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Eric W. Frew

7 accepted papers

2021

3D Reactive Control and Frontier-Based Exploration for Unstructured Environments

IROS 2021poster

The paper proposes a reliable and robust planning solution to the long range robotic navigation problem in extremely cluttered environments. A two-layer planning architecture is proposed that leverages both the environment map and the direct depth sensor information to ensure maximal information gai…

Cited by 18SourceScholar
2020

Distributed Optimization of Nonlinear, Non-Gaussian, Communication-Aware Information using Particle Methods

ICRA 2020poster

This paper presents a distributed optimization framework and its local utility design for communication-aware information gathering by mobile robotic sensor networks. The main idea of the optimization is that each robot decides based on its local utility that considers the decisions of other neighbo…

Cited by 4SourceScholar
2020

Reactive Control and Metric-Topological Planning for Exploration

ICRA 2020poster

Autonomous navigation in unknown environments with the intent of exploring all traversable areas is a significant challenge for robotic platforms. In this paper, a simple yet reliable method for exploring unknown environments is presented based on bio-inspired reactive control and metric-topological…

Cited by 20SourceScholar
2019

A Communication-Aware Mutual Information Measure for Distributed Autonomous Robotic Information Gathering

RA-L 2019

This letter investigates the computation of information measures for distributed communication-aware information gathering by robotic sensor networks. The mutual information between an unknown target state and measurements received over a lossy network is derived in order to combine sensing and comm

Cited by 9SourceScholar
2016

Mutual Information based communication aware path planning: A game theoretic perspective

IROS 2016poster

This paper examines the problem of distributed path planning for a mobile sensor network comprised of communication-aware robots performing general information gathering missions. Mutual information is derived for distributed sensing over packet erasure channels that model multi-hop communication. W…

Cited by 13SourceScholar