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Decentralized State Estimation via a Hybrid of Consensus and Covariance intersection – Technical Report
This paper presents a new recursive information consensus filter for decentralized dynamic-state estimation. No structure is assumed about the topology of the network and local estimators are assumed to have access only to local information. The network need not be connected at all times. Consensus over priors which might become correlated is performed through Covariance Intersection (CI) and consensus over new […]
ICRA 2014, Hong Kong
Lab member Saurav Agarwal recently presented our group’s work on the application of FIRM to physical mobile robots (video above). FIRM (Feedback-based Information RoadMap) is a method developed by Dr. Ali-akbar Agha-mohammadi that allows for motion planning in belief space. We got to visit the Univ. of Hong Kong and see the ATLAS (Boston Dynamics) live in […]