Safety and ergonomics in human-robot interactive agricultural operations

An emerging scientific field is the study of safety and ergonomics in the agricultural sector during human-robot interaction. Human-robotic synergetic systems are considered to be the most mature way to circumvent problems appearing due to the complex and unpredictable nature of the agricultural environment, which contrasts with the stable domain found in industrial settings. In promising working ecosystems, the distinctive cognitive human characteristics of perception, decision making and acting can be combined with the strength and repeatable accuracy of robots. However, safety must be guaranteed both in terms of avoiding accidents during unwanted physical contacts and provoking musculoskeletal disorders. The latter is a concise term for describing numerous soft tissues disorders, which have reached epidemic proportions among farmers undermining their quality of life. This investigation, by describing the fundamentals of human-robot interaction from an agriculture-oriented perspective, methodically tries to identify potential hazards that can put human safety at risk. In order to overcome these hazards, approaches for minimising the occurrence of injuries analysed along with methods for safe collaboration. The innovation of this study lies on focusing on ergonomics during agricultural human-robot interactive operations. Thus, through reviewing the basic ergonomic principles and the main risk factors, potential challenges are captured concerning human factors, technologies and policy directions. Ensuring of safety in this kind of systems should have a positive impact in technological, societal and economic aspects. For this purpose, an intensive effort and interdisciplinary collaboration are required to establish a sustainable anthropocentric human-robot interactive ecosystem.

[1]  Eugenio Merino,et al.  Ergonomic evaluation of the musculoskeletal risks in a banana harvesting activity through qualitative and quantitative measures, with emphasis on motion capture (Xsens) and EMG , 2019, International Journal of Industrial Ergonomics.

[2]  N. Obuchowski,et al.  Magnetic Resonance Imaging of the lumbar spine in people without back pain , 2017, AL-QADISIYAH MEDICAL JOURNAL.

[3]  Abdelfetah Hentout,et al.  Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017 , 2019, Adv. Robotics.

[4]  Christoph Heindl,et al.  Action recognition for human robot interaction in industrial applications , 2015, 2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS).

[5]  Fadi A. Fathallah,et al.  The Effects of a Stooped Work Task on the Muscle Activity and Kinematics of the Lower Back , 2006 .

[6]  Fernando Auat Cheein,et al.  Human–robot interaction in agriculture: A survey and current challenges , 2019, Biosystems Engineering.

[7]  Fernando Alfredo Auat Cheeín,et al.  Social robot navigation based on HRI non-verbal communication: a case study on avocado harvesting , 2019, SAC.

[8]  Ioannis Gravalos,et al.  Vibration analysis on driver’s seat of agricultural tractors during tillage tests , 2016 .

[9]  Jessie Y. C. Chen,et al.  Human Performance Issues and User Interface Design for Teleoperated Robots , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Thanasis Hadzilacos,et al.  User interface considerations for telerobotics: the case of an agricultural robot sprayer , 2014, International Conference on Remote Sensing and Geoinformation of Environment.

[11]  Claus G. Sørensen,et al.  Mobile Robotics in Agricultural Operations: A Narrative Review on Planning Aspects , 2020, Applied Sciences.

[12]  Avinash C. Kak,et al.  A Novel Benchmark RGBD Dataset for Dormant Apple Trees and Its Application to Automatic Pruning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[13]  B. Cakmak,et al.  Interactions of personal and occupational risk factors on hand grip strength of winter pruners , 2018, International Journal of Industrial Ergonomics.

[14]  K. Stuempfle,et al.  Effect of load position on physiological and perceptual responses during load carriage with an internal frame backpack , 2004, Ergonomics.

[15]  Alexandre Escolà,et al.  Human-robot interaction in precision agriculture: Sharing the workspace with service units , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

[16]  Soh-Khim Ong,et al.  A novel augmented reality-based interface for robot path planning , 2014 .

[17]  F A Fathallah,et al.  Low back disorders in agriculture and the role of stooped work: scope, potential interventions, and research needs. , 2008, Journal of agricultural safety and health.

[18]  Lili Yang,et al.  A Cloud-Based In-Field Fleet Coordination System for Multiple Operations , 2020, Energies.

[19]  Avital Bechar,et al.  Agricultural robots for field operations: Concepts and components , 2016 .

[20]  Fadi A Fathallah,et al.  Musculoskeletal disorders in labor-intensive agriculture. , 2010, Applied ergonomics.

