Deep Predictive Model with Parametric Bias: Handling Modeling Difficulties and Temporal Changes in Robot Dynamics

Deep Predictive Model with Parametric Bias (DPMPB) is a learning-based approach that can handle complex modeling difficulties and temporal changes in robot dynamics, enabling adaptive control of robots in real-world environments.