Co-design of communication and machine inference for cloud robotics

Nakanoya, Manabu; Sharachchandra, Bhat,; Anemogiannis, Alexandros; Datta, Akul; Chinchali, Sandeep; Pavone, Marco

doi:10.1007/s10514-023-10093-w

Auton Robot

2023

DOI: 10.1007/s10514-023-10093-w

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Co-design of communication and machine inference for cloud robotics

Manabu Nakanoya

Bhat, Sharachchandra

Alexandros Anemogiannis

et al.

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2024

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Application of Cloud Robotics in Autonomous Vehicles

Raj,

Mahadevan,

Subathira

et al. 2024

Advances in Computational Intelligence and Robotics

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Cloud robotics has emerged as a transformative technology in the realm of autonomous vehicles, presenting a paradigm shift in the way these vehicles perceive, navigate, and make decisions. The chapter provides a comprehensive analysis of the key components, advantages, and challenges of integrating cloud robotics into autonomous vehicles. Cloud robotics leverages the power of real-time data processing, machine learning, and scalability. It enhances the safety, efficiency, and cost-effectiveness of autonomous vehicles. However, it also introduces challenges, such as latency, security, and connectivity, which demand innovative solutions. The chapter also discusses the application of advanced technologies in decision-making, model training, adaptability, and the learning process. It also addresses the regulatory and ethical considerations surrounding autonomous vehicles, examining government regulations and the broader societal implications of this technology.

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Application of Cloud Robotics in Autonomous Vehicles

Raj,

Mahadevan,

Subathira

et al. 2024

Advances in Computational Intelligence and Robotics

View full text Add to dashboard Cite

show abstract

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Co-design of communication and machine inference for cloud robotics

Cited by 1 publication

References 22 publications

Application of Cloud Robotics in Autonomous Vehicles

Application of Cloud Robotics in Autonomous Vehicles

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