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 476500 of 542 papers

TitleStatusHype
Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception0
Domain Invariant Siamese Attention Mask for Small Object Change Detection via Everyday Indoor Robot Navigation0
Don't do it: Safer Reinforcement Learning With Rule-based Guidance0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization0
DynaWeightPnP: Toward global real-time 3D-2D solver in PnP without correspondences0
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction0
E(2)-Equivariant Graph Planning for Navigation0
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning0
Efficient Dynamic Shielding for Parametric Safety Specifications0
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks0
GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments0
Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements0
Enhancing Supermarket Robot Interaction: A Multi-Level LLM Conversational Interface for Handling Diverse Customer Intents0
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion0
Evaluation of Zadoff-Chu, Kasami and Chirp based encoding schemes for Acoustic Local Positioning Systems0
Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making0
Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments0
Extending One-Stage Detection with Open-World Proposals0
Extracting Spatial Entities and Relations in Korean Text0
Fast and Robust Detection of Fallen People from a Mobile Robot0
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data0
FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation0
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation0
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment0
Floorplan-SLAM: A Real-Time, High-Accuracy, and Long-Term Multi-Session Point-Plane SLAM for Efficient Floorplan Reconstruction0
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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
7CasaSPL0Unverified
8PPO RGBDSPL0Unverified
9Black SheepSPL0Unverified
10Clever TortoiseSPL0Unverified
#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
9CasaSPL0Unverified
10Forward_OnlySPL0Unverified
#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
8UCULabSPL0Unverified
9RandomAgentSPL0Unverified