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Relevant bibliographies by topics / Autonomous lawn mower

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Academic literature on the topic 'Autonomous lawn mower'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 June 2025

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Journal articles on the topic "Autonomous lawn mower"

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Grossi, Nicola, Marco Fontanelli, Elisa Garramone, et al. "Autonomous Mower Saves Energy and Improves Quality of Tall Fescue Lawn." HortTechnology 26, no. 6 (2016): 825–30. http://dx.doi.org/10.21273/horttech03483-16.

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Battery-powered autonomous mowers are designed to reduce the need of labor for lawn mowing compared with traditional endothermic engine mowers and at the same time to abate local emissions and noise. The aim of this research was to compare autonomous mower with traditional rotary mower on a tall fescue (Festuca arundinacea) lawn under different nitrogen (N) rates. A two-way factor experimental design with three replications was adopted. In the study, four N rates (0, 50, 100, and 150 kg·ha−1) and two mowing systems (autonomous mower vs. gasoline-powered walk-behind rotary mower equipped for mulching) were used. As expected, N fertilization increased turf quality. At the end of the trial, the autonomous mower increased turf density (3.2 shoots/cm2) compared with the rotary mower (2.1 shoots/cm2) and decreased average leaf width (2.1 mm) compared with the rotary mower (2.7 mm). Increased density and decreased leaf width with autonomous mowing yielded higher quality turf (7.3) compared with the rotary mower (6.4) and a lower weed incidence (6% and 9% cover for autonomous mower and rotary mower, respectively). Disease incidence and mowing quality were unaffected by the mowing system. The autonomous mower working time was set to 10 hours per day (≈7.8 hours for mowing and 2.2 hours for recharging) for a surface of 1296 m2. The traditional rotary mower working time for the same surface was 1.02 hours per week. The estimated primary energy consumption for autonomous mower was about 4.80 kWh/week compared with 12.60 kWh/week for gasoline-powered rotary mowing. Based on turf quality aspects and energy consumption, the use of autonomous mowers could be a promising alternative to traditional mowers.

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Song, Mingzhang, Md Shaha Nur Kabir, Sun-Ok Chung, Yong-Joo Kim, Jong-Kyou Ha, and Kyeong-Hwan Lee. "Path planning for autonomous lawn mower tractor." Korean Journal of Agricultural Science 42, no. 1 (2015): 63–71. http://dx.doi.org/10.7744/cnujas.2015.42.1.063.

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TAKAMI, Ryutaro, and Tomoki TAJIRI. "Development of autonomous Lawn mower using GPS." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 1A1—C02. http://dx.doi.org/10.1299/jsmermd.2018.1a1-c02.

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Fukukawa, Tomoya, Kosuke Sekiyama, Yasuhisa Hasegawa, and Toshio Fukuda. "Vision-Based Mowing Boundary Detection Algorithm for an Autonomous Lawn Mower." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 1 (2016): 49–56. http://dx.doi.org/10.20965/jaciii.2016.p0049.

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This study proposes a vision-based mowing boundary detection algorithm for an autonomous lawn mower. An autonomous lawn mower requires high moving accuracy for efficient mowing. This problem is solved by using a vision system to detect the boundary of two regions, i.e., before and after the lawn mowing process. The mowing boundary cannot be detected directly because it is ambiguous. Therefore, we utilize a texture classification method with a bank of filters for classifying the input image of the lawn field into two regions as mentioned above. The classification is performed by threshold processing based on a chi-squared statistic. Then, the boundary line is detected from the classified regions by using Random sample consensus (RANSAC). Finally, we apply the proposed method to 12 images of the lawn field and verified that the proposed method can detect a mowing boundary line with centimeter accuracy in a dense lawn field.

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Pirchio, Michel, Marco Fontanelli, Christian Frasconi, et al. "Autonomous Mower vs. Rotary Mower: Effects on Turf Quality and Weed Control in Tall Fescue Lawn." Agronomy 8, no. 2 (2018): 15. http://dx.doi.org/10.3390/agronomy8020015.

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Wijewickrama, D. R. Dasun, K. M. Harsha Karunanayaka, H. W. Poorna Senadheera, and T. M. Godamulla. "Fabrication of an Autonomous Lawn Mower Prototype with Path Planning and Obstacle Avoiding Capabilities." CINEC Academic Journal 2 (December 30, 2017): 30. http://dx.doi.org/10.4038/caj.v2i0.51.

