This paper focuses on the modeling of a recommendation process for the restaurant industry. It is a challenge job for a restaurant owner to ascertain the intentions of customers to evaluate their services, further imp...
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This paper introduces a novel, computationally efficient, random-search based path-planning algorithm specifically designed to enhance the dexterous accessibility of autonomous lunar rovers operating on highly clutter...
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Conventional approaches to Federated Deep Reinforcement Learning (FDRL) often mandate the participation of all the associated devices and perform indiscriminate aggregation of the models. This can, at times, culminate...
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Identifying Jackfruit spices using a deep learning model involves leveraging advanced neural network architectures to classify spices accurately. The model is trained on a dataset containing images of various spices c...
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Robotic manipulation tasks in dynamic and unstructured environments present significant challenges for traditional control procedures. Deep reinforcement learning (DRL) has appeared as a powerful technique to enable r...
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There is a burgeoning interest in the field of Reinforcement Learning (RL) across various domains, including robotics. Traditional control approaches for robotic systems, such as semi-definite programming (SDP) or mix...
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Recent advances in Large Language Models (LLMs) have been instrumental in autonomous robot control and human-robot interaction by leveraging their vast general knowledge and capabilities to understand and reason acros...
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The system of automatic control of an object with interval parameters is considered. Its model is represented by a characteristic polynomial with interval coefficients, which linearly include adjustable controller par...
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The article deals with the problem of determining the parameterizations of a linear controller that provides aperiodic transient processes in a system with interval parameters. To cope with the above mentioned issue, ...
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We are examining a system that stabilizes a cable's verticality using interval parameters. We have developed a third-degree characteristic polynomial with interval coefficients to achieve optimal performance. The ...
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