Human factors, artificial intelligence and autonomous cars: Perspectives for a complex implementation

The centuries-old near-inseparable human/automobile relationship faces a revolution thanks to artificial intelligence gradually creating new paradigms in terms of personal urban mobility. Still, would we be prepared to relinquish our vehicle control to autonomous systems? The main objective of this work is to elucidate the main elements of the complex relationship between human factors and artificial intelligence in the development and establishment of autonomous vehicles. Thus, this paper adopted a basic methodology with a qualitative approach with an exploratory objective and technical procedures, as well as technical procedures of a documentary and bibliographic nature. Notice that autonomous systems present plausible functioning in controlled environments, even so, in an environment with several variables and an almost infinite possibility of combinations, enforced the occurrence of failures and compromised the structuring of a mental model, based on human factors, applicable to artificial intelligence. That explains the little importance given to human factors in the planning of human/autonomous machine interactions.

Governance and Ethics of AI

In this article we discuss ways AI can be fruitful and inimical at the same time and consider hurdles in implementing ethics and governance of AI. We conclude with presenting solutions to overcome this issue. Artificial intelligence (AI) is a technology that allows a computer system to mimic the human mind. AI, like humans, is capable of learning and developing itself through doing tasks such as planning, organizing, and executing numerous activities. However, as we develop and expand our understanding of AI, there are a few advantages and downsides that should be addressed. Privacy and security are vital, but they conflict with the advancement of AI technology since computers and AI require a large quantity of data to Comprehend and anticipate outcomes. With the advancement of technology, we should be able to maximize security and eliminate the current drawbacks. Keywords: Artificial Intelligence (AI), Autonomous, Machine Learning (ML), Governance, Ethics, Deepfake

On the philosophical, cognitive and mathematical foundations of symbiotic autonomous systems

Symbiotic autonomous systems (SAS) are advanced intelligent and cognitive systems that exhibit autonomous collective intelligence enabled by coherent symbiosis of human–machine interactions in hybrid societies. Basic research in the emerging field of SAS has triggered advanced general-AI technologies that either function without human intervention or synergize humans and intelligent machines in coherent cognitive systems. This work presents a theoretical framework of SAS underpinned by the latest advances in intelligence, cognition, computer, and system sciences. SAS are characterized by the composition of autonomous and symbiotic systems that adopt bio-brain-social-inspired and heterogeneously synergized structures and autonomous behaviours. This paper explores the cognitive and mathematical foundations of SAS. The challenges to seamless human–machine interactions in a hybrid environment are addressed. SAS-based collective intelligence is explored in order to augment human capability by autonomous machine intelligence towards the next generation of general AI, cognitive computers, and trustworthy mission-critical intelligent systems. Emerging paradigms and engineering applications of SAS are elaborated via autonomous knowledge learning systems that symbiotically work between humans and cognitive robots. This article is part of the theme issue ‘Towards symbiotic autonomous systems'.

Multipurpose Agriculture Robot

The development and the fabrication of the robot which can dig the soil, put the seeds, leveler to close the mud and sprayer to spray water, these whole systems of the robot works with the battery and the solar power. More than 40% of the population in the world chooses agriculture as the primary occupation, in recent years the development of the autonomous vehicles in the agriculture has experienced increased interest. The vehicle is controlled by Relay switch through IR sensor input. The language input allows a user to interact with the robot which is familiar to most of the people. The advantages of these robots are hands-free and fast data input operations. In the field of agricultural autonomous vehicle, a concept is been developed to investigate if multiple small autonomous machine could be more efficient than traditional large tractors and human forces. Keeping the above ideology in mind, a unit with the following feature is designed: Ploughing is one of the first steps in farming. During this process we till the land and make it ready for the seed sowing. By tilling we mean that a plough will be used which will have teeth’s like structure at the end and will be able to turn the top layer of soil down and vice-versa. Seed sowing comes next where the seeds need to be put in ground at regular intervals and these needs to be controlled automatically. Limiting the flow of seeds from the seeds chamber is typically doing this. Mud leveler is fitted to close the seeds to the soil and to level the ground.

Cartesian coordinate control for teleoperated construction machines

Despite the continuous development of the hardware, most construction machines are exclusively teleoperated limiting the control to a single paradigm. The operators usually have to move different joints of the machine in a coordinated way solely relied on their experiences leading to reduced local accuracy and work efficiency. Automation of construction machinery can open up new possibilities to improve efficiency and safety during the construction process. This work introduces a generic method that can adapt construction machines that have been already used in the field for decades, so that a more intuitive and versatile control paradigm can be allowed. We introduce the system architecture with the necessary hardware extension and the closed-loop inverse kinematic based motion controller implemented in a visual programming environment. In contrast to existing works, which are mostly based on developing entirely new systems, an autonomous machine suited for construction sites and other hazardous environments can be obtained at a reduced effort. Because of its low cost and generality, this approach can be widely utilized in construction industries opening possibilities for a combination of the advanced robotics technology with proven machines from construction sites. We present our first prototype system based on a BROKK 170 demolition machine and highlight its capabilities but also the inherent limitations of the proposed method.

AI Based Rescue Robot : A Literature Survey

According to the statistics on numbers and rates of fire disaster in world, millions of lives of peoples, animals and on- duty fire fighter are lost every year. It gives the high demand for an autonomous machine to operate the fire disaster rescue operation efficiently and help to fire fighter team. The proposed paper involves the design of a robot that can analysis the situation at victim place and send the full report to the server of fire fighter team which can help them to deal with the disaster situation. Robot also aids the fire fighter team to search the victim and rescue them to safe places. The robot will not only be localize itself but also aids to turn off the fire. The Robot will help to rescue peoples and animals in fire disaster in efficient manner with least harm to rescue team.