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Data · dataset · 2026

Binocular Vision-Based Hand-Eye Calibration for Robotic Grasping Tasks

Listed in Teesside University Research Data Repository

This work presents an eye-to-hand calibration algorithm.

Description

Utilizing binocular vision to acquire target information, a robotic vacuum gripper is employed to perform object grasping. The proposed binocular vision system accurately estimates the object's pose and determines the optimal grasping configuration.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/r82xrxsdd7.116 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title