This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical ...
Abstract: Deep neural networks have become a key technology in Power Line Inspection Models. Traditional methods for training deep neural networks mostly use gradient descent optimization algorithms.
This research focuses on developing a reinforcement learning (RL)-based control method for autonomous operations of a small hydraulic excavator (SANY SY19E), which can autonomously execute a full ...
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