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 501525 of 542 papers

TitleStatusHype
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning0
Formal Verification and Control with Conformal Prediction0
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers0
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation0
Fully Convolutional Search Heuristic Learning for Rapid Path Planners0
Future Frame Prediction of a Video Sequence0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting0
GeNIE: A Generalizable Navigation System for In-the-Wild Environments0
Learning a Group-Aware Policy for Robot Navigation0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model0
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control0
Harmonic (Quantum) Neural Networks0
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments0
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction0
Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation0
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation0
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps0
Hierarchies of Planning and Reinforcement Learning for Robot Navigation0
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET0
High-Resolution Depth Maps Based on TOF-Stereo Fusion0
High-Speed Robot Navigation using Predicted Occupancy Maps0
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning0
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning0
Human-Robot Navigation using Event-based Cameras and Reinforcement Learning0
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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