Hand-eye calibration is a critical task in robotics, as it directly affects the efficacy of critical
operations such as manipulation and grasping. Traditional methods for achieving this …

Robot pose estimation plays a fundamental role in various applications involving service
and industrial robots. Among the methods used for robot pose estimation from a single …

This study addresses the problem of hand–eye calibration in robotic systems by developing
Continual Learning (CL)-based approaches. Traditionally, robots require explicit models to …

In this study, we rediscovered the framework of generative adversarial networks (GANs) as a
solver for calibration problems without data correspondence. When data correspondence is …

Grape thinning is a labor-intensive task in viticulture that involves selectively removing grape
clusters to improve overall fruit quality. The integration of robotics and artificial intelligence …

The cameras are the main sensor for robots to perceive their environments because they
provide high-quality information and their low-cost. However, transforming the information …

Hand-eye calibration plays a fundamental role in robotics by directly influencing the
efficiency of critical operations such as manipulation and grasping. In this work, we present a …