Agricultural Cyber-Physical Systems: Research Progress in Perception-Driven Multi-Robot Coordination and Logistics in Unstructured Environments
Jun Zhang, Tiantian Jing, Ziqi Tian, Honglei Zhang, Dong Lv, Zhong Tang · 2026
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Description
Jun Zhang and co-authors review progress in farm cyber-physical systems, with a focus on teams of robots that sense their setting and coordinate harvest and transport work, in a 2026 paper. A shrinking farm workforce and the global Zero Hunger goal push farms toward automation. Moving crops from field to storage across rough, unstructured ground is a core task for such systems.
The review traces a leap in mapping, from flat geometric maps to rich three-dimensional semantic models. These fuse laser scans, drone images, and spatial data, and can feed digital twin systems that predict what comes next. It then turns to planning methods. The field is shifting from central operations research to decentralized, data-driven multi-agent approaches.
Catalog record
| CREATOR | Jun Zhang, Tiantian Jing, Ziqi Tian, Honglei Zhang, Dong Lv, Zhong Tang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 123 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |