Search Results for author: Daniel Lenton

Found 5 papers, 4 papers with code

Waypoint Planning Networks

1 code implementation1 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.

Motion Planning

End-to-End Egospheric Spatial Memory

2 code implementations15 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.

General Reinforcement Learning Imitation Learning +3

Ivy: Templated Deep Learning for Inter-Framework Portability

1 code implementation4 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.

Unsupervised Path Regression Networks

no code implementations30 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).

Motion Planning regression

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion

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.

6D Pose Estimation

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