2026
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
RA-L 2026
Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challenges. Federated Learning (FL) offers a privacy-preserving solution, but its application to GPD is hindered by the substan