcare industry, for transferring medical samples to laboratories and for delivering emergency medical supplies in disaster zones.

Autonomous Mobility

Deep Learning

Deep learning is a neural network technology used for the automated recognition and classification of features within video and static images. The interpretation of these digital features is fundamental to the operation of autonomous vehicles, as they can determine free space and valid pathways for an autonomous vehicle to travel. This technology has been quickly adopted for automating the movement of parts and materials in warehouses, which are relatively static environments. It is expected to be adopted soon in other more static environments such as hospitals, factories, and rail for routine autonomous movement of materials.

Reinforcement Learning

Reinforcement learning is a deep learning (neural network) class of algorithms in which an automated system can learn complex behaviours by reinforcing those behaviours after a positive outcomes and penalising bad behaviour. This approach has been applied to the task of autonomous driving by training systems to follow “driving policies” and provided dramatic improvements over complex sets of manually-specified rules. The technology will play an important role as a component of autonomous open road vehicles, such as long-distance freight trucks, and will find use in automating the behaviour of equipment functioning in complex, dynamic environments such as oilfields, shipping operations, and construction sites.

AR/VR/MR/360

Free Computer-enhanced Reality

Free computer-enhanced reality (augmented-AR, virtual-VR, or mixed-MR) development software systems from Google and Apple facilitate rapidly building scenes and environments that previously required elaborate movie or animation production. The training and education industries have been early adopters of these technologies, and the healthcare industry may use such technology to simulate laboratory and surgical processes.  The benefits over previous approaches are lower cost and rapid development.

Haptic

Haptic technology creates the sensation of touch by applying forces, vibrations, or motions to the user. One example of this technology is the vibration that users receive on their smartphones, but more advanced forms of haptic simulations can be achieved through the use of special gloves.  Haptic devices can enable the collection of more accurate data in behaviour experiments that involve virtual reality by creating a more convincing simulation for the participants. Though first adopted by the video game industry, haptic technology is becoming an important feature AR/VR for understanding customer behaviour.

Industrial Robots and 3D Printing

End Effector

An end effector is the device at the end of a robotic arm that is designed to interact with objects and the surrounding environment. These technologies can manipulate objects even more effectively than the human hand, using novel manipulator technologies including magnetics, strong pneumatic grips, or suction grips. End effectors can also include integrated cutting, welding, or impact tools.  Originally developed for manufacturing, these technologies will find important roles in the medical, food processing, recycling, and oilfield services industries.

Nozzle Technology

Innovative nozzle technology and designs are key to the development of additive 3D printing technology. For example, specialised nozzle shapes and electrostatic steering of material greatly influence the speed and accuracy of operation. The first uses of additive printers were in fabricating relatively small, plastic prototype parts. Advances in nozzle technology are creating new applications for 3D printing technology, ranging in scale from microscopic additive fabrication methods to macro-scale processes suitable for building construction.

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