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Theme

Current Research & Development in Robotics & Artificial Intelligence.

- Robotics 2023

Welcome message

Greetings from Robotics 2023!!

We are excited to welcome all attendees of Robotics 2023 to our highly regarded global event, “5th International Conference on Robotics and Artificial intelligence” which will be held on February 27,28 to March 1, 2023, in Zurich, Switzerland.

The theme of the conference "Current Research & Development in Robotics and Artificial intelligence" provides new ideas, convictions, strategies, and tactics in Robotics and Artificial intelligence. The Robotics conference’s major goal is to bring science and technology together, with a focus on Advanced Robotics, Advanced Artificial intelligence, and Innovative Technology.

Our Robotics conference will present brand-new ideas and principles that will have a direct impact on how business is conducted. This is a unique opportunity for delegates from all over the world to interact. Participants eager to learn more can validate their attendance by attending the Robotics conference alongside their peers.

We hope you will join us and spend some time appreciating the region's distinctive charm.

About Conference

We welcome papers describing prototypes, systems, tools, and techniques additionally as general survey papers indicating future directions are encouraged. Outstanding keynote speakers, well-known leading scientists, and experts from around the globe are expected to share their knowledge.

Robotics 2023 provides a forum for the exchange of ideas and authoritative views by leading scientists additionally as business leaders and investors in this exciting field, and it's scheduled for Feb 27-March 1, 2023.

With members from around the world specializing in learning about computer science technologies. This can be your opportunity to succeed in the biggest assemblage of participants from the community. The foremost recent techniques, World-renowned speakers, tactics, and the newest updates within the computing field are hallmarks of this conference. It's gathering young and innovative minds, practitioners, and experts to motivate and supply a replacement thanks to motivating and achieving.

Importance and Scope:

Due to incredible technological development, industries try to cut back manpower where they were trying to extend computer science and performance in various sectors. Now Robotics is employed in each and each company where machines are involved and a few or other process is involved. Many fields like Robotics, mechatronics, control systems, electronics, wireless, laser technology, and automotive motors are dependent only on these Artificial intelligence and Automation functions

Sessions/ Tracks

Advanced Robotics

The idea of creating machines that can operate autonomously dates to olden times, but the proper research into the implementation and potential uses of robots did not grow properly until the 20th century. Throughout history, it has been frequently assumed that in one-day robots will be able to imitate human behavior and manage tasks in a human-like fashion. Today, robotics is one of the rapidly growing fields domestically, commercially, or militarily. Numerous robots are built to do jobs that are dangerous for mankind such as defusing bombs, finding survivors in unstable ruins, and exploring mines and shipwrecks

Associated Conferences: 7th International Conference on Robotics, Control and Automation, International Conference on Robotics and Machine Vision, 3rd International Conference on Manufacturing, Engineering, Artificial Intelligence, Robotics & Information Technology, 4th International Conference on Artificial Intelligence in Electronics Engineering, 9th International Conference on Automation, Robotics and Applications, 6th International Conference on Science and Technology

Associated Journals: Advances in Robotics & Automation, Journal of Intelligent & Robotic Systems, Robotics Journals, Journal of Field Robotics, Advanced Robotics, Intelligent Service Robotics, Robotics and Autonomous Systems, Journal of Intelligent & Robotic Systems (JINT), International Journal of Social Robotics

Associated Societies: National Institute of Advanced Industrial Science and Technology, Robotic Industries Association, International Conference on Intelligent Robots and Systems, For Inspiration and Recognition of Science and Technology, Institute of Robotics and Intelligent Systems, Japan Robot Association, Livingston Robotics Club, Swedish Robotics Society, International Conference on Robotics and Automation, International Federation of Robotics

Artificial Intelligence

Artificial intelligence is the imitation of human intelligence organized by machines, especially computer systems. These processes include the acquisition of information and rules for using the information as well as using the rules to reach approximate or definite conclusions and self-correction. specific applications of AI include expert systems, speech recognition, and machine vision. Some homo sapiens also consider Artificial intelligence to be a threat to humanity if it progresses further. Others believe that Artificial intelligence, unlike previous technological revolutions, will create a risk of mass unemployment. Nowadays usage of Artificial intelligence techniques has become an essential part of the technology industry, helping to solve numerous advanced problems in computer science.

