Safety of Automated Agricultural Machineries: A Systematic Literature Review

Automated agricultural machinery has advanced significantly in the previous ten years; however, ability of such robots to operate safely will be critical their commercialization. This study provides a holistic evaluation work carried out so far field automated machines’ safety, as well framework for future research considerations. Previous safety-related studies are analyzed and grouped into three categories: (1) environmental perception, (2) risk assessment mitigation, (3) human factors ergonomics. The key findings follows: usage single multiple perception sensors, developing datasets environments, different algorithms, external solutions improve sensor performance were all explored options safety. Current methods cannot efficient when dealing with new technology, machines, due lack pre-existing knowledge. Full compliance guidelines provided by current International Organization Standardization (ISO 18497) ensure A regulatory being able test functionalities machines within reliable software environment ways mitigate risks. Knowing foreseeable activity is safe human–robot interaction.