Field Deployment of Robotic Systems for Agriculture in Light of Key Safety, Labor, Ethics and Legislation Issues

Benos, Lefteris; Sørensen, Claus G.; Bochtis, Dionysis

doi:10.1007/s43154-022-00074-9

Cited by 16 publications

(14 citation statements)

References 48 publications

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“…More experimental tests should be carried out in different agricultural environments to identify possible motion problems of the UGV, which may lead to the application of cellular neural networks [77] to address them, similar to previous studies [78]. Lastly, future research could involve workers using their own pace in real conditions and investigation of not only the efficiency of the system, but also their opinion in order to provide a viable and socially accepted solution [6].…”

Section: Discussion and Main Conclusionmentioning

confidence: 89%

“…We tried to add human comfort, naturalness, and the sense of trust to the picture, which are considered very important in HRI and have received limited attention in agriculture so far. Comfort and trust can contribute, to a great extent, to the feeling of perceived safety, which is among the key issues that should be guaranteed in synergistic ecosystems [6,75,76]. In other words, users must perceive robots as safe to interact with.…”

Section: Discussion and Main Conclusionmentioning

confidence: 99%

“…In brief, a UGV can detect the worker requiring assistance and lock onto them ("fist" gesture). Once the person has been locked onto, they are the only authorized worker who can collaborate with the UGV by using one of the other four commands/gestures, thus minimizing potential safety concerns [6]. Subsequently, on the basis of the detected hand gesture, the UGV can (a) unlock the selected worker ("okay" gesture), (b) follow the authorized worker considering a safe distance ("victory" gesture), (c) stop the current action ("flat" gesture), or (d) return to a predetermined target location ("rock" gesture).…”

Section: Real-time Human-robot Interaction Based On Hand Gesture Reco...mentioning

confidence: 99%

“…To achieve the aforementioned goals, agri-robotic applications are taking advantage of the remarkable technological advancement of information and communications technology (ICT), including artificial intelligence, sensors, and computer vision [3,4]. Robotic solutions have found fertile ground in a number of agricultural applications, such as harvesting, spraying, disease detection, and weeding [5,6]. Usually, robots can carry out programmed actions driven by restricted, task-specific, and noninteractive commands [7].…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Real-Time Hand Gesture Recognition Framework for Human–Robot Interaction in Agriculture

et al. 2022

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Incorporating hand gesture recognition in human–robot interaction has the potential to provide a natural way of communication, thus contributing to a more fluid collaboration toward optimizing the efficiency of the application at hand and overcoming possible challenges. A very promising field of interest is agriculture, owing to its complex and dynamic environments. The aim of this study was twofold: (a) to develop a real-time skeleton-based recognition system for five hand gestures using a depth camera and machine learning, and (b) to enable a real-time human–robot interaction framework and test it in different scenarios. For this purpose, six machine learning classifiers were tested, while the Robot Operating System (ROS) software was utilized for “translating” the gestures into five commands to be executed by the robot. Furthermore, the developed system was successfully tested in outdoor experimental sessions that included either one or two persons. In the last case, the robot, based on the recognized gesture, could distinguish which of the two workers required help, follow the “locked” person, stop, return to a target location, or “unlock” them. For the sake of safety, the robot navigated with a preset socially accepted speed while keeping a safe distance in all interactions.

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Section: Discussion and Main Conclusionmentioning

confidence: 89%

Section: Discussion and Main Conclusionmentioning

confidence: 99%

Section: Real-time Human-robot Interaction Based On Hand Gesture Reco...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Integrated Real-Time Hand Gesture Recognition Framework for Human–Robot Interaction in Agriculture

et al. 2022

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“…How to strengthen ecological environmental protection during the utilization of pesticides in orchard is a key issue in national development plans ( Li et al, 2022 ). In addition, legislation and ethics have to go hand in hand when considering the design of legal solutions due to the value-laden nature of the concerns associated with robotic systems ( EU, 2016 ; Benos et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard

Jiang

Song

et al. 2022

Front. Plant Sci.

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The intelligent pesticide application techniques in orchards have grown rapidly worldwide due to the decrease in agricultural populations and the increase in labor costs. However, whether and how intelligent pesticide application techniques are better than conventional pesticide application remains unclear. Here, we evaluated the performance of the unmanned aircraft vehicle (UAV) and unmanned ground vehicle (UGV) on pesticide application, ecological environment protection, and human’s health protection compared to conventional manual methods. We quantified characteristics from the aspects of working effectiveness, efficiency, environmental pollution, water saving and carbon dioxide reduction. The results showed that the UAV application has the advantages of a higher working efficiency and less environmental pollution and natural resource consumption compared to the UGV and conventional manual methods despite of its worse spray performance The UGV application techniques could improve spray performance at the cost of high environmental pollution. The conventional spray gun technique was unfriendly to environmental and resource protection although it showed a better spray performance. Thus, the balance of improving spray performance and controlling environmental pollution is the key to improve the performance of UAV and UGV technology in the future. The study could be useful in the development of intelligent pesticide application techniques and provide scientific support for the transition of intelligent management in orchards.

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Developments in the era of unmanned aerial systems

Benos,

Kateris,

Tagarakis

et al. 2023

Unmanned Aerial Systems in Agriculture

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Field Deployment of Robotic Systems for Agriculture in Light of Key Safety, Labor, Ethics and Legislation Issues

Cited by 16 publications

References 48 publications

An Integrated Real-Time Hand Gesture Recognition Framework for Human–Robot Interaction in Agriculture

An Integrated Real-Time Hand Gesture Recognition Framework for Human–Robot Interaction in Agriculture

Comprehensive assessment of intelligent unmanned vehicle techniques in pesticide application: A case study in pear orchard

Developments in the era of unmanned aerial systems

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