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Data · dataset · 2026

Target Object Pose Estimation Algorithm for Eye-in-Hand Binocular Vision Systems

Listed in Teesside University Research Data Repository

This work presents an eye-in-hand binocular vision calibration algorithm.

Description

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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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/gstmy5tzdv.117 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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