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 151–200 of 316 papers

TitleStatusHype
MetaCropFollow: Few-Shot Adaptation with Meta-Learning for Under-Canopy Navigation—0
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents—0
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues—0
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics—0
MRS-VPR: a multi-resolution sampling based global visual place recognition method—0
Gram-SLD: Automatic Self-labeling and Detection for Instance Objects—0
Multi-goal Audio-visual Navigation using Sound Direction Map—0
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning—0
Multimodal Large Language Model for Visual Navigation—0
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset—0
Google Map Aided Visual Navigation for UAVs in GPS-denied Environment—0
NaRPA: Navigation and Rendering Pipeline for Astronautics—0
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better—0
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability—0
Navigating to Objects in the Real World—0
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment—0
Neural Topological SLAM for Visual Navigation—0
Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones—0
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States—0
Object-oriented Targets for Visual Navigation using Rich Semantic Representations—0
Visuospatial navigation without distance, prediction, integration, or maps—0
Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation—0
Bird's Eye View Based Pretrained World model for Visual Navigation—0
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)—0
FloNa: Floor Plan Guided Embodied Visual Navigation—0
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning—0
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments—0
NOLO: Navigate Only Look Once—0
Optimizing Gaze Direction in a Visual Navigation Task—0
Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features—0
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav—0
Pay Self-Attention to Audio-Visual Navigation—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Perceptual Attention-based Predictive Control—0
Filter-Aware Model-Predictive Control—0
Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation—0
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation—0
Few-Shot Goal Inference for Visuomotor Learning and Planning—0
Pose Invariant Topological Memory for Visual Navigation—0
Predicting Topological Maps for Visual Navigation in Unexplored Environments—0
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution—0
Feudal Networks for Visual Navigation—0
Fast Traversability Estimation for Wild Visual Navigation—0
RAPID: Robust and Agile Planner Using Inverse Reinforcement Learning for Vision-Based Drone Navigation—0
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation—0
RCA: Ride Comfort-Aware Visual Navigation via Self-Supervised Learning—0
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach—0
ReCoRe: Regularized Contrastive Representation Learning of World Model—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