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Melita, Carmelo Donato, Giovanni Muscato, and Michèle Poncelet. "A Simulation Environment for an Augmented Global Navigation Satellite System Assisted Autonomous Robotic Lawn-Mower." Journal of Intelligent & Robotic Systems 71, no. 2 (2012): 127–42. http://dx.doi.org/10.1007/s10846-012-9770-x.

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Rios-Gutierrez, Fernando, and Rocio Alba-Flores. "Robotics Focused Capstone Senior Design Course." American Journal of Engineering Education (AJEE) 8, no. 1 (2017): 23–34. http://dx.doi.org/10.19030/ajee.v8i1.9962.

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This work describes the educational experiences gained teaching the Senior Design I & II courses, a senior level, two-semester sequence in the Electrical Engineering (EE) program at Georgia Southern University (GSU). In particular, the authors present their experiences in using robotics as the main area to develop the capstone senior design, with focus in interdisciplinary interactions and teamwork for the design and implementation of autonomous mobile robots. Other main purpose of the capstone design course sequence is for the students to experience working in an engineering application project researching and analyzing the sustainability, ethical and social impact issues related to their projects. The students work for two semesters as a team to design, test and build a mobile robot project for a particular application. Some of these projects have been fabricated to participate in different robotic competitions, including the IEEE sponsored hardware competition, the lawn mower competition, and the robot waiter competition.

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Hubbard, Sarah, Adam Baxmeyer, and Bryan Hubbard. "Case Study of an Automated Mower to Support Airport Sustainability." Sustainability 13, no. 16 (2021): 8867. http://dx.doi.org/10.3390/su13168867.

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This paper documents a case study of an automated mower to support sustainability at an airport. Mowing is an essential component of an airport’s Wildlife Hazard Management Plan (WHMP), which reduces the risk of birds and other wildlife to aircraft operations. Many airports have large areas of land (hundreds or even thousands of acres), which requires significant resources to manage and mow; experience at the Purdue Airport (KLAF) suggests that automated mowing may support economic and environmental aspects of sustainability. Automated mowing supports economic efficiency by reducing personnel requirements, although personnel are still needed for inspections, maintenance, and “mower rescue” if there is a malfunction (technical or field issue). Automated mowing supports environmental impacts by reducing local emissions since the mower is powered by electricity rather than gasoline; this benefit would be increased with the use of solar-powered mowers. Automated mowing may not be viable everywhere, and factors such as terrain, access to available power, acreage, and location on the airfield (including proximity to protected areas) must be carefully considered. Although automated mowing will not completely replace traditional mowing in the near future, autonomous mowers in remote areas may be an appropriate practice to support airport sustainability.

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Saidani, Michael, Mariia Kravchenko, François Cluzel, Daniela Pigosso, Yann Leroy, and Harrison Kim. "COMPARING LIFE CYCLE IMPACT ASSESSMENT, CIRCULARITY AND SUSTAINABILITY INDICATORS FOR SUSTAINABLE DESIGN: RESULTS FROM A HANDS-ON PROJECT WITH 87 ENGINEERING STUDENTS." Proceedings of the Design Society 1 (July 27, 2021): 681–90. http://dx.doi.org/10.1017/pds.2021.68.

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AbstractConsidering a growing number of metrics and indicators to assess circular economy, it is of paramount importance to shed light on how they differ from traditional approaches, such as life cycle assessment (LCA) or sustainability performance indicators. This study provides new empirical insights on the correlation between LCA, circularity, and sustainability indicator-based approaches. Specifically, the importance lies in analyzing how the results generated by these different approaches can be used to support the design of products that are not only circular, but also sustainable. A practice-based project involving 87 engineering students (divided into 20 groups) is conducted with the aim to compare and improve the circularity and sustainability performance of three product alternatives of lawn mowers (gasoline, electric, autonomous). To do so, the following resources are deployed: 18 midpoints environmental indicators calculated by LCA, eight product circularity indicators, and numerous leading sustainability indicators. Critical analyses on the usability, time efficiency, scientific soundness, and robustness of each approach are drawn, combining quantitative results generated by each group with the feedback of future engineers.

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Dissertations / Theses on the topic "Autonomous lawn mower"

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Dysenius, Hannah. "Non-Linear Automatic Control of Autonomous Lawn Mower." Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129116.

