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Lillian Clark

4 accepted papers

2023

Correction to "A Queue-Stabilizing Framework for Networked Multi-Robot Exploration"

RA-L 2023

Section III-F in [1] made formal claims about the limiting behavior of the controller (as time and space grow to infinity) whose proof relied on a stochastic network optimization theorem which may not apply. Specifically, we cannot make the claim that the optimal value of $\overline{Y}$ achieved by

Cited by 0SourceScholar
2022

ACHORD: Communication-Aware Multi-Robot Coordination With Intermittent Connectivity

RA-L 2022

Communication is an important capability for multi-robot exploration because (1) inter-robot communication (comms) improves coverage efficiency and (2) robot-to-base comms improves situational awareness. Exploring comms-restricted (e.g., subterranean) environments requires a multi-robot system to to

Cited by 35SourceScholar
2022

PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration

RSS 2022poster

Multi-robot exploration of complex, unknown environments benefits from the collaboration and cooperation offered by inter-robot communication. Accurate radio signal strength prediction enables communication-aware exploration. Models which ignore the effect of the environment on signal propagation or…

Cited by 18SourcePDFScholar
2021

A Queue-Stabilizing Framework for Networked Multi-Robot Exploration

RA-L 2021

Motivated by planetary exploration, we consider the problem of deploying a network of mobile robots to explore an unknown environment and share information with a stationary data sink. The configuration of robots affects both network connectivity and the accuracy of relative localization. Robots exp

Cited by 20SourceScholar