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Edge Computing and its Application in Robotics: A Survey
Nazish Tahir, Ramviyas Parasuraman
The Edge computing paradigm has gained prominence in both academic and industry circles in recent years. By implementing edge computing facilities and services in robotics, it beco…
Utility AI for Dynamic Task Offloading in the Multi-Edge Infrastructure
Nazish Tahir, Ramviyas Parasuraman
To circumvent persistent connectivity to the cloud infrastructure, the current emphasis on computing at network edge devices in the multi-robot domain is a promising enabler for de…
Consensus-based Resource Scheduling for Collaborative Multi-Robot Tasks
Nazish Tahir, Ramviyas Parasuraman
We propose integrating the edge-computing paradigm into the multi-robot collaborative scheduling to maximize resource utilization for complex collaborative tasks, which many robots…
Mobile Robot Control and Autonomy Through Collaborative Simulation Twin
Nazish Tahir, Ramviyas Parasuraman
When a mobile robot lacks high onboard computing or networking capabilities, it can rely on remote computing architecture for its control and autonomy. This paper introduces a nove…
Analog Twin Framework for Human and AI Supervisory Control and Teleoperation of Robots
Nazish Tahir, Ramviyas Parasuraman
Resource-constrained mobile robots that lack the capability to be completely autonomous can rely on a human or AI supervisor acting at a remote site (e.g., control station or cloud…