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

Showing 101–125 of 542 papers

TitleStatusHype
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement LearningCode1
One-Shot Reinforcement Learning for Robot Navigation with Interactive ReplayCode1
ADA-DPM: A Neural Descriptors-based Adaptive Noise Point Filtering Strategy for SLAM—0
GeNIE: A Generalizable Navigation System for In-the-Wild Environments—0
Human-Robot Navigation using Event-based Cameras and Reinforcement Learning—0
Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material—0
LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization—0
Deep Equivariant Multi-Agent Control Barrier Functions—0
Multimodal Spatial Language Maps for Robot Navigation and Manipulation—0
Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning—0
SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement LearningCode0
Olfactory Inertial Odometry: Methodology for Effective Robot Navigation by Scent—0
Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation—0
Efficient Dynamic Shielding for Parametric Safety Specifications—0
Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements—0
UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction—0
SayCoNav: Utilizing Large Language Models for Adaptive Collaboration in Decentralized Multi-Robot Navigation—0
Ranking-aware Continual Learning for LiDAR Place Recognition—0
Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics—0
Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation—0
Integration of a Graph-Based Path Planner and Mixed-Integer MPC for Robot Navigation in Cluttered Environments—0
Robust Output-Feedback MPC for Nonlinear Systems with Applications to Robotic Exploration—0
Development of a PPO-Reinforcement Learned Walking Tripedal Soft-Legged Robot using SOFACode0
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment—0
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation—0
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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