This paper explores how technology-enhanced artefacts can augment storytelling experiences for pre-school and school-aged children, particularly when utilised with puppets or doll-like figures. It presents a systemati...
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ISBN:
(纸本)9783031735370;9783031735387
This paper explores how technology-enhanced artefacts can augment storytelling experiences for pre-school and school-aged children, particularly when utilised with puppets or doll-like figures. It presents a systematic literature review focusing on this specific application of technology in storytelling. The analysis employs a four-lens framework to evaluate the integration of technology in children's storytelling, assess the alignment with STEM learning goals, and finally, investigate the facilitation of open-ended and collaborative storytelling by children.
The paper reviews the technology integration in STEM education within the scope of an Integrated intelligent Educational Environment (IIEE). A conceptual model of such an environment is suggested. The model consists o...
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The paper reviews the technology integration in STEM education within the scope of an Integrated intelligent Educational Environment (IIEE). A conceptual model of such an environment is suggested. The model consists of an intelligent Educational System that communicates through a gateway with sensors and actuators within the integrated environment. A possible usage of different technology devices within IIEE regarding STEM education is proposed. A common information model for both sensors and actuators is presented. A custom packet-based communication protocol is designed to support multiple wired and wireless communication media. IIEEs that include various technological devices provide an explorative and engaging context for STEM education. Toolkits for projects on engineering and technology can be prepared and play an active role in STEM classrooms. Copyright (C) 2024 The Authors.
We propose an estimator that estimates unknown parameters of a grasped object and the position and velocity of a two-finger independently controlled robotic hand. The proposed estimator consists of a coordinate transf...
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ISBN:
(纸本)9798331517939;9788993215380
We propose an estimator that estimates unknown parameters of a grasped object and the position and velocity of a two-finger independently controlled robotic hand. The proposed estimator consists of a coordinate transformation from the original system to an observable canonical form and applying Kreisselmeier's observer. We demonstrate that the unknown parameters are estimated using the proposed estimator as the main theorem. The effectiveness of the proposed method was experimentally evaluated using an actual robotic hand.
This paper presents the control of a linearized Maglev system, which is obtained using the Isidori feedback linearization method. In this system, the gravitational force is considered as a disturbance, and strictly sp...
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ISBN:
(纸本)9798350364309;9798350364293
This paper presents the control of a linearized Maglev system, which is obtained using the Isidori feedback linearization method. In this system, the gravitational force is considered as a disturbance, and strictly speaking its presence prevents the application of this methodology since it cannot be decoupled through pure feedback linearization. In fact, the relative degree of the disturbance with respect to the position is less than the relative degree of the input with respect to the position. For this reason, an additive impulsive action is used for approximative cancellation of this constant. The linearized system is then controlled using a PIDD2, through the classical root-locus method, and the results are evaluated based on simulation studies. For the utilization of state variables and system parameters in the control laws, an extended Kalman filter is employed within the loop, rendering this an advanced modelbased feedback control strategy.
This paper proposes a method to automatically generate consecutive formation transition paths of multiple agents, such as in unmanned aerial vehicle (UAV) shows, considering the reduced total travel distance as well a...
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ISBN:
(纸本)9781665499248
This paper proposes a method to automatically generate consecutive formation transition paths of multiple agents, such as in unmanned aerial vehicle (UAV) shows, considering the reduced total travel distance as well as fair travel distances of individual agents. A UAV show is a type of entertainment where various artistic formation patterns are presented in the air by UAV agents, such as drones. Although several studies discussed the formation transition for UAV shows by considering the minimization of the total travel distance, few of them considered the fairness in moving distances among agents and transitions for long distances, which result in battery runout and shorter performance times. Moreover, as a UAV show is performed by several agents, their battery capacities are usually not large;however, the performance time is affected by battery consumption. Our proposed method, which is based on ant colony optimization (ACO), enables agents to present longer performances in 3D space by considering the fairness in travel distance. Experiments showed that agents could perform approximately 20% more formation patterns without collisions with our proposed method based on ACO than those with the conventional method that is also based on ACO.
