Name: Artificial Intelligence 2023
Start: 2023-03-16
End: 2023-03-18
Location: India

Conference Information

Welcome Message

Artificial Intelligence 2023 invites to the "8^th International Conference on Artificial Intelligence, Robotics and Automation" on March 16-18, 2023 in Osaka, Japan. The keynote presentations, oral presentations, poster presentations, seminars, and exhibitions make up the congress.

Artificial Intelligence 2023 aims to proclaim the understanding and proportion the brand-new ideas amongst professionals, students, and industrialists from the research area of Artificial Intelligence, Robotics, and Automation to share their studies and take part in interactive conversations on the occasion. This medical gathering ensures that transmitting the mind and thoughts will enable and maintain artificial intelligence based on the theme “Recent developments in Artificial Intelligence, Robotics and Automation, and Its Utilization”.

Artificial Intelligence, Robotics, and Automation integrate the knowledge of mechanical engineering, electronics, size, and manipulation with internal product and process design. Participate in the international to improve the performance of electromechanical devices using this expertise. Automation is made up of sophisticated controllers that instantly control and modify the Field-level devices.

Why you should Attend?

With your help and outstanding presentations from the Artificial Intelligence committees, we want to make the "8^thInternational Conference on Artificial Intelligence, Robotics and Automation" a grand success. We promise that the conference will provide you with first-rate amenities and hospitality.

The Artificial Intelligence 2023 conference will bring together eminent academics from across the world who are experts in the fields of Artificial Intelligence, Robotics, and Automation, as well as academic and industrial researchers and scholars, to discuss cutting-edge scientific discoveries and technological advancements. Numerous panels, workshops, lunches with affinity groups, paper presentations, and scientific sessions led by renowned psychiatrists from across the nation will be among the conference's outstanding academic programming. Highlights of this conference include the most recent methods, advancements, and updates, as well as keynote sessions by eminent researchers who are internationally known.

Keynote sessions by eminent researchers
Outstanding Young Researcher Award
Thought provoking Workshops and Symposium
Preconference workshops in all major countries
Top Industry Representations
Group Registration benefits

Target Audience:

Lab Associates / Directors
Research Scientists
Academic Faculty
Technologist
Doctorates
Industrialists
Manufacturing Devices Companies
Smart innovators
Robotics doctorates
Robotics Testers
Defence Research Professionals
Mechatronics expertise and Control systems
Professors
Students

About Conference

On behalf of the “8^th International Conference on Artificial Intelligence, Robotics and Automation”, we are pleased to extend a warm invitation to you to attend the Congress, which will be held on March 16–18, 2023 in Osaka, Japan. This event will bring together some of the most eminent academics in the field of information technology from around the world. Directors, professors, research scholars, postdocs, and academic staff will present their research and discuss new emerging technological trends in the artificial intelligence areas.

Artificial Intelligence 2023 is a global forum for discussing and researching the most recent technological advancements, applications, and intense research to share all available knowledge. The conference's theme, "Recent advances in Artificial Intelligence, Robotics and Automation and Its Utilization" attracts notable worldwide experts, professors, professionals, research scholars, student delegates, and exhibitors from around the globe. Oral presentations, poster presentations, keynote speakers, seminars, and more will all be included in the conference.

The conference will emphasize artificial intelligence (AI) and machine learning (ML) learning algorithms, types of AI and ML, AI and ML approaches, robotics, machine learning techniques, neural networks, machine learning tools, computer vision applications of AI, expert systems, reinforcement learning topics related to almost all fields of Artificial Intelligence, quantum computing, healthcare, autonomous vehicles, and natural language processing.

Sessions/Tracks

Track 1: Artificial Intelligence

Artificial intelligence (AI) is the simulation of human intelligence by using machines, particularly. These techniques include understanding reasoning (using rules to draw precise and approximative conclusions), understanding (obtaining information and rules to apply it), and self-correction. An algorithm is a formula that shows how specific variables are related to one another. Target audiences or segments can be identified using clusters, which open up marketing opportunities due to their shared characteristics.

