A risk-averse optimization approach to human-robot collaboration in robotic fruit harvesting

Rysz, Maciej; Mehta, Siddhartha S.

doi:10.1016/j.compag.2021.106018

Cited by 13 publications

(12 citation statements)

References 61 publications

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“…A mathematical programming framework for optimizing human-robot collaboration was proposed in [20]. The framework considers the question of when interaction of the human operator with the robotic system is most economically beneficial.…”

Section: Human-robot Cooperation (Human-robot)mentioning

confidence: 99%

“…Table 1 summarizes the basic features of the reviewed studies. [20] Harvesting Citrus Simulations Risk-averse collaboration [21] Transportation N/A Field trial Activity recognition [22] Human detection N/A Field trial Stereo vision [23] Spraying Vineyard Field trial User confirmation of machine vision [24,25] Harvesting Strawberry Simulation User confirmation of machine vision [26] Harvesting N/A Lab experiments Layered task selection [27] Spraying Canola Simulation and field trial Skills transfer interface [28] Harvesting Tea Field trial Motion coordination [29] N/A N/A Correlational study Acceptance issues [30] N/A N/A Design principles Safety issues [31] N/A N/A Design principles Safety and ergonomics issues [32] Transportation Strawberry Field trial Safety issues…”

Section: Human-robot Cooperation (Human-robot)mentioning

confidence: 99%

“…First, the time required for a single vehicle to cover a large area can be long. Second, because of the increased task duration and the workload, the energy requirements can force the UAV to cover only a small area between frequent Driving N/A Field trial EMG interface [16] Driving N/A Field trial Teleoperation platform [17][18][19] Target recognition Melon Lab experiments User confirmation of machine vision [20] Harvesting Citrus Simulations Risk-averse collaboration [21] Transportation N/A Field trial Activity recognition [22] Human detection N/A Field trial Stereo vision [23] Spraying Vineyard Field trial User confirmation of machine vision [24,25] Harvesting Strawberry Simulation User confirmation of machine vision [26] Harvesting N/A Lab experiments Layered task selection [27] Spraying Canola Simulation and field trial Skills transfer interface [28] Harvesting Tea Field trial Motion coordination [29] N/A N/A Correlational study Acceptance issues [30] N/A N/A Design principles Safety issues [31] N/A N/A Design principles Safety and ergonomics issues [32] Transportation Strawberry Field trial Safety issues…”

Section: Uav Robot Teams (Multi-uav)mentioning

confidence: 99%

See 2 more Smart Citations

An Overview of Cooperative Robotics in Agriculture

et al. 2021

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Agricultural robotics has been a popular subject in recent years from an academic as well as a commercial point of view. This is because agricultural robotics addresses critical issues such as seasonal shortages in manual labor, e.g., during harvest, as well as the increasing concern regarding environmentally friendly practices. On one hand, several individual agricultural robots have already been developed for specific tasks (e.g., for monitoring, spraying, harvesting, transport, etc.) with varying degrees of effectiveness. On the other hand, the use of cooperative teams of agricultural robots in farming tasks is not as widespread; yet, it is an emerging trend. This paper presents a comprehensive overview of the work carried out so far in the area of cooperative agricultural robotics and identifies the state-of-the-art. This paper also outlines challenges to be addressed in fully automating agricultural production; the latter is promising for sustaining an increasingly vast human population, especially in cases of pandemics such as the recent COVID-19 pandemic.

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Section: Human-robot Cooperation (Human-robot)mentioning

confidence: 99%

Section: Human-robot Cooperation (Human-robot)mentioning

confidence: 99%

Section: Uav Robot Teams (Multi-uav)mentioning

confidence: 99%

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An Overview of Cooperative Robotics in Agriculture

et al. 2021

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“…Post-harvest loss ranging from 20 % to 50% was reported in various phases from the farm till it is get consumed [31,32]. Various harvesting technologies have been reported for harvesting the variety of the Chinese fruits [33]. Very few robotic fruit harvesting systems are commercialized from last few decades and widespread use of harvesting robots in orchards is yet to be seen [34].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and performance evaluation of a novel end-effector with integrated gripper cum cutter for harvesting greenhouse produce

Kolhalkar¹,

Krishnan²,

Pandit³

et al. 2021

IJATEE

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Precision Agriculture(PA) is now a day's buzzword used for the implementation of Mechatronics, Robotics, and Artificial Intelligence in various agricultural and allied tasks [1]. These robots are highly complex with different subsystems, which need to be integrated. This integration is possible using the Design Thinking approach. Mechatronics design of such a system mainly includes a synergetic amalgamation of different disciplines of engineering like Mechanical, Electronics, Computer, IT, and intelligent control systems.

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“…Concepts for the design and operation of a harvester of strawberries grown in rows or beds were developed in [20]. In [21], a systematic approach considers human-robot collaboration in robotic fruit harvesting. In [22], a method of robotic fertilization in row crops was proposed that uses an algorithm based on artificial vision and convolutional neural networks.…”

mentioning

confidence: 99%

Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

et al. 2022

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The continuous rise in the world’s population has increased the need for food, resulting in a rise of agricultural holdings to ensure the supply of these goods directly to the populations and indirectly to all processing industries in the food business. This situation has led agriculture to reinvent itself and introduce new technics and tools to ensure tighter control of the crops and increase yields in food production. However, the lack of labor coupled with the evolution of weeds resistant to herbicides created a crisis in agricultural food production. However, with the growing evolution in electronics, automation, and robotics, new paths are emerging to solve these problems. A robotic rover was designed to optimize the tasks of weed control and collection of fallen fruits of an orchard. In weed control, a localized spraying system is proposed, therefore reducing the amount of applied herbicides. With fruit collection, it is possible to direct fallen fruits for animal feeding and possible to reduce microbial activity on the next campaign crops, therefore avoiding damage. This study proposes the simulation of this robotic rover on robotic simulation software. It also proposes the replication of a similar environment of an orchard to generate an algorithm that controls the rover on the tasks of localized spraying and fallen fruit collection. Creating and testing these algorithms by using a robotic simulator speed up and ease the evaluation of different scenarios and hypotheses, with the added benefit of being able to test two tasks simultaneously. This method also allows greater freedom and creativity because there are no concerns about hardware damage. It should also be noted that development costs are very low.

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A risk-averse optimization approach to human-robot collaboration in robotic fruit harvesting

Cited by 13 publications

References 61 publications

An Overview of Cooperative Robotics in Agriculture

An Overview of Cooperative Robotics in Agriculture

Design and performance evaluation of a novel end-effector with integrated gripper cum cutter for harvesting greenhouse produce

Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

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