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Showing 1 to 3 of 3 for “"Learning for Robotics"”.
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Efficient and Robust Deep Learning for Robotics
L'abstract è presente nell'allegato / the abstract is in the attachment
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Safe and adaptive reinforcement learning for robotics applications
In recent years, learning-based control methods, especially those leveraging the power of reinforcement learning (RL) and deep learning, have demonstrated impressive performance in complex robotics control tasks. However, they often suffer from the lack of safety and robustness guarantees, which …
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INFORMED EXPLORATION ALGORITHMS FOR ROBOT MOTION PLANNING AND LEARNING
… methods have emerged as a promising technique for solving robot motion-planning problems. These algorithms avoid a priori discretization of the search-space by generating random samples and building a graph online. While the recent advances in this area endow these randomized planners with …