1 code implementation • 1 May 2021 • Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi
We propose waypoint planning networks (WPN), a hybrid algorithm based on LSTMs with a local kernel - a classic algorithm such as A*, and a global kernel using a learned algorithm.
2 code implementations • 15 Feb 2021 • Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison
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.
1 code implementation • 4 Feb 2021 • Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark
We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks.
no code implementations • 30 Nov 2020 • 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 ground truth optimal paths for training).
1 code implementation • CVPR 2020 • Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
Robots and other smart devices need efficient object-based scene representations from their on-board vision systems to reason about contact, physics and occlusion.