Risk-averse Optimization for Improving Harvesting Efficiency of Autonomous Systems through Human Collaboration

Rysz, Maciej; Ganesh, P. Narayan; Burks, T.F.; Mehta, Siddhartha S.

doi:10.1016/j.ifacol.2019.12.523

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…Focusing on HRI for harvesting applications, Rysz et al [ 69 , 76 ] developed a risk-averse optimization solution and validated it by using a simulated grove setting, including information for different citrus varieties. A vehicle was successfully implemented in [ 74 ] for following the worker during tea plucking, as proved by the experimental field results.…”

Section: Resultsmentioning

confidence: 99%

Human–Robot Interaction in Agriculture: A Systematic Review

Benos

Moysiadis

Kateris

et al. 2023

Sensors

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In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices, human–robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing advancement in information and communication technologies, this approach aspires to overcome the challenges originating from the inherent complex agricultural environments. Τhis paper systematically reviews the scholarly literature to capture the current progress and trends in this promising field as well as identify future research directions. It can be inferred that there is a growing interest in this field, which relies on combining perspectives from several disciplines to obtain a holistic understanding. The subject of the selected papers is mainly synergistic target detection, while simulation was the main methodology. Furthermore, melons, grapes, and strawberries were the crops with the highest interest for HRI applications. Finally, collaboration and cooperation were the most preferred interaction modes, with various levels of automation being examined. On all occasions, the synergy of humans and robots demonstrated the best results in terms of system performance, physical workload of workers, and time needed to execute the performed tasks. However, despite the associated progress, there is still a long way to go towards establishing viable, functional, and safe human–robot interactive systems.

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Section: Resultsmentioning

confidence: 99%