Emerging Robotic Technology Trends

The combination of Artificial Intelligence (AI) and Machine Learning (ML) is the major catalyst for the triumphant integration of robotics technology inside the realm of the Internet of Robotic Things (IoRT). However, it is the rapid and significant expansion of the market for Autonomous Mobile Robots (AMRs) that is moving this revolution ahead.

The current situation is the turning point in industrial robotics. The experts around the world are suggesting that five correlated robotics technology trends are emerging to develop into a single system. This will generate a system in which intelligent devices can perform additional functions. 

The robotic technology trends are:

  • Autonomy 
  • Intelligence 
  • Mobility 
  • Cybersecurity 
  • Adaptability 

These five trends will combine to develop a single system in which devices can detect the events occurring around them. This system has got a term and that term is ‘Internet of Robotic Things’ .

The combination of Artificial Intelligence (AI) and Machine Learning (ML) is the major catalyst for the triumphant integration of robotics technology inside the realm of the Internet of Robotic Things (IoRT). However, it is the rapid and significant expansion of the market for Autonomous Mobile Robots (AMRs) that is moving this revolution ahead.

Autonomy:

The rise of intelligent and transportable self-driving robot systems, cars, and warehouse/logistic technologies represents a significant advancement in the sector. Robot densities, which were previously assessed by the number of robots per 10,000 workers, will henceforth be measured by the number of "smart" robots per 10,000 workers. This move is expected to result in a significant gain in operational speed and productivity.

Deep learning, radar, LiDAR, and vision systems are critical components of this transition. These breakthroughs cleared the way for sensors and algorithms capable of autonomous object detection, classification, and distance calculation. Furthermore, perception technologies are becoming increasingly important in the domains of behavior planning, route planning, and motion planning.

Customers' preferences are likely to shift when the era of autonomous robot systems dawns. They will opt for more extensive modular systems rather than acquiring single core robot systems (arms, controllers, and end-of-arm tools). These include, in addition to the fundamental components, edge controllers, machine vision software, AI capabilities for smart and autonomous jobs, and other new breakthroughs.

Intelligence and mobility:

The combination of intelligence and mobility will be a game changer for robotics in the future. If we look at the current global scenario, we see that there are disruptions in delivery cycles, constraints in e-commerce sector, shortage of manual labor. Factories and warehouses had to upgrade by considering automation as a solution. This adoption of automated and its advancements is going on in the current year.

Robots will be enabled to navigate unaccompanied and deal with unexpected scenarios thanks to artificial intelligence. Swarm intelligence will increase the adaptability of mobile robots by allowing them to interact, share duties, and adjust on the go. Robots will be able to do independent inspections, conduct analysis, and execute accurate motions thanks to the integration of modern imaging technologies.

The introduction of 5G communication networks will be critical in amplifying these capabilities. These networks will dramatically increase mobile bandwidth, extend robot operational radius, and provide new opportunities for seamless communication.

Cybersecurity:

The advancement of technology has led to rise in the implementation of automation in the industries. Within a hyper-connected environment, the predominance of industrial settings typified by robots at the heart, engaging in direct one-to-one contact with humans, is increasing. The robotics sector is trying to reduce the risk of cyber attack.

In today’s world robotics and cybersecurity are both highly discussed topics . 

There are different issues such as:

  • Data protection 
  • Robotic security and safety 
  • Network security 
  • Supply chain concerns 
  • Artificial intelligence and machine learning risks

To overcome such concerns, robotics makers, developers, and researchers must collaborate closely with cybersecurity specialists to build comprehensive security measures and best practices. Regular software upgrades, encryption, secure authentication techniques, and continuous monitoring of robot systems are just a few of the elements that can improve robotics' overall cybersecurity posture.

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