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 151175 of 542 papers

TitleStatusHype
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based ApproachCode0
An Open-source Sim2Real Approach for Sensor-independent Robot Navigation in a GridCode0
Improving Generalization in Reinforcement Learning Training Regimes for Social Robot NavigationCode0
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial PatchesCode0
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object ClassificationCode0
Development of a PPO-Reinforcement Learned Walking Tripedal Soft-Legged Robot using SOFACode0
Gibson Env: Real-World Perception for Embodied AgentsCode0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
Detecting danger in gridworlds using Gromov's Link ConditionCode0
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular VideosCode0
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate ModelsCode0
HuBeRo - a Framework to Simulate Human Behaviour in Robot ResearchCode0
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport0
Deep Sensor Fusion for Real-Time Odometry Estimation0
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments0
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems0
An Approximation Approach for Solving the Subpath Planning Problem0
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments0
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation0
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation0
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance0
Deep Local Trajectory Replanning and Control for Robot Navigation0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation0
Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation0
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SemExpSPL0.25Unverified
2SRCB-robot-sudoerSPL0.12Unverified
3Active Exploration (Pre-explore )SPL0.11Unverified
4Blue OxSPL0.11Unverified
5RLSPL0.06Unverified
6Habitat-WebSPL0.03Unverified
7Objects In Mirror Are Closer Than They AppearSPL0Unverified
8CasaSPL0Unverified
9PPO RGBDSPL0Unverified
10Black SheepSPL0Unverified
#ModelMetricClaimedVerifiedStatus
1THDASPL0.09Unverified
26-Act TetherSPL0.08Unverified
3SRCB-robot-sudoerSPL0.07Unverified
4SemExpSPL0.07Unverified
5Active Exploration (Pre-explore )SPL0.04Unverified
6RGBD+DD-PPOSPL0.02Unverified
7RL_20_torch_18SPL0.02Unverified
8Blue OxSPL0.02Unverified
9Black SheepSPL0Unverified
10RandomAgentSPL0Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.53Unverified
2SLAM-net + D*SPL0.38Unverified
3OccupancyAnticipationSPL0.22Unverified
4Information BottleneckSPL0.12Unverified
5ego-localizationSPL0.12Unverified
639SPL0.01Unverified
7csoSPL0.01Unverified
8UCULabSPL0.01Unverified
9Habitat Team (RGBD+DD-PPO)SPL0Unverified
10RandomAgentSPL0Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.61Unverified
2OccupancyAnticipationSPL0.6Unverified
3DANSPL0.53Unverified
4Visual Odometry for Realistic PointGoal NavigationSPL0.5Unverified
5ego-localizationSPL0.31Unverified
6Information BottleneckSPL0.13Unverified
7AlstarSPL0.05Unverified
8RandomAgentSPL0Unverified
9UCULabSPL0Unverified