One of the intuitive instruction methods in robot navigation is a pointi...
Over the past few years, there has been a great deal of research on
navi...
The world is filled with articulated objects that are difficult to deter...
This paper presents a reinforcement learning method for object goal
navi...
Multi-agent path planning (MAPP) in continuous spaces is a challenging
p...
Inverse Reinforcement Learning (IRL) is attractive in scenarios where re...
The success of deep learning in the computer vision and natural language...
The main novelty of the proposed approach is that it allows a robot to l...
We present Neural A*, a novel data-driven search algorithm for path plan...
The usage of convolutional neural networks (CNNs) for unsupervised image...
In this paper, we consider the problem of building learning agents that ...
Various saliency detection algorithms from color images have been propos...
Bottom-up and top-down visual cues are two types of information that hel...
The paper gives futuristic challenges disscussed in the cvpaper.challeng...
We propose a Convolutional Neural Network (CNN)-based model "RotationNet...