Sub-Tracks:

Machine intelligence
Deep getting to know
Close intelligence
Neural community and Neuro-fuzzy system
Intelligent Medical diagnostics
Probabilistic reasoning

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Automation and Artificial Intelligence conference | Humanoid Robots and Artificial Intelligence conferences | Robotics and Artificial Intelligence conference | Neural Networks and Artificial Intelligence conferences | Robotics, Machine Learning, and Artificial Intelligence conferences | Mechatronics and Automation conference | Automation Engineering and Robotics conferences | Mechatronics, Robotics, and Automation conference | Humanoid Robotics conferences | Biomimetics and Robotics conference | Robotics, Automation, and Artificial Intelligence conferences

Related Societies and Associations:

Related Journals:

Advances in Robotics and Automation | Journal of Electrical and Electronic Systems | Journal of Scientific and Industrial Metrology | Advances in Automobile Engineering | International Journal of Advancements in Technology | Journal of Aeronautics and Aerospace Engineering | Journal of Information Technology and Software Engineering | Journal of Applied Mechanical Engineering | Journal of Electrical Engineering and Electronic Technology | Journal of Computer Engineering and Information Technology

Track 2: Automation

Technology Automation a specialised virtual controller that can operate equipment and processes is known as a PLC. It uses video display devices to display inputs, make choices, and manage outputs for computerised machinery and processes. A device that limits and displays building services is known as a construction automation device. There are numerous ways to erect these buildings. A common building automation tool for a building with complex requirements due to the activity, along with a hospital, can be outlined in this chapter. A type of automation for batch production is programmable automation. A range of part types can be produced using flexible automation in small or unit batch sizes.

Sub-Tracks:

Automation Tools and Equipment
PLC and Micro-Controllers
Cloud Computing for Automation
Building Automation

Related Conferences:

Related Societies and Associations:

International Society of Automation (ISA) | The Robotics Society | China Society of Industrial Automation and Automated Industries | Robotics Society in Finland | Open Source Robotics Foundation | Advanced Robot Technology Research Association | Robot Interindustry Research and Production Association | Danish Industrial Robot Association (DIRA) | Association Française de Robotique Industrielle

Related Journals:

American Journal of Computer Science and Engineering Survey | Journal of Informatics and Data Mining | American Journal of Computer Science and Information Technology | Advances in Robotics and Automation | Journal of Scientific and Industrial Metrology | International Journal of Advancements in Technology | Journal of Applied Mechanical Engineering

Track 3: Robotics

A robot is a multipurpose manipulator that can be reprogrammed to move objects, tools, or specialised equipment using several programmed motions to execute a range of activities. Robots can take on any shape, but some are designed to seem like people. The discipline of bio-inspired robotics has benefited from the fact that many of today's robots draw inspiration from nature. Robots that can learn from their own mistakes, from human teachers, and even on their own are used in the technology field of cognitive robotics, which helps them become more adept at interacting with their surroundings. One of the most challenging projects in the history of the automotive industry is autonomous mobility.

Sub-Tracks:

Progressive Robotics
Components of Robot
Robots in Defence
Micro Robot
Robots & Society

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Automation and Artificial Intelligence conference | Robotics and Artificial Intelligence conference | Robotics, Machine Learning, and Artificial Intelligence conferences | Automation Engineering and Robotics conferences | Humanoid Robotics conferences | Robotics, Automation, and Artificial Intelligence conferences | | Mechanical Engineering and Robotics conference | Artificial Intelligence conference | Mechatronics and Robotics conference | Machine Learning and Automation conference

Related Societies and Associations:

Related Journals:

Advances in Robotics and Automation | Advances in Automobile Engineering | Journal of Applied Mechanical Engineering | American Journal of Computer Science and Engineering Survey | Journal of Informatics and Data Mining | Advances in Automobile Engineering | | Journal of Electrical and Electronic Systems | American Journal of Computer Science and Information Technology

Track 4: Mechatronics

The broad field of mechatronics refers to the spectrum of skills needed in the modern, highly automated manufacturing sector. Mechatronics experts create simpler, more innovative frameworks at the intersection of mechanics, technology, and registration. A crucial place to start for the typical growth in mechanisation and assembly is mechatronics. Control systems, electromechanical systems, and mechanical technology are all managed by mechatronics. Broadcast and communications systems are among the electronic equipment that electronics engineers design and create. A computer system that governs, orders, and guides other systems or devices is known as a control system.