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This master thesis contains modeling and nonlinear automatic control of an autonomous lawn mower. The vehicle shall be able to follow a magnetic field loop buried in the lawn on an arbitrary distance, including straddling. A unicycle model of the lawn mower has been derived based on previous work. The model holds for the assumption of non slip environment. Two diff erent control strategies have been implemented and evaluated in this thesis. One is based on feedback linearization and with the feedback gain estimated using an LQ-controller. The other strategy is based on linearization at an equilibrium point and also with the use of an LQ-controller. The only state that can be measured is the distance to the magnetic loop. In order to estimate the other states, an observer has been implemented using the linearized in an equilibrium point model and a Kalman filter. The navigation of the autonomous lawn mower is performed using a magnetic loop buried in the lawn. The non-linearity of the magnetic field causes diffi culties when estimating the distance to the loop. One magnetic field strength corresponds to two distances to the magnetic loop. The nature of the magnetic field and the measurement noise causes the precision of the controller to be limited. The conclusion of this master thesis is that it is possible to navigate and follow the magnetic loop at a distance greater than 0.3 [m], but with overshoots during sharp turns. If the reference distance is smaller than that, the behavior of the robot will be oscillating when following the loop. The limitations of the controller performance is due to the lack of information which can be extracted from the measurements of the magnetic field.

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Hughes, Bradley Evan. "A Navigation Subsystem for an Autonomous Robot Lawn Mower." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1312391797.

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Baichbal, Shashidhar. "MAPPING ALGORITHM FOR AUTONOMOUS NAVIGATION OF LAWN MOWER USING SICK LASER." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1334587886.

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Beno, Jonathan A. "CWRU Cutter: Design and Control of an Autonomous Lawn Mowing Robot." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1270492619.

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Thesis (Master of Engineering)--Case Western Reserve University, 2010<br>Department of EMC - Mechanical Engineering Title from PDF (viewed on 2010-05-25) Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center

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Selling, Jimmy. "Beröringsfria avståndssensorer för en autonomgräsklippare." Thesis, KTH, Mekatronik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-41510.

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SammanfattningExamensarbetet har syftat till att undersöka möjligheten att utrusta Husqvarnas autonomagräsklippare med avståndssensorer. Dessa ska hindra gräsklipparen från att kollidera med hinder i sinomgivning. Gräsklipparen arbetar i en miljö där väder, temperatur, ljusförhållanden och underlagvarierar kraftigt. Detta innebär att kravet på sensorerna är högt.Av de sensorer som undersökts har det visat sig att ultraljud och ”structured light” är de system sombäst skulle kunna uppfylla all dessa krav till ett rimligt pris.I examensarbetet undersöks därför ultraljudssensorer från företaget Maxbotix närmare ochimplementeras i en prototyp. Fyra stycken sensorer placeras på gräsklipparens kaross. Dessakommunicera med en mikrokontroller som i sin tur förmedlar mätdata till en dator. På datorn körsen sökalgoritm som tolkar och sammanfogar sensorernas mätdata.Efter ett antal tester visar det sig att de sensorer som valts inte uppfyller de krav som ställts. Dockbör den metod och algoritm som används kunna uppfylla kraven om en annan typ av sensor används.<br>AbstractThis master thesis is aiming to investigate the possibility of adding distance sensors to Husqvarna’sautonomic lawnmower. The goal is to prevent the lawnmower from colliding with obstacles in itssurroundings. The environment where the lawnmower is working is very dynamic in sense ofweather, temperature, ambient lightning and terrain. This gives high requirements on the sensors.Of all the sensors that were examined, ultrasonic and structured lightning came out as the ones bestfit to fill these requirements to a reasonable cost.In this thesis ultrasonic sensors from Maxbotix were implemented on a prototype. Four sensors wereplaced on the lawnmower body and connected to a microcontroller. The microcontroller then passesalong the sensor data to a computer that is running a search algorithm. The algorithm is used tointerpret the data and merge the different measurements.After certain amount of testing it was shown that the chosen sensor did not meet all therequirements. However the method and the chosen algorithm should suffice with another type ofsensor.

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Sparr, Henrik. "Object detection for a robotic lawn mower with neural network trained on automatically collected data." Thesis, Uppsala universitet, Datorteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444627.