Traffic signal control (TSC) has seen substantial advancements through the application of reinforcement learning (RL) algorithms, which have shown remarkable potential in enhancing traffic flow efficiency. These RL-ba...
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ISBN:
(纸本)9798350377712;9798350377705
Traffic signal control (TSC) has seen substantial advancements through the application of reinforcement learning (RL) algorithms, which have shown remarkable potential in enhancing traffic flow efficiency. These RL-based approaches often surpass traditional rule-based methods, particularly in dynamic traffic environments. However, current RL solutions for TSC predominantly rely on model-free methods, necessitating extensive environmental interactions during training. This requirement can be prohibitively expensive or unfeasible in real-world implementations. Furthermore, existing methods have frequently neglected the issue of fairness in multi-intersection control, resulting in unbalanced congestion across different intersections. To address these challenges, we present FM2Light, a fairness-aware model-based multi-agent RL framework for TSC. Our approach leverages an ensemble of global world models for generating synthetic samples to enhance sample efficiency, thereby mitigating the data-intensive nature of the training process. Additionally, FM2Light incorporates a refined reward structure to promote fairness and improve coordination across multiple intersections. Extensive evaluations conducted in diverse real-world scenarios demonstrate that FM2Light achieves performance comparable to or exceeding that of model-free RL (MFRL) methods, while significantly reducing sample requirements and ensuring more equitable control among multiple agents.
The healthcare sector is increasingly adopting intelligentsystems to address the growing demand of medical services. The system transforms medical services by leveraging advanced computational techniques and healthca...
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Recently, the number of smart manufacturing factories utilizing robot-based logistics systems is increasing. In order to automate the robot-based transportation system, supply, and recovery of logistics (parts, finish...
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ISBN:
(纸本)9798331517939;9788993215380
Recently, the number of smart manufacturing factories utilizing robot-based logistics systems is increasing. In order to automate the robot-based transportation system, supply, and recovery of logistics (parts, finished products, etc.) within a factory, various types of robots that can drive and process logistics are needed. Robots equipped with self-driving algorithms, like mobile manipulators, play a role in handling logistics lifting and unloading and transportation, allowing the process to be changed flexibly, and unlike existing logistics, they are capable of producing a variety of products in small quantities. Therefore, in smart manufacturing plants, a method of cooperating between mobile manipulators suitable for the process and robots that only perform transportation is needed for production efficiency. In this paper, we propose a cooperation method between mobile manipulators and transportation robots for logistics picking and placement. It is expected that smart factory logistics automation and flexible production will be possible using the proposed method.
With the rapid development and popularization of the Internet today, mechanical processing enterprises should not only adapt to new situations, but also reorganize various business processes. This article uses the Web...
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With the transformation towards industrial intelligence, multi-core processors are increasingly being applied in real-time networked controlsystems to ensure secure execution of sensing, computing and actuating tasks...
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ISBN:
(纸本)9798350354416;9798350354409
With the transformation towards industrial intelligence, multi-core processors are increasingly being applied in real-time networked controlsystems to ensure secure execution of sensing, computing and actuating tasks under time constraints. However, existing scheduling methods result in either low CPU utilization or many missed task deadlines in dynamic systems. In this paper, we propose a two-layer scheduling architecture to address this issue by fully exploring the complex dependency between real-time tasks. To be specific, the local layer determines task execution priorities considering both dependency between tasks and deadline constraints by utilizing a reinforcement learning approach. Moreover, to better utilize the parallel capabilities of multi-core processors and reduce temporal collisions, this paper minimizes the requested core count for the task set based on a greedy strategy. The global layer designs a scheduling algorithm based on the preempt method and provides schedulability analysis of multiple task sets. Experimental results validate the correctness of the proposed scheduling approach, and efficiency is demonstrated through comparisons with baseline method.
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