Sub-Tracks:

Advanced smart automation technologies in mechatronics
MEMS dynamics and control
Sensor design and data collection approaches
Model-based mechatronic system design
Mechatronics and smart manufacturing systems
Computational intelligence in mechatronic systems

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Automation and Artificial Intelligence conference | Robotics, Machine Learning, and Artificial Intelligence conferences | Mechatronics and Automation conference | Robotics, Automation, and Artificial Intelligence conferences | Mechatronics and Robotics conferences | Electrical Engineering and Robotics conferences | Robotics and Automation conference | Automation Congress | Robotics Congress | Machine Learning and Automation conference

Related Societies and Associations:

Related Journals:

American Journal of Computer Science and Information Technology | Journal of Applied Mechanical Engineering | Advances in Automobile Engineering | Journal of Electrical and Electronic Systems | Advances in Robotics and Automation | Journal of Electrical Engineering and Electronic Technology | International Journal of Advancements in Technology | Journal of Information Technology and Software Engineering | Journal of Scientific and Industrial Metrology

Track 5: Intelligent System

The probability hypothesis, which is a fluffy set hypothesis, controls uncertainty, although typically, the kind of uncertainty is extreme. Stochastic vulnerability controls the susceptibility to an occurrence on a particular occasion, and this susceptibility is quantified by the likelihood of the event. Large data sets are sorted through data mining to find patterns and relationships that may be used in data analysis to assist solve business challenges. Artificial intelligence (AI) and machine learning are both subfields of deep learning, which mimic how people acquire specific types of information.

Sub-Tracks:

Character Recognition
Identification of people using various biometric techniques (e.g., face, fingerprint, iris, hand)
Assistive robotics
Visual Surveillance
Intelligent Transportation

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Track 6: Human-Centred Robotics

Robots that are focused on helping humans for safety and productivity are known as "human-centred robotics" since they both mirror human seeing and cognitive gestures. To study human-centred is to study mortal beings and how we analyse complicated and frequently conflicting information, comprehension, and actions in response to new information. The study of nature and natural phenomena is known as biomimetics. It aims to understand the principles of the underlying system and apply ideas that could be useful in science, engineering, and medicine. Rehabilitation robots are used in the recuperation process of disabled patients in standing up, balancing and gait. In a telerobotic system, a human operator can remotely direct the robot's motions.

Sub-Tracks:

Human motor Neuroscience
Cognitive elements that influence how people interact
Developing new robot behaviours

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Related Societies and Associations:

Related Journals:

Journal of Electrical Engineering and Electronic Technology | Journal of Computer Engineering and Information Technology | American Journal of Computer Science and Engineering Survey | Journal of Informatics and Data Mining | American Journal of Computer Science and Information Technology | Advances in Robotics and Automation | Journal of Electrical and Electronic Systems | Journal of Scientific and Industrial Metrology

Track 7: IoT and Globalization

The world has become a global village where everyone is interconnected and dependent on one another because of the process of globalization. Without the Internet of Effects, the evolution of the planet won't be possible in the big part. The rise of the IoT era brought fresh solutions and offered hope for an improved future. Data processing involves gathering and modifying data to provide useful information. The point of human-computer communication and interaction in a device is the user interface (UI).

Sub-Tracks:

Sensor-Guided Robotics
Robot that avoids obstacles using Arduino
Wi-Fi Controlled Robot

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Related Societies and Associations:

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Track 8: Surgical Robots

During robotic surgery, your doctor makes teeny incisions in your body to insert a high-definition three-dimensional camera and small gadgets; on occasion, skin incisions are not even required. Then, from a nearby console, your doctor will commend those tools to perform the procedure. One comparison for the robotic surgery system is a video game. When you move a control button while playing a video game, the computer faithfully replicates your actions on the screen in real-time. Your surgeon is in command the entire time, and the surgical system adheres to his directives.

