SOTAVerified

Robot Navigation

The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.

Source: Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis with Noise Model Embedding

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–542 of 542 papers

TitleStatusHype
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning—0
Formal Verification and Control with Conformal Prediction—0
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers—0
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation—0
Fully Convolutional Search Heuristic Learning for Rapid Path Planners—0
Future Frame Prediction of a Video Sequence—0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting—0
GeNIE: A Generalizable Navigation System for In-the-Wild Environments—0
Learning a Group-Aware Policy for Robot Navigation—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control—0
Harmonic (Quantum) Neural Networks—0
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments—0
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction—0
Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation—0
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation—0
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps—0
Hierarchies of Planning and Reinforcement Learning for Robot Navigation—0
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET—0
High-Resolution Depth Maps Based on TOF-Stereo Fusion—0
High-Speed Robot Navigation using Predicted Occupancy Maps—0
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning—0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning—0
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning—0
Human-Robot Navigation using Event-based Cameras and Reinforcement Learning—0
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform—0
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments—0
Indoor Localization for Autonomous Robot Navigation—0
Inertial Safety from Structured Light—0
In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation—0
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation—0
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
Integration of a Graph-Based Path Planner and Mixed-Integer MPC for Robot Navigation in Cluttered Environments—0
Intelligent Indoor Mobile Robot Navigation Using Stereo Vision—0
Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning Using Radio Maps—0
Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning: A Radio Map based Approach—0
Intelligent Spatial Perception by Building Hierarchical 3D Scene Graphs for Indoor Scenarios with the Help of LLMs—0
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals—0
ISC-POMDPs: Partially Observed Markov Decision Processes with Initial-State Dependent Costs—0
IVLMap: Instance-Aware Visual Language Grounding for Consumer Robot Navigation—0
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments—0
JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking—0
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All datasetsHabitat 2020 Object Nav minivalHabitat 2020 Object Nav test-stdHabitat 2020 Point Nav test-stdHabitat 2020 Point Nav minival

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SemExpSPL0.25—Unverified
2SRCB-robot-sudoerSPL0.12—Unverified
3Active Exploration (Pre-explore )SPL0.11—Unverified
4Blue OxSPL0.11—Unverified
5RLSPL0.06—Unverified
6Habitat-WebSPL0.03—Unverified
7Objects In Mirror Are Closer Than They AppearSPL0—Unverified
8CasaSPL0—Unverified
9PPO RGBDSPL0—Unverified
10Black SheepSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1THDASPL0.09—Unverified
26-Act TetherSPL0.08—Unverified
3SRCB-robot-sudoerSPL0.07—Unverified
4SemExpSPL0.07—Unverified
5Active Exploration (Pre-explore )SPL0.04—Unverified
6RGBD+DD-PPOSPL0.02—Unverified
7RL_20_torch_18SPL0.02—Unverified
8Blue OxSPL0.02—Unverified
9Black SheepSPL0—Unverified
10RandomAgentSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.53—Unverified
2SLAM-net + D*SPL0.38—Unverified
3OccupancyAnticipationSPL0.22—Unverified
4Information BottleneckSPL0.12—Unverified
5ego-localizationSPL0.12—Unverified
639SPL0.01—Unverified
7csoSPL0.01—Unverified
8UCULabSPL0.01—Unverified
9Habitat Team (RGBD+DD-PPO)SPL0—Unverified
10RandomAgentSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.61—Unverified
2OccupancyAnticipationSPL0.6—Unverified
3DANSPL0.53—Unverified
4Visual Odometry for Realistic PointGoal NavigationSPL0.5—Unverified
5ego-localizationSPL0.31—Unverified
6Information BottleneckSPL0.13—Unverified
7AlstarSPL0.05—Unverified
8RandomAgentSPL0—Unverified
9UCULabSPL0—Unverified