Design and Optimization Towards Sustainable Automatic Green Slicing System

This research study aims to develop a versatile and efficient solution for maintaining lawns and gardens. Utilizing IoT for remote control and automation, this machine combines Arduino Uno and NodeMCU for managing robotic movements, alongside an ultrasonic sensor for obstacle detection. In the proposed system, the machine can operate autonomously to detect and avoid obstacles and allows manual control via IoT when needed. This dual-mode operation enables users to supervise grass cutting effectively, offering a blend of convenience and safety.

Authors

Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/ictmim65579.2025.10988303
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.71
Controls
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article

Design and Optimization Towards Sustainable Automatic Green Slicing System

Praveen Santhosh Kumar G, M Sridhar, Gokul Raj S, K Vishnu
1 citations
Modular Robots and Swarm Intelligence
0.71
article

Design and Optimization Towards Sustainable Automatic Green Slicing System

Praveen Santhosh Kumar G, M Sridhar, Gokul Raj S, K Vishnu
article en
1 citations

Abstract

This research study aims to develop a versatile and efficient solution for maintaining lawns and gardens. Utilizing IoT for remote control and automation, this machine combines Arduino Uno and NodeMCU for managing robotic movements, alongside an ultrasonic sensor for obstacle detection. In the proposed system, the machine can operate autonomously to detect and avoid obstacles and allows manual control via IoT when needed. This dual-mode operation enables users to supervise grass cutting effectively, offering a blend of convenience and safety.

Life in Land, Responsible consumption and production
Openalex Percentile: Top 33%
Modular Robots and Swarm Intelligence
0.71
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Design and Optimization Towards Sustainable Automatic Green Slicing System — Praveen Santhosh Kumar G, M Sridhar, et al. · (2025) | TGRS Research Map | TGRS