| Creators: |
Siddiqui, Md Khalid and Kressel, Jonathan and Grinninger, Jürgen |
| Title: |
Technologies for Assisting Manual Order Picking
From conventional pick-by systems to AI-driven manual picking assistance |
| Item Type: |
Article or issue of a publication series |
| Projects: |
TTZ Leipheim |
| Journal or Series Title: |
Industry 4.0 Science |
| Page Range: |
pp. 6-19 |
| Additional Information: |
Open Access |
| Date: |
12 August 2025 |
| Divisions: |
Informationsmanagement |
| Abstract: |
Manual picking remains common due to the high initial cost of support systems. This paper reviews existing technologies, presents an exploratory vision-based prototype, and examines existing literature that explores how combining object detection with language systems could enhance manual workflows. The findings suggest a promising, low-cost direction for worker support in logistics. |
| Forthcoming: |
No |
| Main areas or research: |
Mobility & Logistics |
| Language: |
English |
| Uncontrolled Keywords: |
Computer Vision, cost‑efficient automation, human‑AI interaction, Industrie 4.0, Industry 4.0, Large Language Models, logistics, Logistik, multimodal AI, order picking, picking assistance systems, quality assurance, real‑time object detection, smart manufacturing, warehouse logistics |
| Link eMedia: |
Download |
| Citation: |
Siddiqui, Md Khalid and Kressel, Jonathan and Grinninger, Jürgen
(2025)
Technologies for Assisting Manual Order Picking
From conventional pick-by systems to AI-driven manual picking assistance.
Industry 4.0 Science, 41 (4).
pp. 6-19.
ISSN 2942-6162
|
