Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
Abstract: Impedance control with fixed parameters lacks the flexibility to adapt to dynamic and uncertain environments, which may not meet the task requirements during robot-environment interaction.
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...
This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.
Abstract: In this paper, a cooperative navigation method for multi-leader mode under short-term disturbed or missing condition of measurement information is proposed. The position information ...
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