IEEE

Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments

Abstract: 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.
GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
GitHub

raine0001/Golf-Swing-Pose-Analysis-Model-Based-on-YOLOv11-Pose

Ultralytics YOLO11 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and ...
IEEE

Versatility of Low-Resolution Tactile Sensing for Edge and Pose Detection

Abstract: The paper explores the potential of low-resolution tactile sensors for edge and pose detection in robotics. We emphasise the efficiency and affordability of these sensors compared to ...