This paper describes a robot vision golfing system. The Automated Robotic Navigational unit with Intelligent Eye and Putter (ARNIE P) τ project was initiated to investigate the problems and develop software solutions...
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This paper describes a robot vision golfing system. The Automated Robotic Navigational unit with Intelligent Eye and Putter (ARNIE P) τ project was initiated to investigate the problems and develop software solutions for robotic tasks that require good hand-eye coordination and an intelligent sensor feedback mechanism. This system has only one frame buffer and no specialized hardware, so quasi-real time 3D tracking is accomplished in software using the Unix Spline facility. The single frame buffer and digitizer, stores and retains the location of the ball from two separate cameras during the time interval between the golf ball initially crossing a trigger scan line and the ball coming to a complete stop. The most novel aspect of this study is that by attempting to build or model a difficult perceptory task such as golf, which requires integrating many complicated computational pieces (binocular stereo vision, robot arm motion, heuristic feedback, learning), it appears to be a good plarform to experiment with artificialintelligence techniques and robotics.
A new model is introduced for avoiding accidents where a tugboat capsizes or trips when towing a larger vessel. The development of the Tripping Avoidance Knowledge Base (TAKB) is described in terms of the relevant des...
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A new model is introduced for avoiding accidents where a tugboat capsizes or trips when towing a larger vessel. The development of the Tripping Avoidance Knowledge Base (TAKB) is described in terms of the relevant descriptive parameters, the graphical representation of the knowledge base and its conversion to a decision matrix is also shown. As with any AI application in a new and promising area, there are many unclear points which this paper highlights. The paper closes with the authors' recommendations for future development and refinement of the knowledge base.
In recent years, there has been a growing interest in leveraging the metaverse to enhance community engagement and healthcare. This paper provides a comprehensive examination of wearable devices and sensors utilized w...
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In recent years, there has been a growing interest in leveraging the metaverse to enhance community engagement and healthcare. This paper provides a comprehensive examination of wearable devices and sensors utilized within immersive environments to improve well-being and healthcare outcomes. We categorize the healthcare application domains that employ wearable devices and identify commonly used devices and sensors based on a thorough review of the literature. Our study offers a detailed summary of these applications, highlighting their potential to enhance overall quality of life through remote monitoring, rehabilitation, and chronic disease management. Furthermore, we address existing research gaps and challenges in this field, offering insights for future research directions. This meta-review emphasizes the need for further exploration in the rapidly evolving domain of wearable healthcare technologies within the metaverse, presenting an overview of the current state of wearable devices in healthcare and underscoring their significance in advancing healthcare delivery and outcomes.
The Metaverse presents an emerging creative expression and collaboration frontier where generative artificialintelligence (GenAI) can play a pivotal role with its ability to generate multimodal content from simple pr...
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The Metaverse presents an emerging creative expression and collaboration frontier where generative artificialintelligence (GenAI) can play a pivotal role with its ability to generate multimodal content from simple prompts. These prompts allow the metaverse to interact with GenAI, where context information, instructions, input data, or even output indications constituting the prompt can come from within the metaverse. However, their integration poses challenges regarding interoperability, lack of standards, scalability, and maintaining a high-quality user experience. This paper explores how GenAI can productively assist in enhancing creativity within the contexts of the Metaverse and unlock new opportunities. We provide a technical, in-depth overview of the different generative models for image, video, audio, and 3D content within the Metaverse environments. We also explore the bottlenecks, opportunities, and innovative applications of GenAI from the perspectives of end users, developers, service providers, and AI researchers. This survey commences by highlighting the potential of GenAI for enhancing the Metaverse experience through dynamic content generation to populate massive virtual worlds. Subsequently, we shed light on the ongoing research practices and trends in multimodal content generation, enhancing realism and creativity and alleviating bottlenecks related to standardization, computational cost, privacy, and safety. Lastly, we share insights into promising research directions toward the integration of GenAI with the Metaverse for creative enhancement, improved immersion, and innovative interactive applications.
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