Robot Dynamics

Robot dynamics explains the relationship between the forces that act on a robot mechanism and the accelerations produced by robots. Typically, the robotic mechanism is modeled as a rigid-body system, in which case, robot dynamics is the application of rigid-body dynamics to robots.

Large Scale Machine Learning

Machine Learning (ML) include topics about developing systems that enhance their performance with experience. In the last decade's progress, Artificial Intelligence can easily be attributed to the advances in ML. ML is very popular that it has become synonymous with ArtificialIntelligence. The researchers have been focusing on scaling the state-of-the-art ML algorithms to large datasets.

Internet of Things

The Internet of Things (IoT) is a concept that uses physical devices which are connected to the internet and can communicate with each other via the exchange of data. The collected data could be processed intelligently to make the devices smarter.

Nuclear Robotics

Nuclear Robotics is an interdisciplinary wing that develops and deploys very advanced robots in hazardous environments to reduce the risk for mankind. Researchers complete a rigorous interdisciplinary curriculum to understand the requirements for deploying systems in nuclear or other relevant domains. The UK has 4.9 million tonnes of legacy nuclear waste. Cleaning this up is the largest and most complex environmental remediation task in Europe. Much of this work must be carried out by robotics because the materials are too hazardous for humans. However, the robotics solutions required just do not yet exist. The NCNR will be in the leading position for enhancing these technologies. Its researchers will lead the way in world-leading robotics and Artificial Intelligence, and train the next generation of nuclear roboticists.

Human-Robot Interaction

Human-robot interaction is the study of interactions between humans and robots. It is often referred to as HRI by researchers. Human-robot interaction is a multidisciplinary field with contributions from human-computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences. Human-Robot Interaction (HRI) is an advanced stream that has been grabbing a lot of attention over the past few years due to the increase in the availability of complex robots and people's exposure to such robots in their daily lives, e.g., as robotic toys or, to some extent, as household appliances (robotic vacuum cleaners or lawn movers). Nowadays robots have been used vastly for real-world applications such as robots in rehabilitation, eldercare, robot-assisted therapy, and educational applications. Due to the advancement in AI, the research is concentrating not only on the safest physical interaction but also on a socially correct interaction, dependent on cultural criteria. The aim is to create intuitive, and easy communication with the robot through speech, gestures, and facial expressions.

Micro and Nano Robots

Nanorobotics is an upcoming advanced technology that enables the creation of robots at or near the scale of a nanometer. More specifically, nanorobotics refers to the nanotechnology engineering stream of designing and creating nanorobots, with devices ranging in size from 0.1–10 micrometers and constructed of nanoscale or molecular components. Nanobot, nanoid, nanite, nanomachine, or nanometer are some of the terms that can be used to describe such devices that are currently under research and development. Another definition of a nanorobot is a robot that allows precise interactions with nanoscale objects that can manipulate with nanoscale resolution. Such devices are more related to microscopy or scanning probe microscopy, instead of the description of nanorobots as molecular machines. Equipment such as an atomic force microscope can be understood as a nanorobot when made to perform nanomanipulation. From this viewpoint, macroscale robots are microrobots that can move with nanoscale precision.

Neuromorphic Learning

With the rise of Deep Learning concepts that rely on neuron-based models, researchers have been developing hardware chips that can directly implement neural network architecture. These chips are programmed to mimic the brain at the hardware level. Usually, in an ordinary chip, the data is required to be transferred between the central processing unit and storage blocks, which results in time overheads and energy consumption. In a neuromorphic chip, data is both compiled and stored in the chip in an analogy manner and can generate synapses when required, saving time and energy.

Computer Vision

Basically, Robotic Vision involves a combination of camera hardware and computer algorithms to enable robots to sense and process visual data regarding the world. For instance, some systems have a 2D camera that detects an object for the robot to pick up. An example involving complexity is to use of a 3D stereo camera to make a robot function to mount wheels onto a moving vehicle. Without Robotic Vision, a robot is essentially blind. This is not a problem for many robotic tasks, but for some applications, Robot Vision is useful or even essential. Robot Vision is also related to Machine Vision. The terms robot vision, as well as Machine vision, are closely related to Computer Vision. If we were talking about a family tree, Computer Vision could be seen as their parent. This is one of the fascinating fields of visual intelligence as well as machine learning. Visual intelligence enables a robot to “sense” and “recognize” the environment. It also enables a robot to “learn” from the memory of past experiences by extracting patterns in visual signals.

