IEEE

TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer

Abstract: Model-based RL is a promising approach for real-world robotics due to its improved sample efficiency and generalization capabilities compared to model-free RL. However, effective model-based ...
IEEE

Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer

Abstract: Solving the camera-to-robot pose is a fundamental requirement for vision-based robot control, and is a process that takes considerable effort and cares to ...