A Stewart platform is a six-degree-of-freedom parallel manipulator widely used as the motion base for flight simulators and antenna positioning systems, among others. This work presents a novel mechatronics-twin frame...
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A Stewart platform is a six-degree-of-freedom parallel manipulator widely used as the motion base for flight simulators, antenna positioning systems, machine tool technology, etc. This work presents a novel mechatroni...
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This paper aims to provide a systematic review of the published results on design optimization techniques in the area of compliant and soft robots, with a focus on the manufacturing processes, actuation methods and ap...
This paper aims to provide a systematic review of the published results on design optimization techniques in the area of compliant and soft robots, with a focus on the manufacturing processes, actuation methods and application areas. The goal of this work is to provide a comprehensive view and categorization of recent efforts using optimization for improving the design paradigms of such robot technologies, while focusing on the popular methods of topology optimization and generative design. In addition, this paper provides insights into the technical and technological trends that could potentially steer this area towards widespread adoption in domestic and industrial settings.
This article presents a novel emotionally expressive robot platform targeting social engagement with children. This platform was implemented in accordance with UNICEF’s policy guidance on artificial intelligence (AI)...
This article presents a novel emotionally expressive robot platform targeting social engagement with children. This platform was implemented in accordance with UNICEF’s policy guidance on artificial intelligence (AI) for children, focusing on factors such as safety, transparency, reliability and explainability. The robot prototype is presented from a design and development perspective, outlining all utilized electromechanical components that enable its 11 degrees-of-freedom and sensing functions. Preliminary evaluation results are provided in terms of dependability and expressiveness of basic emotions, thus demonstrating the robot’s potential to facilitate trustworthy and secure interactions with children.
In this study, we propose a novel family of onset and offset detection algorithms for electromyographic (EMG) signals, based on the Teager-Kaiser Energy Operator (TKEO). These algorithms are derived from an existing d...
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ISBN:
(数字)9781665406734
ISBN:
(纸本)9781665406741
In this study, we propose a novel family of onset and offset detection algorithms for electromyographic (EMG) signals, based on the Teager-Kaiser Energy Operator (TKEO). These algorithms are derived from an existing double-threshold statistical detector, which is modified to use Shifted Skew Log Laplace Distribution (SSLLD) probabilities and likelihoods to take advantage of the improved TKEO SNR ratio. The performance of the proposed algorithms are compared against existing approaches on synthetic EMG signals generated using an heteroscedastic autoregressive Gaussian model.
We present the integration of a Non-Axiomatic Reasoning System (NARS) with mobile robots for planning and decision making. NARS enables robots to effectively handle uncertainty in real-time with complete sensor and ac...
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ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
We present the integration of a Non-Axiomatic Reasoning System (NARS) with mobile robots for planning and decision making. NARS enables robots to effectively handle uncertainty in real-time with complete sensor and actuator integration, thereby ensuring adaptability to evolving scenarios. We discuss essential parts of the logic, the architecture and working principles of NARS, and the integration of NARS as a ROS node. A case study is provided demonstrating the system’s proficiency to carry out a garbage collection task in an open-air environment by operating a mobile robot with manipulator arm, and we demonstrate its ability to learn about the place-dependent accumulation of garbage items. Case study also reveals that our approach performs more effectively on the overall task than the Belief-Desire-Intention model we compared with.
Model-based systems engineering (MBSE) has been accepted as an extremely important approach to understanding the multi-domain research field comprehensively. In this paper, a bibliometric analysis is used to conduct a...
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Model-based systems engineering (MBSE) has been accepted as an extremely important approach to understanding the multi-domain research field comprehensively. In this paper, a bibliometric analysis is used to conduct a comprehensive survey of model-based systems engineering literature of the last five years. The VOSViewer is used to implement visual network analysis for co-authorship, citation, and co-occurrence of the MBSE related papers. The results of the bibliometric study, firstly, reveal the influential research teams and sources. Secondly, research hotspots in the current MBSE domain are identified. The findings of this study aim to help researchers to gain a faster and deeper understanding of the current literature on MBSE.
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