SOTAVerified

Visual Navigation

Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.

Source: Vision-based Navigation Using Deep Reinforcement Learning

Papers

Showing 101125 of 316 papers

TitleStatusHype
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments0
SACSoN: Scalable Autonomous Control for Social Navigation0
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and HearCode1
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language ModelsCode2
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning0
Fast Traversability Estimation for Wild Visual Navigation0
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics0
Filter-Aware Model-Predictive Control0
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics0
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav0
DRISHTI: Visual Navigation Assistant for Visually Impaired0
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding0
Robustness of Utilizing Feedback in Embodied Visual Navigation0
POPGym: Benchmarking Partially Observable Reinforcement LearningCode2
Renderable Neural Radiance Map for Visual NavigationCode1
ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion0
Embodied Agents for Efficient Exploration and Smart Scene Description0
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States0
Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation0
Offline Reinforcement Learning for Visual NavigationCode1
BEVBert: Multimodal Map Pre-training for Language-guided NavigationCode2
Navigating to Objects in the Real World0
Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances0
MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents0
Predicting Topological Maps for Visual Navigation in Unexplored Environments0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NaviLLMdist_to_end_reduction7.9Unverified
2VLN-PETLdist_to_end_reduction6.13Unverified
3early to beddist_to_end_reduction6.03Unverified
4HAMTdist_to_end_reduction5.58Unverified
5s-agent (NDH-Full)dist_to_end_reduction5.27Unverified
6BabyWalk (r2r-pretrain)dist_to_end_reduction4.46Unverified
7Environment-agnostic Multitask Learningdist_to_end_reduction3.91Unverified
8BabyWalkdist_to_end_reduction3.65Unverified
9Test2-NDHdist_to_end_reduction3.44Unverified
10SCoAdist_to_end_reduction3.37Unverified
#ModelMetricClaimedVerifiedStatus
1SUSAspl0.64Unverified
2Meta-Explorespl0.61Unverified
3NaviLLMspl0.6Unverified
4BEV-BERTspl0.6Unverified
5HOPspl0.59Unverified
6DUETspl0.58Unverified
7VLN-PETLspl0.58Unverified
8VLN-BERTspl0.57Unverified
9Prevalentspl0.51Unverified
10RCM+SIL(no early exploration)spl0.38Unverified
#ModelMetricClaimedVerifiedStatus
1AutoVLNNav-SPL27.83Unverified
2NaviLLMNav-SPL26.26Unverified
3Meta-ExploreNav-SPL25.8Unverified
4SUSANav-SPL25.47Unverified
5DUETNav-SPL21.42Unverified
6GBENav-SPL13.3Unverified
#ModelMetricClaimedVerifiedStatus
1MVV-INSPL (All)17.27Unverified
2SAVNSPL (All)16.15Unverified
#ModelMetricClaimedVerifiedStatus
1PopArt-IMPALAMedium Human-Normalized Score72.8Unverified
#ModelMetricClaimedVerifiedStatus
1Prevalentspl28.72Unverified