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Manipulation of beacons is a method of Human-Swarm Interaction (HSI) of relative ease to implement, especially for computer simulated environments. This paper focuses on doing an in depth analysis of an implementation of attractor and repulsor fields and determining its advantages and disadvantages through experimental means. The results give an optimistic view of the method: the learning curve is...
An all-new family of software-based intelligent process automation technologies has emerged recently. Because of the newness of this kind of automation capability, there are no common definitions of concepts, capabilities, terms, technology, types, etc. This standard is published for the purpose of promoting clarity and consistency in the use of Software Based Intelligent Process Automation (SBIPA)...
The article is devoted to the study of the method of self-learning of an artificial intelligence, based on the use of software tools for collecting information from various Internet resources. There is developed a web crawler that analyzes Internet resources for the presence of false articles by data mining methods based on an artificial intelligence and by self-learning through the mechanism of neural...
In recent years, people's interest in the artificial intelligence (AI) is increasing. Systems with AI technology are developed to be applied to various fields. The study model to create AI whose function simulates a human's mind and feelings and the developments are in progress. We assume that it is impossible to express "human-like qualities" by algorithm for autonomous AI with learning...
Smart homes are an application domain that is inherently connected to explicit and implicit user interaction. Following a user-centred design approach, we have to look at the user's needs and preferences when designing systems and components for smart homes. In this paper, we provide an overview on what users in Germany want and wish from technology in their homes, based on former studies. We focus...
Capitalizing on the latest developments in 5G and ultra-low delay networking as well as Artificial Intelligence (AI) and robotics, we advocate here for the emergence of an entirely novel Internet which will enable the delivery of skills in digital form. We outline the technical challenges which need to be overcome to enable such a vision, i.e., on the development of a 5G Tactile Internet, standardized...
The ban of so called “Killer Robots” is strongly prescribed by certains States and numerous influential NGOs. Following the report of the Informal Group of Experts created by the Convention on Certain Conventional Weapons, a Governmental Group of Experts is due to examine this issue and formulate recommendations by the end of 2017. In this article, the current state of discussions in Geneva is summarized...
In this paper, we describe the application of cloud computing in the field of robotics where a robot is assigned the job of picking up sticks lying in the floor and to keep them in the given space. The robot is connected to the cloud through a network. It receives the answer to the queries of the database residing in the cloud about the location of the sticks to be picked up and receives the coordinates...
Autonomous agents have become a powerful paradigm and a subject of a considerable research interest in a great variety of scientific disciplines over the past 20–25 years. Given that the paradigm has been around for a while, one would expect a broadly agreed-upon, solid understanding of what autonomous agents are and what they are not. This, however, does not appear to be the case. We join the debate...
In this paper, we propose a question representation based on entity labeling and question classification for a automatic question answering system of Chinese Gaokao history question. A CRF model is used for the entity labeling and SVM/ CNN/LSTM models are tested for question classification. Our experiments show that CRF model provides a high performance when used to label informative entities out...
This paper proposes a new approach to robotic manipulation planning based on the contact between a set of objects, robots and surfaces. We consider making or breaking contact as the most abstract, yet representative element of a manipulation task. Using this paradigm, a robotic manipulation planner has been developed. Given an environment with robots and objects, a manipulation graph is generated...
Virtual Higher Education is in sharp focus lately with onslaught of Online Learning Platforms (MOOC, Coursera, Khan Academy, Udacity) offering Free Courses in every discipline. Originally targeted at populations in underdeveloped countries not otherwise able to offer a world-class education, these courses have become popular and mainstream in developed countries being free, online and caters to most...
Virtual agents are artificial intelligent artifacts that mimic natural conversations with users. The media equation posits that human-agent interaction mirrors the social cues prevalent in human-to-human relationship. As such, personality adaptation-convergence (similarity-attraction) and divergence (complementary-attraction) in human-agent interaction have been explored, particularly in the context...
For many robotics and intelligent vehicle applications, detection and tracking multiple objects (DATMO) is one of the most important components. However, most of the DATMO applications have difficulty in applying real-world applications due to high computational complexity. In this paper, we propose an efficient DATMO framework that fully employs the complementary information from the color camera...
This paper presents a Hamilton-Jacobi theory based method to generate energy-optimal trajectories for the two-link planar manipulator which is a key component in the robot systems. We first build the mathematical model of the robot manipulator, then formulate a corresponding optimal control problem and solve it via the Hamilton-Jacobi theory. Compared with the existing methods, the presented framework...
Robots are currently being developed to enter our lives and interact with us in different tasks. For humans to be able to have a positive experience of interaction with such robots, they need to trust them to some degree. In this paper, we present the development and evaluation of a social robot that was created to play a card game with humans, playing the role of a partner and opponent. This type...
In artificial intelligence, the research on knowledge and belief has made many achievements. But most researches hardly combine knowledge with belief to be a single system. Moreover, people have researched the relationship between belief and other factors, such as scene, intention, behavior, action and so on. In this paper, however, we take another research direction. Based on the basic epistemic...
Recently, in the field of artificial intelligence (AI), special attention has been paid to deep neural networks (DNNs) because of remarkable performance in various pattern-recognition tasks, especially in visual classification problems. However, interesting differences as well have been pointed out between human vision and current DNNs arousing questions about the generality of DNN computer vision,...
The development of software and machines capable of making ethical judgements is a topic of great interest with both the research communities and the public. Debates over the possibility and practicality of such systems have only intensified with the increased use of robotics in the military arena and the ubiquity of AI in commercial products. Modern innovations, such as the driverless car, will likely...
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