7 citations · 11 across the 7 of their papers we have counts for
8 papers
DisFlow: Scene Flow from Distance Field for Object Pose, Velocity Tracking, and Dynamic Object Reconstruction
Lan Wu, Sheila Sutjipto, Jennifer Wakulicz +1
We present \emph{DisFlow}, a novel framework for online scene flow estimation from distance field that enables \emph{6DoF dynamic object pose estimation}, \emph{motion tracking}, a…
Homotopic information gain for sparse active target tracking
Jennifer Wakulicz, Ki Myung Brian Lee, Teresa Vidal-Calleja +1
The problem of planning sensing trajectories for a mobile robot to collect observations of a target and predict its future trajectory is known as active target tracking. Enabled by…
Mag-Match: Magnetic Vector Field Features for Map Matching and Registration
William McDonald, Cedric Le Gentil, Jennifer Wakulicz +1
Map matching and registration are essential tasks in robotics for localisation and integration of multi-session or multi-robot data. Traditional methods rely on cameras or LiDARs t…
Decentralised Active Perception in Continuous Action Spaces for the Coordinated Escort Problem
Rhett Hull, Ki Myung Brian Lee, Jennifer Wakulicz +6
We consider the coordinated escort problem, where a decentralised team of supporting robots implicitly assist the mission of higher-value principal robots. The defining challenge i…
Topological Trajectory Prediction with Homotopy Classes
Jennifer Wakulicz, Ki Myung Brian Lee, Teresa Vidal-Calleja +1
Trajectory prediction in a cluttered environment is key to many important robotics tasks such as autonomous navigation. However, there are an infinite number of possible trajectori…
Multi-query Robotic Manipulator Task Sequencing with Gromov-Hausdorff Approximations
Fouad Sukkar, Jennifer Wakulicz, Ki Myung Brian Lee +2
Robotic manipulator applications often require efficient online motion planning. When completing multiple tasks, sequence order and choice of goal configuration can have a drastic…
Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
Jennifer Wakulicz, Ki Myung Brian Lee, Chanyeol Yoo +2
We present a planning framework for minimising the deterministic worst-case error in sparse Gaussian process (GP) regression. We first derive a universal worst-case error bound for…
Active Information Acquisition under Arbitrary Unknown Disturbances
Jennifer Wakulicz, He Kong, Salah Sukkarieh
Trajectory optimization of sensing robots to actively gather information of targets has received much attention in the past. It is well-known that under the assumption of linear Ga…