Target Object Pose Estimation Algorithm for Eye-in-Hand Binocular Vision Systems
Published: 5 May 2026| Version 1 | DOI: 10.17632/gstmy5tzdv.1
Contributor:
磊 卢Description
This work presents an eye-in-hand binocular vision calibration algorithm. Utilizing stereo vision to acquire target information, a robotic vacuum gripper is employed to perform object grasping. The proposed algorithm accurately estimates the object's pose and determines the optimal grasping configuration.
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Institutions
- Soochow UniversityJiangsu, Suzhou
Categories
Binocular Vision, Robot