Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
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Updated
Apr 28, 2024 - Python
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)
Code and Data of the CVPR 2022 paper: Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022 (Oral).
Official GitHub Repository for paper "Visual Graph Memory with Unsupervised Representation for Visual Navigation", ICCV 2021
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS 2022
Autonomous RC-Car racing competition in HKUST
[ICCV 2023] PEANUT: Predicting and Navigating to Unseen Targets
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. CVPR 2022
Evaluating pre-trained navigation agents under corruptions
[RSS2023] Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
Environment Predictive Coding for Visual Navigation. ICLR 2022.
Visual Navigation in indoor environment with Top-down Semantic Map with both supervised training and Deep Reinforcement Learning manner
THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities
Supervised Learning Benchmarks for Point Goal Navigation in indoor cluttered environments in Habitat-API
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
code for paper 'Comparison of Model Free and Model-Based Learning-Informed Planning for PointGoal Navigation'
[ROB-GY 6203] Example Visual Navigation Player Code for Course Project
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