Teleoperation Task

Teleoperation tasks involve remotely controlling robots, aiming to seamlessly extend human dexterity and capabilities to distant or hazardous environments. Current research emphasizes improving user experience and performance through advanced shared control strategies, often incorporating machine learning algorithms like dynamical systems and variable stiffness control to blend autonomous assistance with human input, and exploring diverse interfaces such as virtual and augmented reality, and even smartwatches. These advancements are significant for diverse applications, including minimally invasive surgery, hazardous material handling, and remote scientific experimentation, improving efficiency, precision, and safety in these demanding contexts.