Robotics, Reinforcement Learning, Machine Learning, Computer Vision, Simulation.
it can be difficult to predict exactly how a piece of cloth will behave in the real world, and the robot must be able to adapt and adjust its actions accordingly. To address the Sim2Real gap, it is important to use methods that can learn robust and generalizable policies that can perform well in a