NiiL

Method Development and Equipment Design for Product Recognition, Picking and Stacking (제품인식, 피킹 및 적재를 위한 기법개발 및 장비설계)

3D product localization and picking/stacking candidate estimation.

Visual Intelligence & Logistics

2017-07-24 – 2017-12-21 · Completed

Korea Railroad Research Institute (KRRI)

Research

  • Recognition data and models for refrigerated products such as cartons, bottles, cups and boxes.
  • 3D imagery for object localization and robot approach estimation.
  • Loading candidates in free space and position interfaces for the manipulator.

The 2017 task specified a position-error target of 10 mm.