Robotic Rehabilitation Systems

Rehabilitation robotics is considered a specific focus of biomedical engineering. In this field, clinicians, therapists, and engineers collaborate to help rehabilitate patients. Prominent goals in the field include developing implementable technologies that can be easily used by patients, therapists, and clinicians enhancing the efficiency of clinicians' therapies and thereby enlarging the ease of activities in the daily lives of patients. Over the past decade, the number of rehabilitation robots has increased but they are very limited due to clinical trials. Many clinics have trials but did not accept robots because they wish they were remotely controlled. Making Robots involved in the rehabilitation of a patient has some advantages. One of the positive aspects is the fact that you can repeat the process as many times as you desired. Another positive aspect is the fact that you can get accurate measurements of their improvement or decline. You can get the exact measurements via sensors on the device. While the robot is about to take measurements, one needs to be careful because the robot may be disrupted. The rehabilitation robot can be able to apply constant therapy for long periods. The rehabilitation robot is a useful machine touse according to many therapists, scientists, and patients who have undergone the therapy. In the process of recovery, he is unable to understand the patient’s needs like a well-experienced therapist would. The robot is unable to understand now but, in the future, the device will be able to understand. Another advantage of having a rehabilitation robot is that there will be no physical effort put into work by the therapist.

Autonomous Robots

Autonomous robots have the skill to grasp required information regarding their environments and work for a certain period of time without human involvement. There are many examples of these robots that range from autonomous choppers to vacuum cleaners. These self-dependent robots can involve themselves throughout the task assigned without any human intervention and are capable to avoid situations that are harmful to themselves or people and property. Autonomous robots can easily adapt to changing surroundings. Autonomous robots can be used even in busy environments, like a hospital. Instead of employees leaving their posts, an autonomous robot can be able to deliver lab results and patient samples expeditiously and accurately. Without established guidance, these robots can be used to navigate the hospital hallways and can even find alternate routes when the way gets blocked. They can be made to stop at some pick-up points and collect samples to bring to the lab. Autonomous robots get tasks to be carried out with a better degree of accuracy, which is specifically wanted in some fields such as spaceflight, household maintenance, wastewater treatment, and delivering goods.

Cloud Robotics

Cloud robotics is a branch of robotics that deals with advanced cloud technologies. cloud computing, cloud storage, and other Internet technologies centered on the benefits of converged infrastructure and shared services for robotics can be known via cloud robotics. When robots are made to connect with the cloud, they can be benefited due to the powerful computation, storage, and communication resources of a modern data center in the cloud, which can process and share information from various robots or agents. Humans can also delegate tasks to robots remotely through networks. These Cloud computing technologies enable robot systems to be provided with powerful capabilities while reducing costs through cloud technologies. Hence, it is possible to create lightweight, low-cost, smarter robots that have intelligent “brains" in the cloud. The brain in the cloud plays a vital role and responsibility for deep learning, information processing, environment models, communication support, etc. Although robots are benefited from numerous advantages of cloud computing, the cloud itself is not the trouble-shooter for all robotics. Controlling a robot’s movements which depends majorly on (real-time) sensors and feedback of the controller may not benefit much from the cloud. Tasks that involve real-time execution require onboard processing. Cloud-based applications may also get delayed or unavailable due to high-latency responses or network hitch. If a robot relies too much on the cloud, a fault in the network could leave it “brainless”.

Cognitive Robotics

Cognitive robotics is one of the vital wings of robotics that deals with robots that can learn from experiences and also from human beings, and even on their own, thereby cultivating the skill to effectively deal with our environment. On one side conventional cognitive programming approaches have been assuming symbolic coding schemes as a way of representing the environment, rendering this environment into these kinds of symbolic representations has been assumed to be a trouble if not undefendable. Perception and action and the notion of symbolic representation are therefore core issues to be addressed in cognitive robotics.

