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In this study, we applied reinforcement learning to actual quadrotor unmanned aerial vehicles (UAVs). It is expected that UAVs will contribute to multiple fields (e.g., rescue, sports, and entertainment). However, the autonomous control of UAVs is still a difficult problem to solve. We applied reinforcement learning to a UAV to achieve stable hovering. Q-learning, a common reinforcement learning method,...
3D printing, or adaptive manufacturing, has become a common tool to use when developing attachments for many different applications. In this paper, the viability of using inexpensive Fused Deposition Modelling 3D printing techniques to develop a housing to hold sensors is explored. The developed housing is not only required to hold the sensors, it also needs to be able to conform within the given...
This paper reports a study about the usefulness of guidance experiences offered at the University of Genoa to upper secondary students. The goal of the experiences is to provide students with sufficient knowledge to choose a university curriculum in Computer Engineering with an improved confidence. Unlike traditional methods, the key aspects are not presented in an information-oriented way, but relying...
Mobile Robotic System (MRS) is an automatic machine capable to move in it's environment to carry out task in field of logistic area. It is a battery or an electric motor operated Computer Controlled mobile transport system. The development of Mobile Robotic System is one of the areas of research. This paper presents the Identification and Parameter Control of Mobile Robotic System. Open loop response...
We describe a systematic approach used in integrating design for assistive technologies into an engineering capstone design course. Due to its mild winter weather, advanced healthcare facilities and affordable living costs, South Florida, attracts many seniors who, even in their advanced years, value the freedom of living at home over the safety of a nursing home. Assistive technologies, therefore,...
Disability of movement has huge impact on the life of physically disabled people. Therefore there is need to develop a robot which can be controlled using iris movement. Presently iris controlled robotic systems exist in which iris movement detection is done using MATLAB. This paper proposes a system which aims to design a robot controlled by iris movement. The system is designed using Raspberry Pi...
Background. The rise in cases of motor impairing illnesses demands the research for improvements in rehabilitation therapy. The study of robotics for enhancing motor recovery has been gaining momentum, but there is still little standardization of tools. Objectives. This paper shows the current development state of a proposed new robotic treatment platform, primarily geared towards post-stroke cases,...
Stereo vision is an active research topic in computer vision. Point Grey® Bumblebee® and digital single-lens reflex camera (DSLR) are normally found in the stereo vision research, they are robust but expensive. Open source electronic prototyping platforms such as Arduino and Raspberry Pi are interesting products, which allows students or researchers to custom made inexpensive experimental equipment...
The article provides an original method for obtaining kinematic models of solar panel deployment mechanisms, which is based on the principle of formalised description of mechanisms kinematics. The method is aimed at automation of the derivation of solar panel deployment kinematic equations both in numerical and analytical forms. This method can be successfully applied to various types of deployable...
Flooding disasters have led to heavy costs including enormous property losses and casualties. The biggest challenge lies in rescue operation is the low efficiency and the high security risk of rescuers, which is also a problem focused on by this work. Unmanned system is one of the solution that replace people in the rescue operation. However, there are still some obvious defects of unmanned system...
The primary concern of this study is to explore children's engagement and learning experiences in distant learning environments using three different videoconferencing technologies—two traditional screen-based videoconferencing technologies and a remotely-controlled telepresence robot. To truthfully capture the perspectives of the children, we employed multiple data collection methods—rating scales,...
In this video submission, we describe a scenario developed in the EMOTE project. The overall goal of the EMOTE project is to develop an empathic robot tutor for 11–13 year old school students in an educational setting. The pedagogical domain here is to assist students in learning and testing their map-reading skills typically learned as part of the geography curriculum in schools. We show this scenario...
Social presence has two opposing effects on human corruption: the collaborative and contagious nature of another person's presence can cause people to behave in a more corrupt manner. In contrast, the monitoring nature of another person's presence can decrease corruption. We hypothesize that a robot's presence can provide the best of both worlds: Decreasing corruption by providing a monitoring presence,...
It proposes a new detection system to detect handlebar appearance based on machine vision technology. This system is mainly composed of motor drive module, communication module, image processing module, operation control module, etc. System mainly uses image processing technology to process the information of detected object collected by camera in order to determine whether the detected object can...
Thermal convection and fluid flow in porous media has gained increasing research interest in recent years due to the presence of porous media in many engineering applications. Rough set theory has been regarded as a powerful feasible and effective methodology in the performance of data mining and knowledge discovery activities. This paper introduce a method for building knowledge for the rate of heat...
A balanced team formation method is described for tasks with deadlines in multi-agent systems. With the advances that have been made in computer and network technologies, tasks that are achieved by multiple software/hardware entities are often required in many real-world applications. In addition, these tasks are usually required to be done by specified deadlines to avoid a failure of services or...
We present and analyze a hybrid computational architecture for performing multi-agent optimization. The optimization problems under consideration have convex objective and constraint functions with mild smoothness conditions imposed on them. For such problems, we provide a primal-dual algorithm implemented in the hybrid architecture, which consists of a decentralized network of agents into which an...
Provides an abstract for each of the presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Provides an abstract for each of the plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Teaching students how to code in K-12 classrooms is considered as one of the major keys to promoting engineering education in the future, which can potentially enhance the competency and computational skills of students to adhere better learning outcomes in higher education. The success of promoting coding education or integrating it into school curriculum depends on the perceptions of teachers and...
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