It is often difficult for a machine learning model trained based on a small size of
charge/discharge cycling data to produce satisfactory accuracy in the capacity estimation of …

Abstract Arabic Handwritten Text Recognition (AHTR) based on deep learning approaches
remains a challenging problem due to the inevitable domain shift like the variability among …

This paper proposes a vehicle detection method using transfer learning for two cameras with
different focal lengths. A detected vehicle region in an image of one camera is transformed …

This work considers robot keypoint estimation on color images as a supervised machine
learning task. We propose the use of probabilistically created renderings to overcome the …

We introduce an optimization method for recent approaches on keypoint-based pose
estimation of robotic manipulators utilizing monocular images. The method takes into …

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 …

The ability of robot motion controllers to quickly adapt to new environments is expected to
extend the applications of mobile robots. Using the concept of transfer optimization, this …

In the realm of robot action recognition, identifying distinct but spatially proximate arm
movements using vision systems in noisy environments poses a significant challenge. This …

In this work we investigate the coordination of human-machine interactions from a bird's-eye
view using a single panoramic color camera. Our approach replaces conventional physical …

In modern collaborative production environments where industrial robots and humans are
supposed to work hand in hand, it is mandatory to observe the robot's workspace at all …