Technology Scientists

  Future space exploration increasingly targets small celestial bodies such as asteroids, but these missions confront substantial challenges due to unknown environmental dynamics and limited prior knowledge. Ensuring a safe and precise landing on these irregular bodies requires highly intelligent and adaptable autonomous systems. The presented study proposes a robust adaptive guidance framework that synergistically combines meta-reinforcement learning with Monte Carlo Tree Search (MCTS) to meet these demands. The approach aims to accelerate the learning process while enhancing adaptability to uncertain, dynamic asteroid environments. Through simulations, this methodology demonstrates high robustness and reliability, making it a promising direction for next-generation space missions. Meta-Reinforcement Learning for Space Robotics Meta-reinforcement learning (meta-RL) is central to the proposed guidance strategy, as it enables rapid generalization across varying asteroid environme...

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  This research explores a cutting-edge solution to the cooperative output regulation problem in multi-agent systems through a novel energy-dependent intermittent event-triggered compensator . Unlike traditional time-triggered or continuous communication strategies, this method introduces an intelligent mechanism that monitors the real-time error energy to determine whether communication is necessary. It flexibly segments the system's operational area into three regions—defined by a safety boundary and an intermittence boundary—allowing the agents to adapt their communication patterns based on situational demand. The strategy not only ensures system stability and regulation convergence but also significantly reduces communication overhead, which is crucial for bandwidth-limited and energy-constrained networks. Energy-Dependent Intermittent Compensator Design The heart of this research lies in designing an intermittent compensator that dynamically governs agent communication by asse...

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Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact :  support@technologyscientists.com

  Monoclinic n-type bismuth vanadate (BiVO₄) has emerged as a benchmark photoanode material for solar-driven photoelectrochemical (PEC) water splitting due to its ideal band alignment with water redox potentials, ease of synthesis, and high charge extraction efficiency. Despite these advantages, BiVO₄ suffers from several intrinsic limitations such as a relatively wide band gap, low electronic conductivity, and high recombination rates that hinder its practical PEC performance. Addressing these challenges requires a fundamental understanding of how to engineer the material’s electronic and optical properties—especially through doping and defect manipulation. This research investigates the effects of non-metal doping and intrinsic vacancies, paving the way for performance-optimized BiVO₄ photoanodes. Electronic Structure Tuning through Nitrogen Doping The substitution of nitrogen into the BiVO₄ lattice significantly alters its electronic structure, leading to a reduction in band ...