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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Programming for Robots: Methods, Challenges, and Innovations

Authors: S.J. Mulani;

Programming for Robots: Methods, Challenges, and Innovations

Abstract

Programming techniques for robots, encompassing traditional methods, emerging challenges, and innovative solutions. Programming robots involves the development of control algorithms, motion planning strategies, and task-specific behaviors to enable autonomous operation in diverse environments. The abstract outlines key programming paradigms, such as procedural, declarative, and behavior-based programming, and discusses their applications in robotics. Moreover, it highlights challenges such as sensor uncertainty, real-time constraints, and human-robot interaction, and explores recent advancements in programming frameworks, simulation tools, and machine learning approaches. Key insights from the literature are synthesized to provide a comprehensive understanding of programming for robots and identify future research directions.

Keywords

Programming, robots, control algorithms, motion planning, autonomous operation, challenges, innovations, machine learning

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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