Technology trends

Robotics in Medical (2021) – Technology Trends Identified by GlobalData

Robotic technologies are expected to help improve the quality of life of elderly patients through non-invasive surgical procedures.

Below are the technology trends impacting Robotics in Medical (2021) as identified by GlobalData.


Artificial intelligence technologies, in particular machine learning, are an integral part of the development of intelligent industrial robots, capable of anticipating and adapting to certain situations based on the interpretation of data from a set of sensors. . New advances are needed in some AI technologies, including computer vision, conversational platforms, and context-aware computing, to take industrial automation and industrial robotics to the next level.

Neuromorphic processors will become an important part of the next generation of robots. They are trained using relevant database libraries and then learn to think for themselves by processing sensory input. These processors will eventually use their learned skills to perform assigned tasks using associations and probabilities.

Advanced Computing

Robotic operations can be performed from the cloud, however, security and latency issues may require robots to process real-time data about their operational environments and react immediately. Edge computing has the potential to improve robot performance through lower latency. It also improves security as the edge is more secure than the cloud. Edge computing will make cyberattacks more difficult when combined with the autonomous “sense-decide act” firmware loops of robotics.

cyber security

One of the main challenges to the widespread implementation of robots is the threat of cyberattacks. Bots, especially those connected to the Internet, are very vulnerable to hacking. Leaving them unprotected can allow unauthorized access to key applications and systems, which can lead to the loss, theft, destruction or misuse of sensitive information.

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The latest industrial cybersecurity management solutions address the risks associated with industrial automation equipment, applications and plants. These solutions enable companies to comply with industry-specific cybersecurity regulations, such as the North American Electric Reliability Corporation Critical Infrastructure Protection (NERC CIP). Organizations can combine IT and operational technology (OT) security efforts and maximize the potential of all enterprise cybersecurity resources by including these cybersecurity management solutions in their security strategy.

industrial internet

The Industrial Internet involves a greater degree of interconnectedness between systems and assumes that monitoring and control data will flow beyond factory boundaries to be consumed and managed by cloud-based services. Existing factories, machines and processes represent the main opportunity for the Industrial Internet.

The greatest short-term gains will come from modernizing the advanced communication and management capabilities of today’s industrial infrastructure. Giving industrial machinery manufacturers the ability to access real-time performance data should allow them to offer new services and support new business models such as preemptive maintenance or robotics as a service (RaaS). ).

Cloud robotics

Advances in AI have enabled the development of robots, allowing them to become highly complex products rather than the autonomous, fixed-function machines they once were, which has increased the number of roles robots can perform. At the heart of this development is cloud computing, which makes it possible to manage sensing, computation and memory more quickly, securely and at scale.

The use of the cloud in robotics has the potential to change the way technology is consumed. The RaaS market includes products that integrate cloud-based management and analytics services with physical robots. Major robot manufacturers have implemented cloud connectivity, allowing robots to be monitored, managed and maintained remotely.

Robotics Centers of Excellence (CoE)

A robotics center of excellence is responsible for the development and implementation of robotic solutions that are efficient, productive and adapted to the needs of industries. The CoE gathers, evaluates and manages information that facilitates the deployment of robotic solutions. A robotics center of excellence needs the right mix of people, including a sponsor, manager, project manager, business analysts, architects, developers, and controllers, in addition to a strong governance model .

A CoE is created to maintain existing organizational momentum and support current and future robotics implementation initiatives. Accuracy is vital in industries such as healthcare, as patient lives are at stake. Several medical facilities in the United States have established robotic surgery CEs to ensure patient safety standards and quality of care are respected.

Open Process Automation (OPA)

Traditionally, robotic components such as controllers were only compatible with products made by the same company. Various organizations strive to free themselves from these limitations and establish an open system that would make robotic components universally compatible, which led to the development of OPA.

The advent of OPA will make process controls more interoperable. It enables technology vendors to work collaboratively with various organizations to produce a standard, secure, and open architecture that can facilitate robotic integration, resulting in vendor-neutral solutions.

Lightweight design robotics and doing less with more

The robots of the 2020s will be smaller and lighter, making them more flexible, easier to deploy and more economical. The lightweight design trend applies to both robot bodies and brains. Several companies are investing in optimized operating systems, software and programming.

Academia is also developing solutions for some of the more complex problems, such as path simplification, which aims to improve how robots navigate their environment. Research on path simplification balances the need for robots to make correct decisions even when information is scarce.

Customizable bots

Robots have become prevalent in different industries, but designing and modeling a robot is tedious, cumbersome and expensive. Additionally, agreeing to a minor change or modification at a later stage can further extend this process. In response, manufacturers are trying to create prototypes of customizable robots.

Soft and self-healing robots

Soft robots are made of soft materials or polymers instead of conventional metal. These materials give robots organic characteristics that mimic the functioning of muscles. Research is underway to allow them to self-heal, which would make them more flexible and adaptable. Self-healing robots are still in their infancy, but research is likely to improve the technology. Currently, this research is mainly focused on improving materials and designing ways for different materials to be compatible in order to avoid chemical reactions. There are multiple potential use cases in healthcare, manufacturing, defense and security for these robots.

This is an edited excerpt from Robotics in Medical Devices, 2021 Update – Topic Search report produced by GlobalData Thematic Research.

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