Learning for Depth Control of a Robotic Penguin: A Data-Driven Model Predictive Control Approach
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DOI: 10.1109/tie.2022.3225840
Abstract: For bionic underwater robots, it is a great challenge for depth control due to model uncertainty and strong nonlinearity. To this end, we propose a data-driven model predictive control (MPC) approach using reinforcement learning (RL)… read more here.
Keywords: driven model; control; data driven; robotic penguin ... See more keywords