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"
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
Official Github repository for "Renderable Neural Radiance Map for Visual Navigation". (CVPR 2023 Highlight)
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
[NeurIPS2024] Multiview Scene Graph (topologically representing a scene from unposed images by interconnected place and object nodes)
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022 (Oral).
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings. NeurIPS 2022
Official GitHub Repository for paper "Visual Graph Memory with Unsupervised Representation for Visual Navigation", ICCV 2021
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
[ICCV 2023] PEANUT: Predicting and Navigating to Unseen Targets
Autonomous RC-Car racing competition in HKUST
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. CVPR 2022
[RSS2023] Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
Evaluating pre-trained navigation agents under corruptions
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
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
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