Geometric modeling of pursuit problems in Mathcad

2020 ◽  
Author(s):  
Aleksandr Dubanov
Keyword(s):  
Artificial Intelligence ◽  
Graduate Students ◽  
Computer Modeling ◽  
Geometric Modeling ◽  
Robotic Systems ◽  
Programming Environment

This monograph publishes a description of the methods and algorithms of pursuit problems on surfaces, and also the simulation of tasks in the programming environment Mathcad. As a result of computer modeling, many animated videos were obtained that allow you to see the algorithmic solutions proposed by the author in the pursuit problems. The monograph may be useful to students of technical universities, graduate students and developers of robotic systems with elements of artificial intelligence.

Simulation of pursuit and parallel approach methods in pursuit problems

2021 ◽  
Author(s):  
Aleksandr Dubanov
Keyword(s):  
Artificial Intelligence ◽  
Graduate Students ◽  
Computer Modeling ◽  
Differential Games ◽  
Digital Technologies ◽  
Robotic Systems ◽  
Programming Environment

This monograph publishes a description of methods and algorithms for pursuit problems on surfaces. Simulation of tasks in the Mathcad programming environment was made. The development of digital technologies makes it possible to simulate a variety of problems from the theory of differential games. As a result of computer modeling, a lot of animation videos were obtained, which allow you to see the algorithmic solutions proposed by the author in pursuit problems. The monograph can be useful for students of technical universities, graduate students and developers of robotic systems with elements of artificial intelligence.

scholarly journals A Survey of Robots in Healthcare

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 8 ◽  
Author(s):  
Maria Kyrarini ◽  
Fotios Lygerakis ◽  
Akilesh Rajavenkatanarayanan ◽  
Christos Sevastopoulos ◽  
Harish Ram Nambiappan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
The Elderly ◽  
Robotic Systems ◽  
Care Hospital ◽  
Robotic Technology ◽  
Persons With Disabilities ◽  
Survey Paper ◽  
Recent Advances ◽  
Art Research

In recent years, with the current advancements in Robotics and Artificial Intelligence (AI), robots have the potential to support the field of healthcare. Robotic systems are often introduced in the care of the elderly, children, and persons with disabilities, in hospitals, in rehabilitation and walking assistance, and other healthcare situations. In this survey paper, the recent advances in robotic technology applied in the healthcare domain are discussed. The paper provides detailed information about state-of-the-art research in care, hospital, assistive, rehabilitation, and walking assisting robots. The paper also discusses the open challenges healthcare robots face to be integrated into our society.

scholarly journals Artificial Intelligence-Driven Autonomous Robot for Precision Agriculture

2021 ◽  
Vol 24 (1) ◽  
pp. 48-54
Author(s):  
Ivan Beloev ◽  
Diyana Kinaneva ◽  
Georgi Georgiev ◽  
Georgi Hristov ◽  
Plamen Zahariev
Keyword(s):  
Artificial Intelligence ◽  
Precision Agriculture ◽  
Communication Systems ◽  
Robotic Systems ◽  
Small Scale ◽  
Construction Process ◽  
End User ◽  
Agricultural Robots ◽  
Agricultural Enterprises ◽  
Human Labour

AbstractIn the recent years, robotic systems became more advanced and more accessible. This has led to their slow, but stable integration and use in different processes and applications, including in the agricultural domain. Nowadays, agricultural robots are developed with the aim to replace the human labour in the otherwise exhausting, time-consuming or dangerous activities. Agricultural robotic systems provide many advantages, which can differ based on the type of the robot and its sensors, actuators and communication systems. This paper presents the design, the construction process, the main characteristics and the evaluation of a prototype of a small-scale agricultural robot that can be used for some of the simplest activities in agricultural enterprises. The robot is designed as an end-user autonomous mobile system, which is capable of self-localization and can map or inspect a specific farming area. The decision-making capabilities of the robot are based on artificial intelligence (AI) algorithms, which allow it to perform specific actions in accordance to the situation and the surrounding environment. The presented prototype is in its early development and evaluation stages and the paper concludes with discussions on the possible further improvements of the platform.

scholarly journals DEVELOPMENT OF A SCIENTIFIC SCHOOL ON APPLIED GEOMETRY FOUNDED BY PROFESSOR OBUKHOVA VIOLETTA SERGEEVNA

2021 ◽  
pp. 28-33
Author(s):  
Sergiy Pylypaka ◽  
Viktor Nesvidomin
Keyword(s):  
Graduate Students ◽  
Soviet Union ◽  
Doctoral Students ◽  
Former Soviet Union ◽  
Geometric Modeling ◽  
Nature Management ◽  
Surface Element ◽  
Scientific School ◽  
National University ◽  
Doctoral Dissertations

