Autonomous Robotic Lawn Mowers in Residential Gardens: Efficiency, Performance, and User Experience

A Focused Case Study

DOI

10.2991/978-94-6239-750-7_27How to use a DOI?

Keywords

Lawn Mower; Autonomous robot; Design; Residential Gardens; Artificial Intelligence

Abstract

Robotic lawn mowers that operate on their own have become a cutting-edge way to maintain home gardens. They provide efficiency, convenience, and smart home ecosystem integration. In addition to advanced navigation innovations, sensors, and artificial intelligence, these machines can cut without much help from people. IoT connectivity, smart home device penetration, and advancements in battery and navigation systems are important factors (Global Growth Insights, 2025). Robotic lawnmowers are environmentally friendly and save time (Home Garden Report, 2025). High acquisition costs, terrain restrictions, battery limitations, setup complexity, and cyber security issues are still obstacles, but (Market Business Insights, 2025). In order to lay the groundwork for next studies and adoption tactics, this overview summarizes recent research, industry reports, and new developments. This case study consolidates information about autonomous robotic lawn mowers gathered from scholarly articles, industry reports, market analyses, and technical research. A thorough dataset for this study was formed by merging data from product launches by companies, testing of prototypes, and market predictions. The present review looks at important technologies like sensors navigation and path planning to show how robotic mowers can function dependably safely and effectively. Aspects of the user experience such as upkeep noise levels ease of setup usability and adaptability to various lawn types are also considered. Among the obvious advantages of autonomous mowers are labor savings better lawn care time savings and possible environmental benefits through eco-friendly mowing techniques and optimal energy use.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Dipyanshu Raj
AU  - Ajay Kumar Sah
AU  - Bijay Sonar
AU  - Soobik Kumar
AU  - Manoj Singh
AU  - Shivam Raturi
AU  - S. C. Ram
PY  - 2026
DA  - 2026/08/31
TI  - Autonomous Robotic Lawn Mowers in Residential Gardens: Efficiency, Performance, and User Experience
BT  - Proceedings of the International Conference on Advanced Design, Manufacturing, and Sustainable Energy Systems (ICADMSES 2026)
PB  - Atlantis Press
SP  - 374
EP  - 390
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-750-7_27
DO  - 10.2991/978-94-6239-750-7_27
ID  - Raj2026
ER  -