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 451–475 of 542 papers

TitleStatusHype
Multi-Agent Hierarchical Reinforcement Learning for Humanoid Navigation—0
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze—0
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets—0
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation—0
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation—0
Task-assisted Motion Planning in Partially Observable Domains—0
An Objectness Score for Accurate and Fast Detection during Navigation—0
Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion—0
Fully Convolutional Search Heuristic Learning for Rapid Path Planners—0
Deep Sensor Fusion for Real-Time Odometry Estimation—0
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics—0
Large-scale, real-time visual-inertial localization revisited—0
Universal Successor Features Based Deep Reinforcement Learning for Navigation—0
Mobile Robot Navigation Using Fuzzy-GA Approaches Along with Three Path Concept—0
A survey of Object Classification and Detection based on 2D/3D data—0
Position Paper: From Multi-Agent Pathfinding to Pipe Routing—0
Deep Local Trajectory Replanning and Control for Robot Navigation—0
Self-Supervised Visual Place Recognition Learning in Mobile Robots—0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning—0
Long Range Neural Navigation Policies for the Real World—0
Corners for Layout: End-to-End Layout Recovery from 360 ImagesCode0
Combining Optimal Control and Learning for Visual Navigation in Novel Environments—0
Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments—0
Long-Range Indoor Navigation with PRM-RL—0
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model—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