Combining domain randomization and reinforcement learning is a widely used approach to
obtain control policies that can bridge the gap between simulation and reality. However …

In this manuscript, new combination methodology is proposed, which named combining
Passivity-Based Control and Linear Quadratic Regulator (for short, CPBC-LQR), to support …

Visual control enables quadrotors to adaptively navigate using real-time sensory data,
bridging perception with action. Yet, challenges persist, including generalization across …

In this study, a controller design method based on the LQR method and BAT algorithm is
presented for the Furuta pendulum stabilization system. Determine the LQR controller, it is …

The ability to mentally evaluate variations of the future may well be the key to intelligence.
Combined with the ability to reason, it makes humans excellent at handling new and …

In this work, we propose an optimal control strategy that is robust and capable of running
real-time for nonlinear underactuated systems. Our method combines an optimization-based …