Transitioning towards human–robot synergy in agriculture: A systems thinking perspective

Aivazidou, Eirini; Tsolakis, Naoum

doi:10.1002/sres.2887

Cited by 8 publications

(6 citation statements)

References 87 publications

(202 reference statements)

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“…Benos et al [ 21 ] examined both ergonomics and safety during HRI operations from an agriculture-oriented perspective, while guidelines for addressing problems in shared environments were described in [ 61 ]. Finally, the socio-economic factors driving the shift from pure automation to HRI were analyzed through the prism of a systems thinking approach by Aivazidou and Tsolakis [ 79 ].…”

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%

Human–Robot Interaction in Agriculture: A Systematic Review

Benos

Moysiadis

Kateris

et al. 2023

Sensors

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“… [27] modelled crop rotation plans in homogeneous management zones to minimise the total cultivation and expected shortage demand costs. However, computational logistics and planning of mobile robots in agriculture is a relatively nascent field [15] , possibly owing to farmers’ low adoption rate of automation [28] due to socioeconomic and technical barriers [29] .…”

Section: Research Backgroundmentioning

confidence: 99%

Leveraging Automation and Data-driven Logistics for Sustainable Farming of High-value Crops in Emerging Economies

Tsolakis

Harrington

Srai

2023

Smart Agricultural Technology

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“…Over the last few decades, these breakthroughs have fueled the emergence of an automated society, with robotics taking center stage [1,2]. The adoption and application of robotics and automation systems have skyrocketed, permeating every facet of life, from manufacturing and logistics [3] to agriculture [4,5] and healthcare [6]. In essence, these technological innovations have redefined the concept of work, replacing traditional, manual, and often laborious tasks with automated, efficient, and precise robotic operations.…”

Section: Introductionmentioning

confidence: 99%

UGV Coverage Path Planning: An Energy-Efficient Approach through Turn Reduction

Baras

Dasygenis

2023

Electronics

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With the advent and rapid growth of automation, unmanned ground vehicles (UGVs) have emerged as a crucial technology, with applications spanning various domains, from agriculture to surveillance, logistics, and military operations. Alongside this surge in the utilization of robotics, novel complications inevitably emerge, posing intriguing questions and challenges to the academic and technological sectors. One such pressing challenge is the coverage path planning (CPP) problem, particularly the notion of optimizing UGV energy utilization during path planning, a significant yet relatively unexplored aspect within the research landscape. While numerous studies have proposed solutions to CPP with a single UGV, the introduction of multiple UGVs within a single environment reveals a unique set of challenges. A paramount concern in multi-UGV CPP is the effective allocation and division of the area among the UGVs. To address this issue, we propose an innovative approach that first segments the area into multiple subareas, which are then allocated to individual UGVs. Our methodology employs fine-tuned spanning trees to minimize the number of turns during navigation, resulting in more efficient and energy-aware coverage paths. As opposed to existing research focusing on models that allocate without optimization, our model utilizes a terrain-aware cost function, and an adaptive path replanning module, leading to a more flexible, effective, and energy-efficient path-planning solution. A series of simulations demonstrated the robustness and efficacy of our approach, highlighting its potential to significantly improve UGV endurance and mission effectiveness, even in challenging terrain conditions. The proposed solution provides a substantial contribution to the field of UGV path planning, addressing a crucial gap and enhancing the body of knowledge surrounding energy-efficient CPP for multi-UGV scenarios.

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Transitioning towards human–robot synergy in agriculture: A systems thinking perspective

Cited by 8 publications

References 87 publications

Human–Robot Interaction in Agriculture: A Systematic Review

Human–Robot Interaction in Agriculture: A Systematic Review

Leveraging Automation and Data-driven Logistics for Sustainable Farming of High-value Crops in Emerging Economies

UGV Coverage Path Planning: An Energy-Efficient Approach through Turn Reduction

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