Automation, and closely related information systems are, naturally innate, and integrated ingredients of all kinds of objects, systems, and social relations of the present day reality. This is the reason why this cont...
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Automation, and closely related information systems are, naturally innate, and integrated ingredients of all kinds of objects, systems, and social relations of the present day reality. This is the reason why this contribution treats the phenomena and problems of this automated/information society in a historical manner with a wider, structural framework, giving special emphasis to TECIS. The classical International Federation of Automatic Control's (IFAC) topic of social effects is continually evolving and is moving towards human-machine cooperation. This means that automation technologies require a more interdisciplinary educated workforce. In addition developing countries need access to the newest technology to efficiently and effectively improve their industries. This contribution benchmarks selected important development trends of the Technical committee 9.5 (TECIS). It outlines the social aspects of automation, cost orientated automation, semi-automated assembly and disassembly (end of life), mechatronics systems and robotics, cooperative robotics, engineering ethics and diversity and inclusion in automation. As well as looking forward to future development trends it also looks backwards at the history of automation in the context of TECIS. Copyright (C) 2021 The Authors.
Machine Learning, and in particular Reinforcement Learning, is a persistent trend in automation and robotics in recent years. Many researchers worldwide are developing intelligent controllers using Reinforcement Learn...
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Machine Learning, and in particular Reinforcement Learning, is a persistent trend in automation and robotics in recent years. Many researchers worldwide are developing intelligent controllers using Reinforcement Learning techniques. This paper aims to present a proof-ofconcept Reinforcement Learning flight controller for a multicopter. The agent has been trained in the Airsim simulation environment to achieve stable flight conditions by controlling its roll, pitch, yaw and throttle. After training, the agent has been tested on the same environment to prove its ability to maintain stable flight conditions while following a determined route. Copyright (C) 2021 The Authors.
This paper presents the design and implementation of COVID-Bot, an open-source robotic platform for sanitizing single plant environments such as offices, houses, apartments, among others. This development seeks to cre...
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This paper presents the design and implementation of COVID-Bot, an open-source robotic platform for sanitizing single plant environments such as offices, houses, apartments, among others. This development seeks to create a tool that contributes to the global fight against the COVID-19 pandemic, from a low-cost and easy-to-replicate robot, which disinfects surfaces through type C ultraviolet radiation. The platform is based on a differential robotic base, an RGB-D camera, a tracking camera, three UV-C lamps, and an embedded computer running the ROS-based control software. In addition, this paper presents the description of the hardware used, the software implemented, and the tests carried out to corroborate the operation of the integrated system. These tests demonstrated that the system is adequate to autonomously cover a one-floor apartment, based on the theoretical radiation distance of the used lamps. Copyright (C) 2021 The Authors.
Currently, multi-agent mobile robotic testbeds are expensive, inaccessible, and restricted characteristics. Besides, the remotely accessible testbeds have limitations for specific tasks and limited time of implementat...
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Currently, multi-agent mobile robotic testbeds are expensive, inaccessible, and restricted characteristics. Besides, the remotely accessible testbeds have limitations for specific tasks and limited time of implementation. For these reasons, we designed, produced, and implemented a testbed with excellent qualities for everybody. The ARGroHBotS is an inexpensive, robust, accessible, and flexible testing scenario where anyone can test control and motion theories. ARGroHBotS could be adjusted and set up for specific implementations. Due to the ability to modify both the hardware and the software, it is possible to change both the peripherals and the control technique used. This paper describes the design, operation, and advantages of ARGroHBotS. This system is specifically designed as an excellent possibility to produce an institutional platform where multi-agent and swarm algorithms could be implemented and tested. The used components and technologies allow easy replication and low-cost access, regardless of the global location. ARGroHBotS provides excellent advantages to research groups compared with commercial Robots. Copyright (C) 2021 The Authors.
This paper presents the design and development of a cost -oriented mobile robot for domestic assistance. The design of the mechanics, electronics and software necessary for the operation of the robot is detailed, as w...
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This paper presents the design and development of a cost -oriented mobile robot for domestic assistance. The design of the mechanics, electronics and software necessary for the operation of the robot is detailed, as well as the tests carried out to ensure its correct operation. Concluding that the controllers, kinematics, and odometry work correctly providing a measurement that is close to the real one. The developed robot can be easily equipped with multiple actuators to make it useful in different social tasks, such as: elderly supervision robot, medicine supply robot, companion robot for dependent people, telecare robot, among others. The robot design is focused on allowing its easy replication to be freely used in a large number of domestic applications. As future work, the development of a SLAM algorithm that allows the robot to operate autonomously is proposed. Copyright (C) 2021 The Authors.
The future operational use of Unmanned Aerial Vehicles (UAVs) depends on the level of safety that can be achieved during the flight. Sensing the environment, detecting and avoiding obstacles remains a challenging task...
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The future operational use of Unmanned Aerial Vehicles (UAVs) depends on the level of safety that can be achieved during the flight. Sensing the environment, detecting and avoiding obstacles remains a challenging task. This paper describes the system architecture of a demonstrator using stereo cameras for obstacle detection and avoidance. Furthermore, monocular cameras and Ultra-Wide-Band (UWB) are used for pose estimation and Simultaneous Localization and Mapping (SLAM) algorithms. (c) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Many crucial developments in the fast-growing area of evolutionary robotics take place not for real but for virtual robots. It is substantially easier to implement effective evolutionary search on a computer than on r...
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Many crucial developments in the fast-growing area of evolutionary robotics take place not for real but for virtual robots. It is substantially easier to implement effective evolutionary search on a computer than on real hardware level. In any case the evolution of virtual robots needs highly effective evolutionary algorithms. One of the reasonable choices is to use coevolutionary (or self-generating) algorithms. In this communication we demonstrate and discuss the efficacy of our approach to evolutionary computations called the Mobile Genetic Elements approach in comparison with other related techniques. We discuss efficacy of the approach for several known tests in the area of animats and virtual robots. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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