2026-04-17T01:09:04Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/4470112025-12-06T10:32:08Zcom_2072_1033col_2072_452951
RECERCAT
author
Guimerà Roig, Sergi
2025-12-06T10:32:08Z
2025-12-06T10:32:08Z
2025-06-30
http://hdl.handle.net/2117/447011
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.
Restricted access - confidentiality agreement
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
Bachelor thesis