[21]  Angel P. del Pobil,et al.  A new representation for collision avoidance and detection , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[22]  Tatsuo Arai,et al.  Social interactive robot navigation based on human intention analysis from face orientation and human path prediction , 2015 .

[23]  Claus G. Sørensen,et al.  An Optimized Field Coverage Planning Approach for Navigation of Agricultural Robots in Fields Involving Obstacle Areas , 2013 .

[24]  Robert Bergevin,et al.  Semantic human activity recognition: A literature review , 2015, Pattern Recognit..

[25]  Giulio Reina,et al.  Ambient awareness for agricultural robotic vehicles , 2016, ArXiv.

[26]  KostavelisIoannis,et al.  Recent trends in social aware robot navigation , 2017 .

[27]  K L McGeoch,et al.  An Assessment of the Effects of Exposure to Vibration, Smoking, Alcohol and Diabetes on the Prevalence of Dupuytren’s Disease in 97,537 Miners , 2007, The Journal of hand surgery, European volume.

[28]  François Michaud,et al.  Coordination mechanism for integrated design of Human-Robot Interaction scenarios , 2017, Paladyn J. Behav. Robotics.

[29]  J. R. Llata,et al.  Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments , 2017, IEEE Access.

[30]  Patrick Millot,et al.  Towards adaptability of levels of automation with Human-machine cooperation approach , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[31]  Antonio Bicchi,et al.  Safety for Physical Human-Robot Interaction , 2008, Springer Handbook of Robotics.

[32]  S. Dasgupta,et al.  Pesticide Poisoning of Farm Workers: Implications of Blood Test Results from Vietnam , 2005, International journal of hygiene and environmental health.

[33]  Dionysis Bochtis,et al.  Coverage planning for capacitated field operations, part II: Optimisation , 2015 .

[34]  R. Greenlee,et al.  The epidemiology of agriculture-related osteoarthritis and its impact on occupational disability. , 2003, WMJ : official publication of the State Medical Society of Wisconsin.

[35]  George K. Karagiannidis,et al.  Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review , 2020, Internet Things.

[36]  S. I. Cho,et al.  AUTONOMOUS SPEED SPRAYER GUIDANCE USING MACHINE VISION AND FUZZY LOGIC , 1999 .

[37]  Giulio Rosati,et al.  Human-Robot Collaboration in Manufacturing Applications: A Review , 2019, Robotics.

[38]  Dionysis Bochtis,et al.  Robotics and labour in agriculture. A context consideration , 2019, Biosystems Engineering.

[39]  Robert X. Gao,et al.  Symbiotic human-robot collaborative assembly , 2019, CIRP Annals.

[40]  K. Zhou,et al.  Route planning for orchard operations , 2015, Comput. Electron. Agric..

[41]  Giulio Reina,et al.  Terrain assessment for precision agriculture using vehicle dynamic modelling , 2017, ArXiv.

[42]  Stephan Milosavljevic,et al.  Exploring head and neck vibration exposure from quad bike use in agriculture , 2018, International Journal of Industrial Ergonomics.

[43]  Gerald Seet,et al.  A Study on High-Level Autonomous Navigational Behaviors for Telepresence Applications , 2014, PRESENCE: Teleoperators and Virtual Environments.

[44]  Dionysis Bochtis,et al.  Conceptual model of fleet management in agriculture , 2010 .

[45]  Mark R. Cutkosky,et al.  A robust, low-cost and low-noise artificial skin for human-friendly robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[46]  Roman Meshcheryakov,et al.  Human-Robot Interaction Efficiency and Human-Robot Collaboration , 2020 .

[47]  Kogler Robert,et al.  Analysis of occupational accidents with agricultural machinery in the period 2008-2010 in Austria , 2015 .

[48]  Timo Oksanen,et al.  Soil sampling with drones and augmented reality in precision agriculture , 2018, Comput. Electron. Agric..

[49]  Stefano Paolucci,et al.  Wearable inertial sensors for human movement analysis , 2016, Expert review of medical devices.

[50]  Thanasis Hadzilacos,et al.  HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer. , 2017, Applied ergonomics.

[51]  Dionysis Bochtis,et al.  Benefits from optimal route planning based on B-patterns , 2013 .

[52]  Gwanseob Shin,et al.  An in vivo assessment of the low back response to prolonged flexion: Interplay between active and passive tissues. , 2007, Clinical biomechanics.

