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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Line Following And Obstacle Avoidance Robot

Authors: Tanvi Bachim; Pradnya Bantval; Kavya Amballa; Dr. Anita Morey;

Line Following And Obstacle Avoidance Robot

Abstract

Abstract—This paper presents the design, development, andperformance analysis of an autonomous mobile robot capable ofboth line following and obstacle avoidance. The robot integratesinfrared (IR) sensors for line tracking and ultrasonic sensorsfor real-time obstacle detection, enabling efficient navigationin dynamic environments. Hardware components include anArduino Uno microcontroller, motor drivers, and proximitysensors, all orchestrated through optimized control logic. Thesystem is tested in various real-world conditions, demonstratingreliable performance in line tracking and obstacle avoidancetasks, making it suitable for applications in industrial automation,healthcare logistics, and smart transportation systems 

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green