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Machine vision is hot research topic with findings being published at a high pace and more and more companies currently developing automated vehicles. Robotic lawn mowers are also increasing in popularity but most mowers still use relatively simple methods for cutting the lawn. No previous work has been published on machine learning networks that improved between cutting sessions by automatically collecting data and then used it for training. A data acquisition pipeline and neural network architecture that could help the mower in avoiding collision was therefor developed. Nine neural networks were tested of which a convolutional one reached the highest accuracy. The performance of the data acquisition routine and the networks show that it is possible to design a object detection model that improves between runs.

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Alhaj, Kasem Mustafa, and Daniel Andersson. "Locating faults in boundary wires for autonomous lawn mowers : An investigative study on methods used to locate faults in underground, low-voltage cables with focus on implementing Time Domain Reflectometer (TDR)." Thesis, Jönköping University, JTH, Avdelningen för datateknik och informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54150.

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Purpose:The purpose of this thesis was to identify a useful solution to find the location of a broken boundary wire. By useful we mean that the solution should be inexpensive, user friendly and accurate. However, this thesis will only investigate the accuracy of the method where the hypothesis is that an investigated method is applicable for all underground wires. Method:This study conducted a literature research in order to investigate what methods that are used in other industries to locate faults in underground, low-voltage electrical wires. After the research, the most commonly used fault locating methods were described and the one that seemed most useful was chosen as a possible solution.For the solution to be useful the accuracy was investigated. The method used to conduct an experiment and gather data to validate the solution was Design Science Research. Result:Three methods were investigated as possible solutions:Time Domain Reflectometry (TDR), Frequency Domain Reflectometry (FDR) and Murray bridge where experiments were conducted using TDR.TDR proved to be unapplicable in locating faults in boundary wires, although it was confirmed to be a valid solution to locate faults in coaxial cables with <1% error margin.What makes TDR and other reflectometry methods unsuitable methods within the autonomous lawn mower industry is the lack of characteristic impedance in the used boundary wires. The hypothesis that an investigated method is applicable for all underground wires is thereby refuted. Limitations:Experiments were conducted in laboratory environment with a signal generator and an oscilloscope. One experiment was conducted on a boundary wire in the ground which provided no reflected signal.

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Mehdijev, Shamil, and Robert Lundberg. "Path planning and coordination of multiple autonomous lawn mowers." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200531.

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Ping-HsienChiang and 江炳賢. "Autonomous Lawn-mower Robot." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/98937469321244918945.

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碩士<br>國立成功大學<br>工程科學系碩博士班<br>101<br>The goal of this thesis is to develop an autonomous lawn-mower robot. The core device of the robot is a Microchip PIC 4520 chip for controlling the robot moving, blade motor, collision sensors, and ultrasonic sensors’ signal processing. Mowing robot is used to save a lot of manpower and time consuming for mowing a lawn. The driving capability of robot walking on the grass is considered. The usage of ultrasonic sensors’ positioning communication for avoiding various obstacles in the lawn and achieving maximum coverage of mowing is also included in the design of the mowing robot. Furthermore, the spiral boustrophedon used as the global coverage path planning is also implanted in the design of the mowing robot.

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Hsu, Ping-Min, and 徐秉民. "Design of an Autonomous Lawn Mower with Optimal Route Planning." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/64464796589990958912.

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碩士<br>國立中興大學<br>電機工程學系所<br>96<br>An optimal path planning scheme for autonomous lawnmowers to achieve minimum working time, minimum energy conservation and mixed operation mode, as well as high efficiency is developed in this thesis. For route planning, rough path planning and a geography method are adopted. A rough path planning is first considered with obstacles ignored. Then, a geography method is applied to enable the details of a real optimal path in accessing the easiest and safest condition. After taking the chosen mode, a distinct path planed on the basis of the obstacles coordinates are obtained. Additionally, a global positioning system (GPS) which provides real-time positioning of the lawnmower is equipped with the path planning system. In addition to the path planning using single mower, an algorithm for multi-task operation as well as the partitioning method for working area is also developed. For this algorithm, we define an index of mowing easiness, with which the accomplishing level in mowing for any prairies can be derived. Based on the figure of mowing easiness, an objective function is proposed for optimization. With the optimization of this objective function, the control law for the optimal multi-task of mowing is developed. The optimal path planning has been tested under a variety of simulations and proven to be effective in enhancing the working efficiency.

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Book chapters on the topic "Autonomous lawn mower"

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Einecke, Nils, Jörg Deigmöller, Keiji Muro, and Mathias Franzius. "Boundary Wire Mapping on Autonomous Lawn Mowers." In Field and Service Robotics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67361-5_23.

