Human–robot interaction in agriculture: A survey and current challenges
| Autor: | George Kantor, Fernando Auat Cheein, Juan Pablo Vasconez |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 010401 analytical chemistry Soil Science Context (language use) 04 agricultural and veterinary sciences 01 natural sciences Manual labour Field (computer science) Human–robot interaction 0104 chemical sciences Risk analysis (engineering) Control and Systems Engineering Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Robot Profitability index business Agronomy and Crop Science Productivity Food Science |
| Zdroj: | Biosystems Engineering. 179:35-48 |
| ISSN: | 1537-5110 |
| DOI: | 10.1016/j.biosystemseng.2018.12.005 |
| Popis: | Human–robot interaction (HRI) is an extensive and diverse research topic that has been gaining importance in last years. Different fields of study have used HRI approaches for solving complicated problems, where humans and robots interact in some way to obtain advantages from their collaboration. Many industrial areas benefit by applying HRI strategies in their applications, and agriculture is one of the most challenging of them. Currently, field crops can reach highly autonomous levels whereas speciality crops do not. In particular, crops such as fruits and vegetables are still harvested manually, and also some tasks such as pruning and thinning have long been considered to be too complex to automate completely. In addition, several countries face the problem of farm labour shortages. As a consequence, the production process is affected. In this context, we survey HRI approaches and ap-plications focused on improving the working conditions, agility, efficiency, safety, productivity and profitability of agricultural processes, in cases where manual labour cannot be replaced by but can be complemented with robots. |
| Databáze: | OpenAIRE |
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