4.2k citations · 4.4k across the 40 of their papers we have counts for
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Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees
Tin Lai, Fabio Ramos, Gilad Francis
Sampling efficiency in a highly constrained environment has long been a major challenge for sampling-based planners. In this work, we propose Rapidly-exploring Random disjointed-Tr…
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments
Ransalu Senanayake, Fabio Ramos
Robots often have to deal with the challenges of operating in dynamic and sometimes unpredictable environments. Although an occupancy map of the environment is sufficient for navig…
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds
Kelvin Hsu, Richard Nock, Fabio Ramos
Conditional kernel mean embeddings are nonparametric models that encode conditional expectations in a reproducing kernel Hilbert space. While they provide a flexible and powerful f…
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos
We formalize the problem of learning interdomain correspondences in the absence of paired data as Bayesian inference in a latent variable model (LVM), where one seeks the underlyin…
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels
Anthony Tompkins, Fabio Ramos
Periodicity is often studied in timeseries modelling with autoregressive methods but is less popular in the kernel literature, particularly for higher dimensional problems such as…
Functional Path Optimisation for Exploration in Continuous Occupancy Maps
Gilad Francis, Lionel Ott, Fabio Ramos
Autonomous exploration is a complex task where the robot moves through an unknown environment with the goal of mapping it. The desired output of such a process is a sequence of pat…
Learning Non-Stationary Space-Time Models for Environmental Monitoring
Sahil Garg, Amarjeet Singh, Fabio Ramos
One of the primary aspects of sustainable development involves accurate understanding and modeling of environmental phenomena. Many of these phenomena exhibit variations in both sp…
Adaptive Sensing for Learning Nonstationary Environment Models
Sahil Garg, Amarjeet Singh, Fabio Ramos
Most environmental phenomena, such as wind profiles, ozone concentration and sunlight distribution under a forest canopy, exhibit nonstationary dynamics i.e. phenomenon variation c…
Learning to Race through Coordinate Descent Bayesian Optimisation
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott +3
In the automation of many kinds of processes, the observable outcome can often be described as the combined effect of an entire sequence of actions, or controls, applied throughout…