AI & ML Applications for Robotics

Huge algorithms and datasets go into the process of evolving the robotics potential into a human-like vision.

The technological revolution in the twentieth century changed the outlook of the world forever. Technology is now accessible to people sitting in homes and not only limited to laboratories and research institutes. The new realm of electronics, telecommunications, automation and computing are the driving forces, rather than the mechanical systems of the previous century. In the early 1900s there were almost no telephones, but at the dawn of the millennium mobile phones were an everyday sight; Computers were almost unheard of a hundred years ago, but have become universal. We are now at the cusp of a new technological shift of equal significance: the robotics revolution. The revolution will set the 21stSt century in a pivotal position in history. More importantly, it will irrevocably impact all our lives and the lives of future generations.

When we think of robots, we think of them to be human, to have limbs, to walk or to talk. But there is a much more interpretation of what a robot is. Robots are increasingly seen as the interface between AI and humans by the big tech companies. A growing number of businesses worldwide are taking advantage of the transformative capabilities of machine learning, particularly when applied to robotic systems in the workplace. The boundaries between smart materials, artificial intelligence, embodiment, biology and robotics are blurred. The goal of using artificial intelligence and machine learning for robotics is to produce machines with abilities that go beyond humans.

The effective combination of robotics, artificial intelligence and machine learning is opening the door to entirely new automation possibilities. The evolution of robotic intelligence shows a wide range of hierarchy since the time it was first created. Introduced to be deployed in factories for industrial use, it is not easy to find a sector where robotics is not used today. In the initial days of its advent, robots were only designed for performing a trained set of repetitive tasks. Back then, robotics was operating exclusively on artificial intelligence and machine learning. The 2000s trace the utilization of artificial intelligence in digitally programmed industrial robots. The global scenario has changed a lot since then. Scientific integration of machine learning (AI) and robotics has been developed to advance the alleged ambition of robotic intelligence, which allows it to achieve a healthy human vision to detect strong stimuli.

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Precise machine learning processes are used to train robots and improve accuracy. Artificial intelligence teaches functions such as spatial relations, grasping objects, computer vision, motion control, etc., in robots to make them understand and operate on unseen data and situations.

The current generation of blending machine learning and robotics allegedly seems to be the most powerful combination in the history of technological innovations. An entirely new era of automation is set to destroy every possible institution of human civilization. AI-driven robots are considered more efficient than the ones without this technology. For example, the industrial sector stands as the biggest consumer of functions like robotics and further automation, saving time and human effort and ensuring validity, accuracy and minor errors. AI provides robots with adequate computer vision and motion control to better understand the environment and act accordingly.

Similarly, machine learning conditions the robots in such a way that with time evolution, they learn from their own mistakes, thus preventing constant human intervention and parallel effort. This ensures adaptability in robotics. Along with these implications, AI and ML certainly make manufacturing activities more efficient, especially for large labor-intensive companies; It also improves the available potential of robots.

Applying machine learning and artificial intelligence in robotics in various sectors-

  1. health and medicine –

AI robotics is transforming the healthcare market. ML-driven robotics is already a massive part of the healthcare chain, including function testing, surgery, research, data integration, etc. The hospital, and design custom health tasks for patients. AI and robotics help the healthcare sector by providing assisting Robots, precise diagnosis and remote treatment. Proactive analysis of robots allows them to detect minute and complex patterns in a patient’s health graph. Robots driven by machine learning are actively used in hospitals for micro-surgeries such as unclogging blood vessels. One of the biggest gifts of AI robotics to the healthcare industry is its operation in remote areas. Treatment in remote areas has been a major loop in the medical sector for a long time. Robots can solitary carry out some clinical tasks.

  1. agriculture-
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Integrating AI, ML and robotics provides farmers with useful insights to improve their farm productivity. By achieving this information, farmers ensure high yields and low operational costs, thus stepping to farm success. The primary fundamental of introducing robotics in farms is cutting down labor efforts by automating farm activities like irrigation, seed distribution, pest control and harvesting. This gives the growers much more time to focus on productive tasks. Emphasizing a major advantage of robotics of ensuring precision, it helps to reduce wastage of land potential, thus making room for efficient land use. Robotization of the green economy can help monitor quality enhancement, environmental conservation, and so on. The agricultural colony is gradually shifting to these technologies, ensuring huge farm success in the wider picture. This creates a need for continuous growth in AI-generated robots to improve the global agriculture scenario.

  1. warehouses-

Large companies with even larger warehouses are big consumers of robotics, because it cuts operational time and intermediate costs. High-tech sensors allow the automated devices to work independently in the huge warehouses. These sensors include visual, auditory, thermal sensors. The sensors are the decision-making body of the robots. Automated guided vehicles (AGVs) are used for transporting stock from one location to another in a warehouse. The corporate world today works day and night and therefore the presence of systems like AGSs support 24*7 working with similar costs. Aerial drones are another innovation used in warehouses that support quick scanning and optimization of current inventory at any time and with minimal effort. There are several clear benefits of adopting robotics – minimal errors, adaptability, safety, etc. Robots are trained human-like figures that operate on acquired algorithms, thus avoiding mistakes. An example of machine learning involves picking and placing over 90,000 different Part types in a warehouse This volume of part types would not be profitable to automate without machine learning, but now engineers can constantly feed robots images of new parts and the robot can successfully grasp the part types.

  1. cars –
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The role of robotics has a whole network of applications in the automotive industry ranging from designing, supply chain and production activities to a whole set of management activities. Systems like driver assistance, autonomous driving and driver risk assistance are implemented in transportation for automobile industries. The automobile industry has been using robotic intelligence for more than 50 years. The only change from then to now is the rise of AI and ML in the industry, which is drastic. The advantages of robotics in automobiles are widespread-

  • Robotics provides an accurate vision for locating the required items. Basic errands like installing door panels, fenders, etc. can be easily done by robots.
  • Assemble machine devices like motors, screws, pumps, etc.
  • Robotic arms can be deployed in painting and coating.
  • Along with assembling segregated parts, robots can also transport the parts, including loading and unloading.

The current global scenario shows the widespread prevalence of innovations and suggests the constant demand for improvement and adequate awareness even in the remotest areas. Development in AI and ML robotics is on the massive influx. Artificial intelligence is not a luxury but a necessity that will come forward in the upcoming decades. Robotics with artificial intelligence and machine learning is all set to disrupt every sector, from pins to rockets.


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