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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933067
Abstract: Existing belief space motion planning methods are not efficient for underwater robots that are subject to spatially varying motion and sensing uncertainties arising from the non-uniform current disturbances and landmark populations, respectively. Based on a…
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Keywords:
belief;
gaussian belief;
covariance;
belief space ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3227858
Abstract: Precise coordinated planning over a forward time window enables safe and highly efficient motion when many robots must work together in tight spaces, but this would normally require centralised control of all devices which is…
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Keywords:
belief propagation;
multi robot;
robot planning;
gaussian belief ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3180425
Abstract: This article provides a multihypothesis Gaussian belief propagation (MGBP) for radio ranging-based localization and mapping systems. To overcome the problem of lacking bearing information, MGBP is implemented via a new multihypothesis modeled message passing process,…
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Keywords:
localization mapping;
gaussian belief;
multihypothesis gaussian;
belief propagation ... See more keywords
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Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2951225
Abstract: In general, Gaussian belief propagation (BP) is not guaranteed to converge in loopy graphs. But when Gaussian BP converges to a fixed point of its update equations, the exact means of the marginal distributions can…
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Keywords:
convergence;
fixed points;
condition;
gaussian belief ... See more keywords