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Shiraishi, Yoichi, Haohao Zhang, and Kazuhiro Motegi. "AI-Based Approach for Lawn Length Estimation in Robotic Lawn Mowers." In Robotics Software Design and Engineering. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97530.

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This chapter describes a part of autonomous driving of work vehicles. This type of autonomous driving consists of work sensing and mobility control. Particularly, this chapter focuses on autonomous work sensing and mobility control of a commercial electric robotic lawn mower, and proposes an AI-based approach for work vehicles such as a robotic lawn mower. These two functions, work sensing and mobililty control, have a close correlation. In terms of efficiency, the traveling speed of a lawn mower, for example, should be reduced when the workload is high, and vice versa. At the same time, it is important to conserve the battery that is used for both work execution and mobility. Based on these requirements, this chapter is focused on developing an estimation system for estimating lawn grass lengths or ground conditions in a robotic lawn mower. To this end, two AI algorithms, namely, random forest (RF) and shallow neural network (SNN), are developed and evaluated on observation data obtained by a fusion of ten types of sensor data. The RF algorithm evaluated on data from the fusion of sensors achieved 92.3% correct estimation ratio in several experiments on real-world lawn grass areas, while the SNN achieved 95.0%. Furthermore, the accuracy of the SNN is 94.0% in experiments where sensor data are continuously obtained while the robotic lawn mower is operating. Presently, the proposed estimation system is being developed by integrating two motor control systems into a robotic lawn mower, one for lawn grass cutting and the other for the robot’s mobility.

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Conference papers on the topic "Autonomous lawn mower"

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Wasif, Muhammad. "Design and implementation of autonomous Lawn-Mower Robot controller." In 2011 7th International Conference on Emerging Technologies (ICET). IEEE, 2011. http://dx.doi.org/10.1109/icet.2011.6048466.

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Arunkumar, P. M., N. Muthu, V. G. Prathuman, A. M. Sadham Ukkashi, and P. V. Vyshnav Achuthan. "Simultaneous Localization and Mapping Technique Based Autonomous Lawn Mower." In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9441727.

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Bing-Min Shiu and Chun-Liang Lin. "Design of an autonomous lawn mower with optimal route planning." In 2008 IEEE International Conference on Industrial Technology - (ICIT). IEEE, 2008. http://dx.doi.org/10.1109/icit.2008.4608497.

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"Integration of Laser Scanner and Odometry for Autonomous Robotics Lawn-mower." In 2015 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/aim.20152190609.

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Hameed, Ibrahim A. "Coverage path planning software for autonomous robotic lawn mower using Dubins' curve." In 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2017. http://dx.doi.org/10.1109/rcar.2017.8311915.

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Liu, Hengtao, Zhugang Yuan, and Zhe Su. "Design and realization of visual wireless autonomous lawn mower based on machine vision." In 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). IEEE, 2014. http://dx.doi.org/10.1109/iccwamtip.2014.7073425.

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Franzius, Mathias, Mark Dunn, Nils Einecke, and Roman Dirnberger. "Embedded Robust Visual Obstacle Detection on Autonomous Lawn Mowers." In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017. http://dx.doi.org/10.1109/cvprw.2017.50.

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Narvesen, Andrew, and Majura Selekwa. "Reduction of GPS Noise for Precision Control of Robot Navigation in Confined Areas." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38548.

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Most modern navigation systems solve the localization problem by extensively using global positioning system (GPS) data. Unfortunately the GPS data quality depends on several factors, which can lead to large positioning errors. Known GPS errors fall in two groups: either atmospheric errors, or multipath errors. Because of these errors, differential GPS systems have been developed using both ground based and satellite based reference systems. The cost of a differential GPS unit such as a Novatel range from a little over $2000 to over $9000, which can be prohibitive for use on certain home service robotic vehicles such as autonomous snow plows or autonomous lawn mowers. This paper discusses ways of mitigating GPS errors on low cost single frequency GPS units such as Copernicus II, Skytraq and U-Blox, which cost far less than $100 each, and hence are attractive for use in many robotic applications such as those mentioned above. The paper will present a model of GPS noise and use that model to process GPS data for use in navigation of an autonomous snow plow designed for use in residential driveways and side-walks; it will be supported by experimental results only.

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