Tag: Robotics

The term robot was invented by the Robotics Institute of America in the late 1940s as a machine that executes mechanical functions just like human beings but lacks the same “sensitivity” as a human.

Initially, robots were designed and employed to work like humans, especially in the manufacturing industry, FMCG industry, and automotive industry, but later, robotics engineers observed that they were capable of working in other application areas due to their ability to multitask efficiently and faster. Hence, robotics engineers introduced medical robotics into the healthcare sector, causing a drastic change in the outlook for treatment and diagnostics.

With advances in technologies, the utilization of robotic devices has upscaled from spearheading lab tests to automating medical procedures to collaborative robotics (cobots), helping healthcare workers in surgeries and improving treatment outcomes with negligible error encounters.

This exclusive AI Tech Park article focuses on the application of cobots in healthcare while keeping ethical considerations in mind. In addition, we will also focus on the ongoing research and development of robotics in healthcare.

Application of Collaborative Robots in Healthcare

In this section, we will highlight the application areas where collaboration between robots and healthcare practitioners can improve healthcare outcomes, such as helping with surgeries or offering personalized patient care. The below subtopics explore the different aspects of collaborative robots with humans.

Cobots in Rehabilitation and Physical Therapy

The rehab cobots are developed to help impaired and injured patients recover from accidents so that they can lead normal lives. One will find a variety of rehab robots that are intended to help patients with numerous medical conditions, including cerebral palsy, stroke, and injuries to bones or muscles. One such example is Orthoses, a robotic exoskeleton system that assists paralyzed patients in limb movement. This system works on “pre-set user-defined commands” that are fed into the robot to read the user’s mind and act accordingly.

Some studies show that children with autism spectrum disorder (ASD) have a positive reaction to therapies when interacting with cobots, as they have various AI functions such as playing games and recognizing facial expressions that keep patients motivated and entertained throughout the therapy journey. For instance, the Keepon robot developed by Hideki Kozima is a unique robot that studies autistic behavioral changes in children and monitors their overall health.  

Cobots in Precision Surgery

With the advancement of technology, cobots have been assisting surgeons in critical operations. These surgery cobots are categorized under Active Surgical Systems, which pre-program electronics and can work autonomously; Master-Slave Systems, which are totally under the control of surgeons; and Semi-Active Systems, which allow surgeon-driven electronics with pre-programmed electronics. The most commonly used cobot system (Master-Slave System) in the healthcare industry is the DaVinci system, a robotic arm that mimics the surgeon’s hand movement into smaller and more precise actions for less invasive and complex surgeon procedures.  

To Know More, Read Full Article @ https://ai-techpark.com/collaborative-robots-in-healthcare/ 

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In today’s digital era, the merge of artificial intelligence (AI) and the Internet of Things (IoT) has kicked off a tech revolution that tends to reshape numerous industries across the globe with a vision that this transformation helps businesses enhance efficiency and drives innovations at an unprecedented pace.

For a better understanding, IoT is all about an extensive network of connected devices with an embedded sensor that collects and transfers large-scale data that is processed according to the behavior and patterns of the user to make the correct decision at the right time.

On the other hand, artificial intelligence (AI) is a technology that imitates human intelligence and behavior in computer systems, further enhanced by learning and experimenting, to develop new behaviors and skills.

These technologies, together, can solve real-world problems and create new products for businesses to enhance the customer-digital experience. This article explores the opportunities and approaches of AI and IoT that will revolutionize market paradigms.

Five Skills to Stay Relevant and Competitive in the Age of IoT and AI

The scope of implementation and importance of IoT and AI determine the need for qualified IT professionals; however, the demand for experts in these technologies requires certain technical and soft skills.

Below, we have reviewed some wanted skills that are required in an IT professional to succeed in IoT and how they can boost their career profile:

Artificial Intelligence and Machine Learning

AI and machine learning (ML) have become key technologies that have reshaped the IT field. To excel, IT engineers and IoT developers need to have a good understanding of ML and AI technologies, as these technologies are the base of developing tools and frameworks that are essential to developing IoT devices and AI applications that are further used in various application areas, like automotive, manufacturing, finance, and healthcare. Learning and understanding where and how to implement ML algorithms with the help of data sensors are used to develop smarter appliances.

The skill of big data management will be useful for predictive analytics, which is based on identifying data patterns. The IT engineers and IoT developers should also have knowledge of popular ML libraries such as Kera and Tensorflow and the ability to program in languages such as R, Python, and C++.

IoT Systems and Networking

The Internet of Things (IoT) is a blooming field in the IT industry that involves connecting physical devices (motion sensors, smart glasses, VR headsets, smart devices, trackers, drones, etc.) to the Internet. To be a master, IT engineers, and IoT developers need to have a better understanding of the IoT concept and technologies to develop robust and seamless connected devices that require a unique user interface (UI). The knowledge about IoT includes networking protocols such as Bluetooth, Zigbee, and Wi-Fi; engineers and developers should also be familiar with IoT platforms such as AWS IoT and Microsoft Azure. IT professionals who have good UI skills in visual design, analytics, wireframing, and prototyping excel at developing satisfactory devices.

To Know More, Read Full Article @ https://ai-techpark.com/exploring-the-intersection-of-ai-and-iot/

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