2026-04-17T08:08:05Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4470112025-12-06T10:32:08Zcom_2072_1033col_2072_452951

00925njm 22002777a 4500 dc Guimerà Roig, Sergi author 2025-06-30 This thesis focuses on the exploration and evaluation of various computer vision algorithms to calculate and mitigate the offset of an end-effector camera. Focusing on ARUCO markers, the project investigates and compares methods for precise camera calibration. By analyzing and determining the most effective methods, this work aims to improve the precision and reliability of camera alignment in robotic systems, enabling enhanced performance in tasks requiring accurate visual feedback. http://hdl.handle.net/2117/447011 Àrees temàtiques de la UPC::Informàtica::Robòtica Robotics Computer vision Automatic control Hand-eye Efector final Calibració de càmera Distorció de càmera Matriu de càmera Park Daniilidis Tsai Fisheye Ull de peix Opencv ArUco Taulell d'escacs Perspectiva des de n punts Hand-eye End-effector Camera calibration Camera distortion Camera matrix Park Daniilidis Tsai Fisheye Opencv ArUco Chessboard Perspective-n-Point Robòtica Visió per ordinador Control automàtic Calibration and Offset Mitigation of End-Effector Cameras Using ARUCO Markers