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 125 of 542 papers

TitleStatusHype
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based LearningCode4
Navigation World ModelsCode4
ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot NavigationCode3
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object ManipulationCode3
Habitat: A Platform for Embodied AI ResearchCode2
GenNBV: Generalizable Next-Best-View Policy for Active 3D ReconstructionCode2
Situational Graphs for Robot Navigation in Structured Indoor EnvironmentsCode2
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public DataCode2
Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot NavigationCode2
Visual Language Maps for Robot NavigationCode2
ConceptFusion: Open-set Multimodal 3D MappingCode2
DualMap: Online Open-Vocabulary Semantic Mapping for Natural Language Navigation in Dynamic Changing ScenesCode2
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal EstimationCode1
Calibrating Panoramic Depth Estimation for Practical Localization and MappingCode1
Bilateral Grid Learning for Stereo Matching NetworksCode1
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object NavigationCode1
Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile RobotsCode1
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environmentsCode1
A Graph Neural Network to Model Disruption in Human-Aware Robot NavigationCode1
BADGR: An Autonomous Self-Supervised Learning-Based Navigation SystemCode1
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement LearningCode1
Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic EnvironmentsCode1
Benchmarking Reinforcement Learning Techniques for Autonomous NavigationCode1
BatVision: Learning to See 3D Spatial Layout with Two EarsCode1
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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