Sub-Tracks:

Soft tissue overload prevention
Steerable instruments
Force measurement systems
Robotic Laser Surgery
Bilateral Teleoperation

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Related Societies and Associations:

Related Journals:

Journal of Computer Engineering and Information Technology | American Journal of Computer Science and Engineering Survey | Journal of Informatics and Data Mining | American Journal of Computer Science and Information Technology | Advances in Robotics and Automation | Journal of Electrical and Electronic Systems | Journal of Scientific and Industrial Metrology

Track 9: Robots in Industry

Since 1930, people have had ideas for industrial robots. The first industrial robot patent was submitted in 1954. Since then, robots have shifted some work in industrial facilities while also creating new job openings in several departments. In the current sector, robots typically do tasks like welding, painting, gathering, pick-and-place bundling, marking and so forth. The workshop has been specifically designed for those who are a part of various organizations and for students who will eventually join those groups. Business meetings will also find it helpful to look at some of the most recent developments occurring in these fields.

Sub-Tracks:

Agriculture
Food Preparation
Manufacturing

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Track 10: Automation Tools

Process estimates and control capabilities such as different PID circles are connected to application processors in a distributed control system (DCS), which is spread across the plant. It is easier for administrators to view information, create plots, modify set focuses, and respond to warnings when using a Graphical User Interface (GUI). DCS programming includes sophisticated inclining and information storage in addition to board processing.

Sub-Tracks:

Selenium
Robotium
Watir

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Related Societies and Associations:

Related Journals:

Journal of Applied Mechanical Engineering | Journal of Electrical Engineering and Electronic Technology | Journal of Computer Engineering and Information Technology | American Journal of Computer Science and Engineering Survey | Journal of Informatics and Data Mining | American Journal of Computer Science and Information Technology

Track 11: Humanoid Robotics

A creatural robot is a robot that has physical characteristics that are similar to those of humans, particularly one head, a torso and two limbs. It should also be able to communicate with people and other robots, comprehend information, and carry out limited conditioning with the help of a stoner. Robots that are part of nature have selectors and detectors. These robots typically have pre-set conditioning that has been decided. The relationship between the forces applied to a robot mechanism and the resulting accelerations is the focus of robot dynamics.

Sub-Tracks:

Humanoid motion planning and control
Humanoid manipulation and grasping
Humanoids' imitation and learning mechanisms
Architectures of the software and hardware
Sensing and perception in humanoids

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Track 12: AI applications in industry and engineering

The operation of related technologies to solve artificial pain points for client value creation, productivity improvement, and sapience discovery is more central to Artificial Intelligence. However, assiduity generally holds a more optimistic view of AI and sees this metamorphosis of frugality as impregnable and expects huge business opportunities in this process. In a dystopian vision of Artificial Intelligence operations, intelligent machines may displace human jobs and give rise to social and ethical issues. Smart content is described as changing dynamically in response to the intended client segment.

Sub-Tracks:

Artificial Intelligence in Healthcare
Artificial Intelligence in videogames and game theory
Artificial Intelligence in Energy
Cutting Edge Artificial Intelligence Research

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Track 13: Role of Automation in Robotics

Any perspective of reality in which the foundations of that view are heated with virtual imagery is referred to as stoked reality (AR). Stoked Reality (AR) is a technique that uses several virtual information types to augment reality. Examples of this information include textbooks, pictures, and 3D models. The user of AR perceives this information as an overlay over the outside world. The AR software can employ a variety of techniques to properly position the overlay. Rudimentary is defined as having fundamental knowledge, early stages of development, or core educational concepts. Mobility is characterized as the capacity for movement and the capacity to travel between locations utilizing one or more modes of transportation to satisfy daily demands.

