J. Ernesto Solanes

TL;DR: In this paper, a two-step algorithm is presented, in the first step, a new pre-processing step (image fusion algorithm) is introduced to enhance the contrast between pixels with a low level of intensity (indicating the presence of defects) and those with a high level of severity (signifying the absence of defects), for the second step, an image background extraction approach based on a local directional blurring method and a modified image contrast enhancement, which enables detection of defects in the entire illuminated area.

TL;DR: The main advantages of the proposed hybrid position-force control of robots in order to apply surface treatments such as polishing, grinding, finishing, deburring, etc. are increased robustness and low computational cost.

TL;DR: A novel mixed reality-based user interface for quality control inspection which is more intuitive, in order to improve the ergonomics of workers, reduce their stress at work and improve the productivity of current quality control production lines is presented.

TL;DR: This work develops an advanced teleoperation and control system for industrial robots in order to assist the human operator to perform the mentioned tasks and uses augmented virtuality and haptic feedback to provide the user an immersive virtual experience when remotely teleoperating the tool of the robot system to treat arbitrary regions of the workpiece surface.

TL;DR: In this paper, the authors proposed a new approach to detect defects cataloged as dings and dents on car body surfaces, which is currently one of the most important issues facing quality control in the automotive industry.