Tag: trajectory tracking

A new simulation study shows that a disturbance-observer-based adaptive neuro-fuzzy sliding mode controller tuned by a chaotic grey wolf optimizer ...

A simulation study reports that a model-free TD3 deep reinforcement learning controller outperforms PID and fuzzy benchmarks in trajectory tracking ...

A hospital pilot found a ROS 2-based robotic rehabilitation platform technically flawless yet rated only moderately usable by physiotherapists, with ...

A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while optimized adaptive ...

Experiments on an underactuated two-degree-of-freedom control moment gyroscope found that online adaptive neural control improved tracking-error performance by 89.7% under ...

Researchers combined artificial potential field trajectory planning with a discrete integral terminal sliding mode controller to let a Mecanum-wheeled omnidirectional ...

Researchers have developed a cable-driven skating training robot controlled by a novel fractional-order active disturbance rejection strategy that significantly reduces ...

Researchers in China have combined an online-learning radial basis function neural network with super-twisting sliding-mode control to achieve chattering-free, high-precision ...

Researchers in Algeria showed that reinforcement learning agents can retune a standard PID drone controller in real time within safety ...

Researchers have developed an adaptive fuzzy dynamic surface control strategy that guarantees finite-time trajectory tracking for unmanned helicopters despite input ...