Sub-Tracks:

Building Artificial Brains
Mobile industrial robots
Robotic arm
Safety standards applied to Robotics
Signal and image processing
Vision, Recognition and Reconstruction
Robot Design, Development and Control

Related Conferences:

Related Societies and Associations:

Related Journals:

Journal of Electrical Engineering and Electronic Technology | Journal of Computer Engineering and Information Technology | American Journal of Computer Science and Engineering Survey | Journal of Informatics and Data Mining | American Journal of Computer Science and Information Technology | Journal of Aeronautics and Aerospace Engineering | Journal of Information Technology and Software Engineering

Track 14: Machine Learning

Machine literacy is the application of artificial intelligence to allow machines to learn from experience about a task without having that task specifically programmed into the machines. By the end of 2027, the market for machine learning will likely be worth $117 billion. Next, the machines are trained by creating vibrant machine literacy models utilizing the data and dissimilar methods. The algorithms we employ will depend on the kind of data we have and the kind of task we're trying to automate. Deep learning has recently tended to use larger datasets and more complex structures.

However, generally speaking, there are three categories of machine learning algorithms

Supervised Machine Learning Algorithms
Unsupervised Machine Learning Algorithms
Reinforcement Machine Learning Algorithms

Sub-Tracks:

Supervised Learning
Unsupervised Learning
Deep Neural Network (DNN)
Artificial Neural Network

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Related Societies and Associations:

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Track 15: Robotics and Mechatronics

Robotics is the branch of innovation that deals with the creation, management, and application of robots. The division of technology known as mechatronics unifies hardware and mechanical designs. When mechatronic structures acquire inputs independently, there is a significant difference in the inputs that are made. An operator can monitor and manage equipment and procedures using the operator interface (OI), also known as the human-machine interface (HMI). There are several ways to move around, including ambulation, pushing a manual wheelchair, using a powered mobility device, and using a personal vehicle. Robotic manipulators can carry out repetitive tasks with much greater speed and accuracy than human operators.

Sub-Tracks:

Dealing with modelling and simulation of bodily structures.
Intelligence manages
Embedded management structures

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Automation and Artificial Intelligence conference | Humanoid Robots and Artificial Intelligence conferences | Robotics and Artificial Intelligence conference | Neural Networks and Artificial Intelligence conferences | Mechatronics and Robotics conferences | Electrical Engineering and Robotics conferences | Computer Engineering and Automation conference | Medical Robotics conferences | Robotics and Automation conference | Automation and Robotics conference | Artificial Intelligence conference | Artificial Intelligence conferences

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Related Journals:

Advances in Robotics and Automation | Journal of Electrical and Electronic Systems | Journal of Scientific and Industrial Metrology | Advances in Automobile Engineering | Journal of Computer Engineering and Information Technology | American Journal of Computer Science and Engineering Survey

Track 16: Artificial Intelligence in Healthcare

By 2024, spending on artificial intelligence (AI) will reach $40.6 billion. Recent developments in AI technology have shown new creative possibilities. Health is not protected, and many operations could advance as a result of these modifications. A few of the numerous study opportunities that have been made possible by the tremendous advancements in healthcare are in the areas of health, health data quality evaluation, personalised health with sensor data, cross-source learning for enhanced lifestyles, and health data visualisation. The field of finance management is projected to change as a result of the advancement of AI in the customer benefit space and the difficulty presented by Artificial Intelligence calculations.

Sub-Tracks:

Rule-based Expert Systems
Diagnosis and Treatment Applications
Natural language processing
Physical robots
Robotic process automation

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Related Societies and Associations:

Related Journals:

Advances in Robotics and Automation | Journal of Electrical and Electronic Systems | Journal of Scientific and Industrial Metrology | Journal of Aeronautics and Aerospace Engineering | Journal of Information Technology and Software Engineering | Journal of Informatics and Data Mining

Track 17: Marine Robotics

Marine robotics has developed from experimental navigation and management algorithms for underwater and surface vehicles to powered autonomous underwater vehicles that can frequently dive over 6,000 metres. We can see underwater gliders travelling across the Atlantic Ocean and entering the Pacific Ocean using unmanned floor platforms called "Wave Gliders." Marine Robotics is positioned to make a significant contribution to societal information challenges on a broad scale. New advancements in marine robot technology will provide scientists with greater tools to utilise and sustainably explore the oceans on a rare scale.

