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
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
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022 (Oral).
[NeurIPS2024] Multiview Scene Graph (topologically representing a scene from unposed images by interconnected place and object nodes)
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
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
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
[IROS 2024] HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
Paper & Project lists of cutting-edge research on visual navigation and embodied AI.
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