Search alternatives:
marked decrease » marked increase (Expand Search)
learning force » learning curve (Expand Search), learning from (Expand Search)
force decrease » fold decrease (Expand Search), forces increased (Expand Search)
marked decrease » marked increase (Expand Search)
learning force » learning curve (Expand Search), learning from (Expand Search)
force decrease » fold decrease (Expand Search), forces increased (Expand Search)
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Analysis of the tangential force of the obstacle.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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Experimental setup under ablation experiments.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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Obstacle uniform linear motion scenarios.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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Table of values for <i>p.</i>
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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Static obstacle avoidance scene setup.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”
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The schematic diagram of the region <i>O</i><sub>1</sub>.
Published 2025“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”