Neural Networks

Artificial neural networks (ANNs) are computing systems motivated by the biological neural networks that compose animal brains. An ANN is based on the assembly of linked units or nodes called artificial neurons. The artificial neuron that encounters the signal can process it and then notify artificial neurons connected to it. It can deal with incomplete information. Neural networks can be classified based on some attributes known as Connection type, Topology, and Learning methods.

Research on Robotics

The field of robotics is undergoing a revolutionary change, which will impact all aspects of our society. These advances, driven by highly collaborative and interdisciplinary research, will allow robots to perform tasks not suited for humans, to work safely in close proximity and in collaboration with humans, and operate safely and effectively in natural human environments. Robotics is a new domain of engineering. Robots have been classified depending on the circuits. These are classified into three types:

Primary-level Robots - These are automatic machines that do not contain complex circuits. They are developed just to extend human potential.

Intermediate-level Robots – These are the robots that have been programmed but can never be programmed again. These robots contain sensor-based circuits and can perform multiple tasks.

Complex-level Robots - These robots are initially programmed to execute a specific task and can be reprogrammed if needed. They contain complex model-based circuits.

19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA |Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA,USA | Machine Intelligence Summit, April 12-13, Hong Kong, DeepLearning Summit, April 12-13, Hong Kong

Applications of robotics

Currently, robots perform a number of different jobs in numerous fields and the number of tasks delegated to robots is increasing progressively. The best way to split robots into types is a partition them by their application.

1. Industrial robots

2. Domestic or household robots

3. Medical robots

4. Service robots

5. Military robots

6. Entertainmentrobots

7. Space robots

8. Hobby and competition robots

Now, we can observe that there are several examples that fit well into one or more of these types. For illustration, there can be a deep ocean discovery robot that can collect several precious pieces of information that can be employed by the military or armed forces. Robots were made by humans just for the sake of entertainment but by now they are being used for assisting humans in various sectors. Human beings are better suitable for multifaceted, imaginative, adaptive jobs, and robots are good for dreary, recurring tasks, permitting human beings to do harder thinking jobs, whereas a robot is now used for replacing humans for various recurring tasks or entertainment to make living more expedient.

Roboethics

A robot must not injure a human being or, through inaction, allow a homoserines to harm. A robot must obey orders given by human beings except where such orders would conflict with the First Law. A robot must be programmed in a way such that it also must protect its own existence, as long as such protection does not conflict with the First or Second Law as mentioned. Robot ethics, also known by the expression "roboethics", deals with ethical problems such as whether robots pose a danger to humans in the long or short run, whether some uses of robots are problematic, and how robots should be programmed such as they act ethically. Roboethics deals with the ethics of technology, specifically information technology, and it has close links to legal as well as socio-economic concerns. Researchers from diverse areas are beginning to tackle ethical questions about creating robotic technology and implementing it in societies, in a way that will still ensure the safety of the human race

Robotic Hazards and Maintenance

Industrial robots offer numerous invaluable benefits for businesses, but safety is critical for success. Like any tool or piece of equipment, robots can be just as hazardous as they are useful. Industrial robot safety precautions are crucial to ensure everyone working with and around robots is not in danger. These precautions will vary from one business and robot to another. However, there are some core steps that all organizations should take to ensure industrial robot safety.

Market Analysis

The overall industrial robot market size in 2016 is estimated at the US $ 31.45 billion. The compound annual growth rate during the forecast period is expected to be approximately 7.0%. The increasing emphasis on increasing the productivity of high-volume production lines, especially in the fields of automotive and electronic equipment manufacturing, is one of the trends accelerating market growth.

The influx of robots with integrated vision and touch functions has improved the efficiency and speed of delivery systems and is expected to drive market growth. Unlike their predecessors, the new generation of robots includes human characteristics such as intelligence, flexibility, memory, learning ability, and object recognition. With the implementation of robotics, the industry can realize many financial benefits, such as reducing management costs, increasing productivity, reducing waste, and flexibility. The latest advancements in artificial intelligence, such as machine learning, deep learning, and the development of conscious robots, are expected to drive the market during the forecast period.

In countries such as China, South Korea, and Taiwan, the adoption of supportive government policies that include R&D subsidies, investment in skills, tax incentives, and loan programs are expected to benefit the market as a whole. The European Union (EU) has invested $ 872 million in the SPARC robot project, which is expected to create more than 240,000 jobs in Europe by 2020.