Sub-Tracks:

Actuation and Sensing Systems
Mission Control Systems
Localization
Multi-Vehicle Coordination

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Humanoid Robots and Artificial Intelligence conferences | Robotics and Artificial Intelligence conference | Neural Networks and Artificial Intelligence conferences | Robotics, Machine Learning, and Artificial Intelligence conferences | Mechatronics and Automation conference | Automation Engineering and Robotics conferences | Mechatronics, Robotics, and Automation conference | Humanoid Robotics conferences | Biomimetics and Robotics conference | Robotics, Automation, and Artificial Intelligence conferences | Mechanical Engineering and Robotics conference | Cybernetics and Robotics conferences | Computer Engineering, Robotics, and Automation conference | Mechatronics and Robotics conferences

Related Societies and Associations:

Related Journals:

American Journal of Computer Science and Information Technology | Advances in Robotics and Automation | Journal of Electrical and Electronic Systems | Journal of Scientific and Industrial Metrology | Advances in Automobile Engineering | International Journal of Advancements in Technology | Journal of Aeronautics and Aerospace Engineering

Market Analysis

Artificial Intelligence, Robotics and automation are referred to as the multidimensional field of technology that combines a variety of subjects such as mechanical engineering, electronics, computer engineering, telecommunications engineering, structures engineering, and manipulation engineering. Modern trends gaining traction in the market for Artificial Intelligence, automation and robotics guides include an increase in original equipment manufacturers' and workshops' visibility (OEMs).

ARM Holdings (United Kingdom), British Columbia Institute of Technology (Canada), Bosch Rexroth (Germany), Hennepin Technical College (U.S.), and ABB are among the major players in the global automation and robotics manuals market (Switzerland). The goal of ARM Holdings' mechatronics and robotics training programme is to provide students and future engineers with the fundamental knowledge and skills they need to develop independent mechatronic and robot systems. ARM Holdings is a notable player in the market for mechatronics and robotics guides. This package includes comprehensive instructions on how to design, construct, and integrate important automation system components. The instruction is really good, and it includes a comprehensive set of lecture slides with notes and lab guides with solutions. The British Columbia Institute of Technology offers a full-time degree programme that combines a special, multidisciplinary collection of courses in electronics, mechanics, and computer programming to give students the theoretical and practical skills they need to design and maintain mechatronic systems.

The expansion of mechatronics utility through the use of OEMs is one of the key factors contributing to the market boom for Artificial Intelligence, Automation and Robotics guides. However, lowering operating costs generally is the main challenge for OEMs and SMBs (small and medium-sized businesses). Other issues with the companies include the need to operate the business effectively, comply with regulatory standards, and meet environmental criteria on schedule, which has become one of the key challenging scenarios for OEMs.

In the upcoming years, it is anticipated that the global artificial intelligence (AI) software industry would expand quickly, topping 126 billion dollars by 2025. Applications including machine learning, robotic process automation, and natural language processing are all part of the larger AI business.

Segments:

With the help of platform and utility, the global market for artificial intelligence, robotics and automation is split and examined. The marketplace is divided into online and offline segments according to the platform. The utility portion is divided into categories including area, drones, manufacturing, and automobiles. The other segment contains equipment for electrical and electronic use.

Regional Analysis:

Asia Pacific, North America, Europe, and the rest of the world are investigated alongside the global market for artificial intelligence, robotics and automation guidelines. The market for automation and robotics in North America is anticipated to grow at the highest CAGR. One of the major factors supporting the Artificial Intelligence, Robotics and Automation market in the area is the growth in the number of small and medium training institutes that sell robotics and automation learning and development in artificial intelligence, robotics and automation themes.

Robotic Flight Simulator Surgery Market Scenario:

The use of virtual reality principles in robot-assisted surgery is referred to as robotic flight simulator surgery. The technology offers a multi-level curriculum with different surgical procedure difficulty levels. As a result, the robotic flight simulator equips doctors with the knowledge and abilities needed to carry out robotic procedures. Surgical robots have several benefits. With less blood loss, they deliver accuracy and perfection in the treatments. This created the conditions for the growth of the market for robotic surgery using flight simulators. During the projected period, factors like the increased demand for robotic surgery and the rising cost of healthcare are anticipated to be the primary drivers of market growth.

