136 citations · 163 across the 3 of their papers we have counts for
4 papers
Learning from lions: inferring the utility of agents from their trajectories
Adam D. Cobb, Andrew Markham, Stephen J. Roberts
We build a model using Gaussian processes to infer a spatio-temporal vector field from observed agent trajectories. Significant landmarks or influence points in agent surroundings…
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang, Hongkai Wen, Sen Wang +3
In this paper, we propose a novel 3D-RecGAN approach, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial…
Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning
Linhai Xie, Sen Wang, Andrew Markham +1
Obstacle avoidance is a fundamental requirement for autonomous robots which operate in, and interact with, the real world. When perception is limited to monocular vision avoiding c…
Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization
Traian E. Abrudan, Orfeas Kypris, Niki Trigoni +1
In this paper, we analyze the effect of different underground materials on very-low and low frequency magnetic fields used in the contexts of magneto-inductive localization and com…