Some of the top contributing countries to the industrial robot market are Germany, South Korea, Japan, China, and the US The Asia Pacific region dominated the market with a revenue share of more than 52% in 2016 and is expected to continue to dominate throughout the forecast period. The region also has the highest number of products shipped in 2016, around 151,000 units. It is expected to register a considerable compound annual growth rate during the forecast period.

The major industrial robot manufacturing centers in the Asia-Pacific region include China, Japan, South Korea, and Taiwan. Japan and South Korea are already at the forefront of the regional market in terms of industrial robot implementation. The rapid overall growth of markets in these countries can be attributed to the boom in the electronics industry. The main players that dominate the market include Toshiba Machinery, Panasonic, Omron Adept Technology, FANUC Robotics, Denso, Mitsubishi Electric Corporation, Epson Electronics and other companies. Market participants often need large amounts of capital and investment to improve products and consolidate their position in the field, resulting in high entry and exit barriers.

The general strategic behavior of major market participants is to look for new innovative areas, such as light-duty robots, and consider traditional heavy-duty industrial robots while keeping one foot in the field. Custom robots programmed for specific work environments are generally more popular than standard robots in manufacturing. China has become a powerhouse of industrial robots, accounting for 60% of total revenue, but the Chinese government has some plans to make it expected to lead the non-industrial robot market by 2025. The analysis shows that by 2025, China will become the leading market for consumer robots, corporate robots, and autonomous vehicles. This trend is in line with China's goal of becoming a leader in artificial intelligence. For this reason, China will build a foundation that includes local artificial intelligence semiconductor companies, and robust software, and hardware platform, which can be used in a number of commercial hardware products. and a scalable ecosystem of companies large and small. AI dominates in China, these companies enter the cycle of innovation. In addition to the rise of China, there are many other major trends that can reshape the robot market. It is estimated that in 20 years, 16 of the 23 categories of robots will become multi-million dollar markets.

Past Conference Report

We would like to appreciate all our Eminent keynotes, speakers, conference attendees, students, associations, media partners, exhibitors, and guests for making Robotics 2021 a successful and splendid event.

AAC hosted the event of the 4th International Conference on Robotics and Artificial Intelligence on Sep 21, 2021, Online (Webinar) with the theme “New Innovations with inside the destiny of Robotics and Artificial intelligence”. Benevolent response and active participation were received from the Editorial Board Members of supporting International Journals as well as from the leading academic scientists, researchers, research scholars, students, and leaders from the field of Robotics who made this event very successful.

The conference was marked by the attendance of young and brilliant researchers, business delegates, and talented student communities representing more than 12 countries, who have driven this event into the path of success. The conference highlighted various sessions on current retroviral research.

Robotics 2021 witnessed an amalgamation of peerless speakers who enlightened the crowd with their knowledge and confabulated on various new-fangled topics related to the fields of Robotic Sciences.

The conference proceedings were carried out through various Scientific-sessions and plenary lectures. The conference was embarked on with an opening ceremony followed by a series of lectures delivered by members of the Keynote forum.

Qin Zhang, Tsinghua University, China (Keynote)

Speaker:

Lianming Chen, Nanyang Technological University.
Rifky Ismail, Diponegoro University (Undip), Semarang, Indonesia.
Dr. kiritkumarKirit Kumar Modi, Sankalchand Patel University, India.
Afaque Manzoor Soomro, Ph.D., Department of Electrical Engineering, Sukkur IBA University, Pakistan.

The meeting was carried out through various scientific sessions, in which the discussions were held on the following major scientific tracks:

Advanced Robotics
Artificial Intelligence
Exoskeletons
Agricultural Robotics
Conscious Robotics
Applications of Robotics
Micro and Nano Robots
Cognitive Robotics
Neural Networks
Research on Robotics
Mechatronics

We are also obliged to various delegate experts, company representatives, and other eminent personalities who supported the conference by facilitating active discussion forums. We sincerely thank the Organizing Committee Members for their gracious presence, support, and assistance towards the success of Robotics 2021.

With the grand success of Robotics 2018, Robotics 2019 & Robotics 2021, AAC is proud to announce the "5th International Conference on Robotics and Artificial Intelligence” to be held during February 27,28 to March 1, 2023, in Switzerland.