Approximately 970 robotic surgical procedures were carried out in the area between 2012 and 2015, according to U.K. HealthCare. Additionally, the market is developing as a result of the expanding biotechnology and pharmaceutical industries as well as the rising incidence of chronic diseases including diabetes and cancer. One-third of the global market for biopharmaceuticals is accounted for by the U.S. Additionally, it is projected that the U.S. biopharmaceutical sector contributed an estimated USD 1.2 trillion to the economic output of 2014 and represents roughly 17% of all domestic R&D supported by U.S. corporations. However, it is anticipated that throughout the projected period, factors including the high cost of surgical robots and the dangers involved in robotic procedures will constrain market growth. The average stated prices of da Vinci robot models were anticipated to vary from USD 0.91 to USD 2.31 million in 2015, according to the Economic Cycle Research Institute.

Key Players in the Robotic Flight Simulator Surgery Market:

The leading companies in the robotic surgery market include Intuitive Surgical (U.S.), TransEnterix (U.S.), Titan Medical robotic (Canada), Virtualincision (U.S.), AVRA (U.S.), Hansen Medical (U.S.), Corindus Vascular Robots (U.S.), Interventional Systems (U.S.), Stryker (U.S.), Mazor Robotics (Israel), and others.

Intended Audience:

Pharmaceutical Companies
Biotechnological Institutes
Government and Private Laboratories
Research and Development (R&D) Companies
Medical Research Laboratories
Market Research and Consulting Service Providers

Robotic Flight Simulator Surgery Market Segmentation:

The application, method, and end-user segments of the robotic flight simulator surgery market are defined. The market is divided into general surgery, cardiac surgery, neurosurgery, gynaecology, and others based on application. The market is divided into direct telemanipulator and computer control segments based on the method. The market is divided into hospitals, clinics, ambulatory surgery centres, and others based on the end user.

Robotic Flight Simulator Surgery Market Regional Analysis:

The market for robotic flight simulator surgeries is dominated by the United States because of its strong healthcare system and rising adoption of new technologies. Along with the presence of key players like Intuitive Surgical, Stryker, Hansen Medical, and others, well-developed economies like the United States and Canada also contribute to the market's expansion.

Global Robotic Flight Simulator Surgery Market Share, by region:

Sources: WHO, Company Presentation, White Paper, Press Release, and Annual Reports.

The robotic surgery industry's second-largest market is in Europe. The availability of research funding, the expansion of the pharmaceutical and biotechnology industries, and the rising cost of healthcare per capita all contribute to the region's market growth. The cost of healthcare per person in the U.S. and the U.K. in 2014, as reported by the Office for National Statistics, was around USD 9985 and USD 4393, respectively. Europe is divided into Western Europe and Eastern Europe on a regional basis. The market for robotic flight simulator surgery is largely concentrated in Western Europe. On the other side, Eastern Europe is thought to be the region with the fastest growth.

The market's fastest-growing region is predicted to be Asia Pacific. This is due to the vast patient population suffering from chronic ailments including cancer, diabetes, and other disorders, as well as the rising demand for robotic procedures. Breast cancer was the most prevalent type of cancer in the Asia Pacific area, according to a study that was published in the Cancer Biology & Medicine Journal in 2014. Breast cancer was thought to have affected 18% of the region's recorded cases of the disease in 2012.

The Middle East and Africa, on the other hand, account for the smallest market share for robotic flight simulator surgery. This is explained by the existence of weak economies, strict governmental regulations, and a dearth of healthcare facilities, particularly in the African continent. The Middle East holds a large portion of the market in both Africa and the Middle East.

Research Methodology:

This study for Robotic Flight Simulator Surgery Market Research Future includes in-depth primary research in addition to the careful examination of both qualitative and quantitative factors by several industry professionals and key opinion leaders to acquire a deeper understanding of the market and industry performance. The research provides a thorough picture of the current market environment, including historical and predicted market sizes in terms of dollar value and volume, technological advancement, macroeconomic considerations, and market-governing factors. The research also provides a thorough analysis of the various market segments and geographical areas.

