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 326350 of 542 papers

TitleStatusHype
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation0
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation0
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping0
Rule-based Shielding for Partially Observable Monte-Carlo PlanningCode0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision TreesCode0
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction0
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform0
Auxiliary Tasks and Exploration Enable ObjectNavCode0
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point CloudsCode1
Enhanced Boundary Learning for Glass-like Object SegmentationCode1
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers0
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor EnvironmentsCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online PlanningCode1
A Graph Neural Network to Model Disruption in Human-Aware Robot NavigationCode1
End-to-End Egospheric Spatial MemoryCode1
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach0
Multi-Scale Cost Volumes Cascade Network for Stereo Matching0
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation0
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation0
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based ApproachCode0
Learning a Group-Aware Policy for Robot Navigation0
High-Speed Robot Navigation using Predicted Occupancy Maps0
A comparative evaluation of machine learning methods for robot navigation through human crowds0
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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