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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 316 papers

TitleStatusHype
Cross-Task Knowledge Transfer for Visually-Grounded Navigation—0
The Composite Visual-Laser Navigation Method Applied in Indoor Poultry Farming Environments—0
Combining Optimal Control and Learning for Visual Navigation in Novel Environments—0
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning—0
A Behavioral Approach to Visual Navigation with Graph Localization Networks—0
Causality-Aware Transformer Networks for Robotic Navigation—0
CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations—0
Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation—0
3d sequential image mosaicing for underwater navigation and mapping—0
Towards Generalisable Audio Representations for Audio-Visual Navigation—0
Bi-directional Loop Closure for Visual SLAM—0
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments—0
Autonomous Visual Navigation A Biologically Inspired Approach—0
Towards self-attention based visual navigation in the real world—0
Augmenting Imitation Experience via Equivariant Representations—0
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain—0
IN-Sight: Interactive Navigation through Sight—0
UAS Navigation in the Real World Using Visual Observation—0
UAS Visual Navigation in Large and Unseen Environments via a Meta Agent—0
Underwater inspection and intervention dataset—0
Unifying Map and Landmark Based Representations for Visual Navigation—0
Universal Successor Features Based Deep Reinforcement Learning for Navigation—0
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering—0
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI—0
Unsupervised Domain Adaptation for Visual Navigation—0
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation—0
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation—0
Utilizing High-level Visual Feature for Indoor Shopping Mall Navigation—0
Value Explicit Pretraining for Learning Transferable Representations—0
A Survey of Embodied AI: From Simulators to Research Tasks—0
Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation—0
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning—0
A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery—0
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems—0
A Novel Deep Neural Network Architecture for Mars Visual Navigation—0
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments—0
A Map-free Deep Learning-based Framework for Gate-to-Gate Monocular Visual Navigation aboard Miniaturized Aerial Vehicles—0
Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision—0
A Landmark-Aware Visual Navigation Dataset—0
VisualEchoes: Spatial Image Representation Learning through Echolocation—0
Agent-Centric Relation Graph for Object Visual Navigation—0
Visual Hindsight Self-Imitation Learning for Interactive Navigation—0
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning—0
A Decentralized Cooperative Navigation Approach for Visual Homing Networks—0
Improving Visual Feature Extraction in Glacial Environments—0
Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion—0
Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances—0
Integrating Symmetry into Differentiable Planning with Steerable Convolutions—0
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks—0
Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation—0
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All datasetsCooperative Vision-and-Dialogue NavigationR2RSOON TestAI2-THORDmlab-30Help, Anna! (HANNA)

Benchmark Results

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