[53]  Kazuo Tanie,et al.  Collision-tolerant control of human-friendly robot with viscoelastic trunk , 1999 .

[54]  Vikram Kapila,et al.  Mobile Mixed-Reality Interfaces That Enhance Human–Robot Interaction in Shared Spaces , 2017, Front. Robot. AI.

[55]  L P Gite,et al.  Anthropometric survey for agricultural machinery design: an Indian case study. , 1989, Applied ergonomics.

[56]  Renato Vidoni,et al.  Emerging research fields in safety and ergonomics in industrial collaborative robotics: A systematic literature review , 2021, Robotics Comput. Integr. Manuf..

[57]  Rainer Müller,et al.  Skill-based Dynamic Task Allocation in Human-Robot-Cooperation with the Example of Welding Application , 2017 .

[58]  P L Pelmear,et al.  Review of occupational standards and guidelines for hand-arm (segmental) vibration syndrome (HAVS). , 2000, Applied occupational and environmental hygiene.

[59]  Luigi Villani,et al.  A Conformable Force/Tactile Skin for Physical Human–Robot Interaction , 2016, IEEE Robotics and Automation Letters.

[60]  Bram Vanderborght,et al.  Design of a collaborative architecture for human-robot assembly tasks , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[61]  Dionysis Bochtis,et al.  A Case-Based Economic Assessment of Robotics Employment in Precision Arable Farming , 2019, Agronomy.

[62]  J M Stevenson,et al.  The use of the Nordic questionnaire in an industrial setting: a case study. , 1994, Applied ergonomics.

[63]  Juan Pablo Vasconez,et al.  Toward Semantic Action Recognition for Avocado Harvesting Process based on Single Shot MultiBox Detector , 2018, 2018 IEEE International Conference on Automation/XXIII Congress of the Chilean Association of Automatic Control (ICA-ACCA).

[64]  Dionysis Bochtis,et al.  A Review on Ergonomics in Agriculture. Part I: Manual Operations , 2020, Applied Sciences.

[65]  Yoji Yamada,et al.  Human-robot contact in the safeguarding space , 1997 .

[66]  N. Belfiore,et al.  Analysis of driving seat vibrations in high forward speed tractors , 2007 .

[67]  Alin Albu-Schäffer,et al.  On a new generation of torque controlled light-weight robots , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[68]  Ibrahim A. Hameed,et al.  Optimized driving direction based on a three-dimensional field representation , 2013 .

[69]  Sonia Chernova,et al.  Mobile human-robot teaming with environmental tolerance , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[70]  Anne Collins McLaughlin,et al.  Aging farmers are at high risk for injuries and fatalities: how human-factors research and application can help. , 2011, North Carolina medical journal.

[71]  Thanasis Hadzilacos,et al.  Design and development of a semi‐autonomous agricultural vineyard sprayer: Human–robot interaction aspects , 2017, J. Field Robotics.

[72]  Dionysis Bochtis,et al.  Advances in agricultural machinery management: A review , 2014 .

[73]  Rachid Alami,et al.  Human-aware robot navigation: A survey , 2013, Robotics Auton. Syst..

[74]  Marko Hočevar,et al.  Selective spraying of grapevine’s diseases by a modular agricultural robot , 2013 .

[75]  Erwin Rauch,et al.  SME 4.0: The Role of Small- and Medium-Sized Enterprises in the Digital Transformation , 2020, Industry 4.0 for SMEs.

[76]  Sabina Jeschke,et al.  Subjective Stress in Hybrid Collaboration , 2017, ICSR.

[77]  Yael Edan,et al.  Human-robot collaboration for improved target recognition of agricultural robots , 2003, Ind. Robot.

[78]  Noboru Noguchi,et al.  Human detection for a robot tractor using omni-directional stereo vision , 2012 .

[79]  Klaus Bengler,et al.  Human Centered Assistance Applications for the working environment of the future , 2015 .

[80]  C. R. Mehta,et al.  Review of anthropometric considerations for tractor seat design , 2008 .

[81]  Claus G. Sørensen,et al.  The vehicle routing problem in field logistics: Part II , 2009 .

[82]  Roman Weitschat,et al.  End-effector airbags to accelerate human-robot collaboration , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[83]  Neil M. Robertson,et al.  A proposed gesture set for the control of industrial collaborative robots , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

[84]  Konstantinos Moustakas,et al.  A Review on Finite Element Modeling and Simulation of the Anterior Cruciate Ligament Reconstruction , 2020, Frontiers in Bioengineering and Biotechnology.

