Sim2real Strategy

Sim-to-real (Sim2Real) strategies aim to bridge the gap between simulated and real-world robotic environments, enabling efficient training of robotic control policies in simulation and their successful transfer to real robots. Current research focuses on improving the realism of simulations, often employing techniques like 3D Gaussian splatting for enhanced rendering and graph-based frameworks for managing the complexities of real-world interactions, including incorporating safety constraints and handling asynchronous control. Successful Sim2Real transfer is crucial for accelerating robotics development, reducing the cost and risk associated with real-world training, and ultimately enabling more robust and adaptable robotic systems.