Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
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Updated
Jun 17, 2024 - Python
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Reading list for research topics in embodied vision
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
Official GitHub Repository for paper "Visual Graph Memory with Unsupervised Representation for Visual Navigation", ICCV 2021
[ROB-GY 6203] Example Visual Navigation Player Code for Course Project
Autonomous RC-Car racing competition in HKUST
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022 (Oral).
This project uses the video from a small unmanned aerial system to autonomously navigate an unmanned surface vehicle covered in a flotation jacket to reach drowning victims.
Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)
THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities
Code and Data of the CVPR 2022 paper: Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS 2022
Official implementation of paper "CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning" by M. Chancán (ICRA 2020) https://doi.org/10.1109/ICRA40945.2020.9197336
Code for end to end deep learning based visual navigation for navigating agricultural fields.
[ICCV 2023] PEANUT: Predicting and Navigating to Unseen Targets
Python package of simulated environments (e.g. sky and the world), using common and easy-to-install packages, e.g. NumPy and SciPy.
Evaluating pre-trained navigation agents under corruptions
Supervised Learning Benchmarks for Point Goal Navigation in indoor cluttered environments in Habitat-API
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