  The creation of a school on applied geometry at the National University of Bioresources and Nature Management of Ukraine is associated with the names of the so-called prof. Obukhova Violetta and prof. Rozov Seraphim. Thanks to these outstanding personalities, the Department of Drawing Geometry and Mechanical Engineering of the Ukrainian Agricultural Academy (the old name of the department and university) became widely known in the former Soviet Union. Members of the department annually honor the memory of prof. Obukhova V., hold a scientific and practical conference «Obukhov Readings». Now the conference has acquired international status and is held by order of the rector of the university. The conference is attended by teachers from Kiev universities, from universities in other cities, scientists who had to work with V.S. Obukhova or listen to her lectures, being students, doctoral students, graduate students. The development of the school is evidenced by the fact that over the past 15 years, 15 PhD theses have been defended by former graduate students of the department. Some of them are working on doctoral dissertations. Today, the scientific school was headed by Doctor of Technical Sciences, Professor of Pilipakа Sergey. Under his leadership, 17 master's theses and 3 doctoral dissertations were defended. It should be noted that the range of scientific research of the school representatives is quite wide. Many publications focus on bending surfaces based on the invariability of the expression of a linear surface element. The main area of research is geometric modeling of technical forms and automation of their design. In the field of view of scientists - the design of unfolding surfaces, as a bypass single-parameter set of planes, the location on the surfaces of geodetic lines and their design according to a given curve, which should be a geodetic line for the surface and interpolation of a point series in plane and space.

Stepping back to move forward: Centering capital in discussions of technology and the future of work

2020 ◽  
Vol 5 (3-4) ◽  
pp. 129-133
Author(s):  
Benjamin Shestakofsky
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technological Development ◽  
Structural Features ◽  
Robotic Systems ◽  
Future Of Work ◽  
Technological Unemployment ◽  
The Future ◽  
Constructivist Approaches ◽  
The Relationship

Some researchers have warned that advances in artificial intelligence will increasingly allow employers to substitute human workers with software and robotic systems, heralding an impending wave of technological unemployment. By attending to the particular contexts in which new technologies are developed and implemented, others have revealed that there is nothing inevitable about the future of work, and that there is instead the potential for a diversity of models for organizing the relationship between work and artificial intelligence. Although these social constructivist approaches allow researchers to identify sources of contingency in technological outcomes, they are less useful in explaining how aims and outcomes can converge across diverse settings. In this essay, I make the case that researchers of work and technology should endeavor to link the outcomes of artificial intelligence systems not only to their immediate environments but also to less visible—but nevertheless deeply influential—structural features of societies. I demonstrate the utility of this approach by elaborating on how finance capital structures technology choices in the workplace. I argue that investigating how the structure of ownership influences a firm’s technology choices can open our eyes to alternative models and politics of technological development, improving our understanding of how to make innovation work for everyone instead of allowing the benefits generated by technological change to be hoarded by a select few.

ORCCAD: software engineering for real-time robotics. A technical insight

Robotica ◽  
1997 ◽  
Vol 15 (1) ◽  
pp. 111-115 ◽  
Author(s):  
D. Simon ◽  
B. Espiau ◽  
K. Kapellos ◽  
R. Pissard-Gibollet
Keyword(s):  
Software Engineering ◽  
Real Time ◽  
Discrete Time ◽  
Continuous Time ◽  
Robotic Systems ◽  
Formal Definition ◽  
Programming Environment ◽  
Control Laws ◽  
Low Levels ◽  
Definition Of

The ORCCAD programming environment for robotic systems gathers control laws in continuous time at the low levels and discrete time logical aspects at higher levels. Based upon a formal definition of robotic actions, complex applications can be designed, verified and generated incrementally. The approach and tools prototypes have been validated through several applications.

scholarly journals Artificial intelligence applications and robotic systems in Parkinson's disease (Review)

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Lacramioara Perju‑dumbrava ◽  
Maria Barsan ◽  
Daniel Leucuta ◽  
Luminita C. Popa ◽  
Cristina Pop ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Robotic Systems

Ethical Problems of Digitization and Robotization in Medicine

2020 ◽  
Vol 63 (2) ◽  
pp. 104-122
Author(s):  
Elena V. Vvedenskaya
Keyword(s):  
Artificial Intelligence ◽  
Medical Profession ◽  
Personal Data ◽  
Modern Medicine ◽  
Robotic Systems ◽  
Modern World ◽  
Type Model ◽  
Main Task ◽  
Ethical Problems ◽  
The Relationship

The article discusses the ethical problems that arise due to the processes of digitization and robotization in medicine, and focuses on the relationship between the doctor and the patient. The purpose of this article is to identify the limits of the transformative impact of these processes on the medical profession. The possibilities and disadvantages of telemedicine are considered, and the role of artificial intelligence in modern medical practice is analyzed. The author compares the traditional paternalistic model of the doctor’s attitude to the patient and the modern engineering model replacing it. The study has identified risks of computerization for doctors and patients, which may include the lack of direct contact between the doctor and the patient, the inability to “physical examination,” the uncertainty of liability for medical errors, as well as problems of maintaining the confidentiality of personal data of patients. The dominance of a technical-type model can lead to depersonalization of the patient and replacement of most doctors with artificial intelligence (AI) systems and robots. Since modern medicine belongs to two categories – “human territory,” which implies taking care of a person as the main task, and “machine territory,” which is associated with the automation of many processes, the article raises a natural question about the place of a doctor in the modern world. The findings allow to draw some conclusions. With the widespread introduction of artificial intelligence and robotic systems into medicine, the relationship between doctor and patient is being transformed. Diagnostics, treatment and medical manipulations will increasingly be assigned to machines, which will free doctors from the impossible task of collecting a huge array of medical data and free up time to communicate with patients. Intelligent machines and robotic systems will outperform doctors in diagnosing diseases and performing precise surgeries, but they will never replace doctors in caring for patients. An important task of modern medicine is to maintain “live contact” between the doctor and the patient.

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