12 citations · 19 across the 4 of their papers we have counts for
5 papers
Waypoint Planning Networks
Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh +4
With the recent advances in machine learning, path planning algorithms are also evolving; however, the learned path planning algorithms often have difficulty competing with success…
End-to-End Egospheric Spatial Memory
Daniel Lenton, Stephen James, Ronald Clark +1
Spatial memory, or the ability to remember and recall specific locations and objects, is central to autonomous agents' ability to carry out tasks in real environments. However, mos…
Ivy: Templated Deep Learning for Inter-Framework Portability
Daniel Lenton, Fabio Pardo, Fabian Falck +2
We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks. Ivy unifies the core functions of these frameworks to exhibit consistent call sig…
Unsupervised Path Regression Networks
Michal Pándy, Daniel Lenton, Ronald Clark
We demonstrate that challenging shortest path problems can be solved via direct spline regression from a neural network, trained in an unsupervised manner (i.e. without requiring g…
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
Kentaro Wada, Edgar Sucar, Stephen James +2
Robots and other smart devices need efficient object-based scene representations from their on-board vision systems to reason about contact, physics and occlusion. Recognized preci…