activity
20122021
most citedSimple Online and Realtime Tracking

4.2k citations · 4.4k across the 40 of their papers we have counts for

collaborators
Showing 2017Show all

7 papers · 1 filter

cs.RO2017

Learning to Navigate by Growing Deep Networks

Thushan Ganegedara, Lionel Ott, Fabio Ramos

Adaptability is central to autonomy. Intuitively, for high-dimensional learning problems such as navigating based on vision, internal models with higher complexity allow to accurat…

cs.RO2017

Bayesian Optimisation for Safe Navigation under Localisation Uncertainty

Rafael Oliveira, Lionel Ott, Vitor Guizilini +1

In outdoor environments, mobile robots are required to navigate through terrain with varying characteristics, some of which might significantly affect the integrity of the platform…

cs.RO2017★ 3 cited

Stochastic Functional Gradient Path Planning in Occupancy Maps

Gilad Francis, Lionel Ott, Fabio Ramos

Planning safe paths is a major building block in robot autonomy. It has been an active field of research for several decades, with a plethora of planning methods. Planners can be g…

cs.RO2017★ 2 cited

Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs

Philippe Morere, Roman Marchant, Fabio Ramos

Bayesian Optimisation has gained much popularity lately, as a global optimisation technique for functions that are expensive to evaluate or unknown a priori. While classical BO foc…

cs.RO2017★ 2 cited

Occupancy Map Building through Bayesian Exploration

Gilad Francis, Lionel Ott, Roman Marchant +1

We propose a novel holistic approach for safe autonomous exploration and map building based on constrained Bayesian optimisation. This method finds optimal continuous paths instead…

cs.RO2017★ 2 cited

Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps

Gilad Francis, Lionel Ott, Fabio Ramos

Safe path planning is a crucial component in autonomous robotics. The many approaches to find a collision free path can be categorically divided into trajectory optimisers and samp…

cs.CV2017

Urban Scene Segmentation with Laser-Constrained CRFs

Charika De Alvis, Lionel Ott, Fabio Ramos

Robots typically possess sensors of different modalities, such as colour cameras, inertial measurement units, and 3D laser scanners. Often, solving a particular problem becomes eas…