Edge Robotics Experimentation over Next Generation IIoT Testbeds

Article Computer Science, Information Systems

Resource-Aware Estimation and Control for Edge Robotics: A Set-Based Approach

Dimitrios Spatharakis et al.

Summary: The evolution of IIoT and edge computing allows resource-constrained mobile robots to offload computationally intensive localization algorithms. This poses a challenge in joint co-design of communication, control, estimation, and computing infrastructure when utilizing remote resources. A set-based estimation offloading framework is introduced for unicycle robot navigation, accounting for modeling and measurement uncertainties. A switching set-based control mechanism and utility-based offloading mechanism are designed to ensure accurate navigation and optimize resource utilization.

IEEE INTERNET OF THINGS JOURNAL (2023)

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Article Computer Science, Artificial Intelligence

Network offloading policies for cloud robotics: a learning-based approach

Sandeep Chinchali et al.

Summary: This paper addresses the issue of cloud offloading in robotics, proposing a solution using deep reinforcement learning to enhance robot vision task performance while minimizing the cost of cloud communication. The strategy improves vision task performance by 1.3 to 2.3 times compared to benchmark offloading strategies, enabling robots to significantly improve on-board sensing accuracy with limited cloud communication cost.

AUTONOMOUS ROBOTS (2021)

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Proceedings Paper Telecommunications

Enabling Industrial Network Slicing Orchestration: A Collaborative Edge Robotics Use Case

Ioannis Dimolitsas et al.

Summary: The consolidation of 5G technologies enables the feasibility of Industry 4.0 establishment, while Network Slicing facilitates collaboration between industrial applications and improves communication efficiency and resource management. Experimental results demonstrate significant improvements in mission completion delay and transmission time with the proposed CSC approach compared to other methods.

2021 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING (IEEE MEDITCOM 2021) (2021)

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Article Computer Science, Information Systems

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Mahbuba Afrin et al.

Summary: This paper comprehensively surveys the state-of-the-art on resource allocation and service provisioning in multi-agent cloud robotics, presenting the application domains and specific research challenges. It introduces a complete taxonomy on resource allocation and discusses resource pooling, computation offloading, and task scheduling for efficient service provisioning. The paper also highlights research gaps and future directions to further advance this emerging field.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)

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Article Computer Science, Information Systems