Projects sharing features with Neural SLAM

SoundSpaces is a realistic acoustic simulation platform for audio-visual embodied AI research. From audio-visual navigation and echolocation to audio-visual floor plan reconstruction, this platform expands embodied vision research to a broader scope of topics.

1. Python 3.6+ (to be compatible with Habitat, though SplitNet is Python2.7 compatible). 1. Recommended: anaconda/miniconda 1. Slightly less recommended: virtualenv pip3 install virtualenv or sudo apt-get install python-virtualenv 1. A good attitude.

code for paper 'Learning View and Target Invariant Visual Servoing for Navigation'

Nikolay Savinov¹, Anton Raichuk², Raphaël Marinier², Damien Vincent², Marc Pollefeys¹, Timothy Lillicrap³, Sylvain Gelly² ¹ETH Zurich, ²Google AI, ³DeepMind

This repository includes the code that can be used to reproduce the results of our paper Last-Mile Embodied Visual Navigation.

Habitat-API

Auxiliary Tasks and Exploration Enable ObjectNav Joel Ye, Dhruv Batra, Abhishek Das, and Erik Wijmans.

This is the source code for our ICCV2019 paper, which implements a visual navigation agent with a Bayesian relational memory over semantic concepts in the House3D environment.

Paper: A Behavioral Approach to Visual Navigation with Graph Localization Networks Website: https://graphnav.stanford.edu/ Video: https://youtu.be/nN3B1F90CFM

Nikolay Savinov¹, Alexey Dosovitskiy², Vladlen Koltun² ¹ETH Zurich, ²Intel Labs

Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell University of California, Berkeley

This repository contains a Pytorch implementation of our CoRL 2022 oral paper:

This is an official GitHub Repository for paper "Visual Graph Memory with Unsupervised Representation for Visual Navigation", which is accepted as a regular paper (poster) in ICCV 2021.

This is a PyTorch implementation of our NeurIPS 2020 paper, MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation.

A journal version of this work in conjunction with our prior work on Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks has been published in Science Robotics 2019.

This repository contains the code for the paper:

If you find this code useful, please consider citing our work:

Symmetry-aware Neural Architecture for Embodied Visual Exploration CVPR2022 by Shuang Liu, Okatani Takayuki

Contribution of SoundSpaces: - Build an audio simulation platform SoundSpaces1 to enable audio-visual navigation for two visually realistic 3D environments: Replica2 and Matterport3D3. - Proposed AudioGoal navigation Task:This task requires a robot equipped with a camera and microphones to…

This is the PyTorch implementation for our paper:

GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction CVPR 2024 Xiao Chen   Quanyi Li   Tai Wang   Tianfan Xue   Jiangmiao Pang   Shanghai AI Laboratory The Chinese University of Hong Kong