[85]  Jaime Gómez Gil,et al.  Steering a Tractor by Means of an EMG-Based Human-Machine Interface , 2011, Sensors.

[86]  David C. Slaughter,et al.  Autonomous robotic weed control systems: A review , 2008 .

[87]  Avital Bechar,et al.  Investigation of productivity enhancement and biomechanical risks in greenhouse crops , 2016 .

[88]  Avital Bechar,et al.  Simulation-Based Optimization Methodology for a Manual Material Handling Task Design That Maximizes Productivity While Considering Ergonomic Constraints , 2019, IEEE Transactions on Human-Machine Systems.

[89]  Roemi Fernández,et al.  Robotic Aubergine Harvesting Using Dual-Arm Manipulation , 2020, IEEE Access.

[90]  Espen Bratberg,et al.  Gender differences in disability after sickness absence with musculoskeletal disorders: five-year prospective study of 37,942 women and 26,307 men , 2011, BMC musculoskeletal disorders.

[91]  S. Bevan,et al.  Economic impact of musculoskeletal disorders (MSDs) on work in Europe. , 2015, Best practice & research. Clinical rheumatology.

[92]  David G. Wilder,et al.  POSSIBLE MECHANISMS OF LOW BACK PAIN DUE TO WHOLE-BODY VIBRATION , 1998 .

[93]  Dionysis Bochtis,et al.  A Review on Ergonomics in Agriculture. Part II: Mechanized Operations , 2020, Applied Sciences.

[94]  M Bovenzi,et al.  Health effects of mechanical vibration. , 2005, Giornale italiano di medicina del lavoro ed ergonomia.

[95]  Avital Bechar,et al.  Hand-held computers to increase accuracy and productivity in agricultural work study , 2014 .

[96]  Sebastian Thrun,et al.  A Gesture Based Interface for Human-Robot Interaction , 2000, Auton. Robots.

[97]  David McBride,et al.  Factors associated with quad bike loss of control events in agriculture , 2011 .

[98]  K. Holt,et al.  Modulation of force transmission to the head while carrying a backpack load at different walking speeds. , 2005, Journal of biomechanics.

[99]  Ricardo Carelli,et al.  Optimized EIF-SLAM algorithm for precision agriculture mapping based on stems detection , 2011 .

[100]  Avital Bechar,et al.  Agricultural robots for field operations. Part 2: Operations and systems , 2017 .

[101]  M B Schenker,et al.  Current health effects of agricultural work: respiratory disease, cancer, reproductive effects, musculoskeletal injuries, and pesticide-related illnesses. , 2002, Journal of agricultural safety and health.

[102]  Gary M. Bone,et al.  Real-time 3D Collision Avoidance Method for Safe Human and Robot Coexistence , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[103]  Yael Edan,et al.  Human‐robot collaborative site‐specific sprayer , 2017, J. Field Robotics.

[104]  Holly A. Yanco,et al.  Classifying human-robot interaction: an updated taxonomy , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[105]  James M. Conrad,et al.  Human-robot collaboration: A survey , 2015, SoutheastCon 2015.

[106]  Spyros Fountas,et al.  Robotics and Sustainability in Soil Engineering , 2010 .

[107]  Sabine Zikeli,et al.  Reduced Tillage and No-Till in Organic Farming Systems, Germany—Status Quo, Potentials and Challenges , 2017 .

[108]  Ji Zhang,et al.  Robot Farmers: Autonomous Orchard Vehicles Help Tree Fruit Production , 2015, IEEE Robotics & Automation Magazine.

[109]  Duc Truong Pham,et al.  Human-Robot Collaborative Manufacturing using Cooperative Game: Framework and Implementation , 2018 .

[110]  Alexander Verl,et al.  Cooperation of human and machines in assembly lines , 2009 .

[111]  Antonios Gasteratos,et al.  Recent trends in social aware robot navigation: A survey , 2017, Robotics Auton. Syst..

[112]  Yoji Yamada,et al.  A failure-to-safety "Kyozon" system with simple contact detection and stop capabilities for safe human-autonomous robot coexistence , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[113]  Erich-Christian Oerke,et al.  Safeguarding production-losses in major crops and the role of crop protection , 2004 .