Artificial Lift Optimization Systems:

The market research report on artificial lift optimization includes a five-year market and technology prognosis in addition to current market information. An overview of the artificial lift optimization market is given in this study. The research's primary focus is on the opportunity to optimise upstream oil and gas production. The study is offered in a variety of editions, including global, regional, and editions for the majority of large nations.

Artificial Lift Optimization Systems Enable Production Optimization:

To compete in the global market, businesses must continually find ways to improve productivity, cut production costs, oil extraction and refinement prices, manufacturing running expenditures, and boost return on investment. Enhancing the uptime and performance of artificial lift systems can be crucial in assisting businesses in achieving operational excellence.

The market for artificial lift optimization, which encompasses hardware, software, and services, is somewhat dynamic, with several key categories witnessing significant product innovation. A growing number of unconventional wells that are showing faster decline rates and wells that need artificial lifts to be implemented early in the well's life are driving this market's continuous rise. By utilising intelligent sensors and machine learning based on industrial IoT, these artificial lift optimization solutions give new features and capabilities required to boost production and pump availability.

Price Volatility and Production Requirements Mandate Artificial Lift Optimization:

The issues of improving production, lowering energy consumption, cutting costs per barrel, and ensuring pump uptime are still present for companies that use artificial lift systems in oilfields (i.e., minimizing downtime). The majority of customers have profited from investing in artificial lift optimization across the seven categories of covered artificial lift systems. By area, project location, and application, the artificial lift optimization market has different needs, standards, and capabilities. The research focuses on the particular criteria and needs for artificial lift systems used by owner-operators, independent E&P companies, and other stakeholders.

Impact of the COVID-19 Pandemic felt in 2020, Recovery in 2021:

Even though the COVID-19 pandemic did not affect the demand for artificial lift optimization in 2019, the market projections do consider current market conditions and our best predictions for the COVID-19 pandemic's potential effects on the artificial lift optimization market in various project locations and geographical areas.

With a focus on the global market, the "Global Artificial Intelligence (AI) Robots Market" study report will offer insightful information. The principal market participants are

NVIDIA (US)
Intel (US)
IBM (US)
Microsoft (US)
Xilinx (US)
Alphabet (US)
Softbank (Japan)
Hanson Robotics (China)
Amazon (US)
Blue Frog Robotics (France)
Promobot (Russia)
AI Brain (US)

Artificial Intelligence (AI) Robots Market, by Component

Electronic Control Unit
Sensors
Current-Carrying Devices
Others

Artificial Intelligence (AI) Robots Market, by Application

ADAS
Infotainment
Body Electronics
Safety Systems
Powertrain

Artificial Intelligence (AI) Robots Market, by Geography

North America

U.S
Canada
Mexico

Europe

Germany
France
U.K
Rest of Europe

Asia Pacific

China
Japan
India
Rest of Asia Pacific

Middle East & Africa
Latin America

Scope of the Report:

Report Attributes	Details
The market size in 2021	USD 9.2 Billion
Revenue Forecast by 2030	USD 54.3 Billion
CAGR	21.81% from 2022 to 2030
Base Year	2021
Forecast Year	2022 to 2030
Key Players	ABB, AI Brain, Inc., Alphabet, Argo AI, LLC, Blue Frog Robotics & Buddy - Emotional Robot, Brain Corporation, CloudMinds Technology Inc., DataRobot, Inc., Fanuc, Hanson Robotics Ltd., Harman International Industries, IBM Corporation, Intel Corporation, International Business Machines Corporation, Mitsubishi, Neurala, Microsoft Corporation, Kawasaki, Inc., NVIDIA Corporation, Omron, Promobot, SoftBank Corp., UB Tech Robotics, Inc., Vicarious, Xilinx, Veo Robotics, Yaskawa.

8^th International Conference on
Artificial Intelligence, Robotics and Automation

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Theme: Recent developments in Artificial Intelligence, Robotics and Automation and their Utilization

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Market Analysis