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 101125 of 542 papers

TitleStatusHype
Robot Navigation in Constrained Pedestrian Environments using Reinforcement LearningCode1
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement LearningCode1
An Approximation Approach for Solving the Subpath Planning Problem0
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems0
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation0
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
Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation0
A-MuSIC: An Adaptive Ensemble System For Visual Place Recognition In Changing Environments0
ADA-DPM: A Neural Descriptors-based Adaptive Noise Point Filtering Strategy for SLAM0
Deep Equivariant Multi-Agent Control Barrier Functions0
Deep Depth Completion from Extremely Sparse Data: A Survey0
Autonomous Warehouse Robot using Deep Q-Learning0
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry0
Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation0
Deep Local Trajectory Replanning and Control for Robot Navigation0
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance0
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking0
Deep Active Inference for Autonomous Robot Navigation0
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach0
4D-based Robot Navigation Using Relativistic Image Processing0
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments0
Deep Sensor Fusion for Real-Time Odometry Estimation0
Domain Invariant Siamese Attention Mask for Small Object Change Detection via Everyday Indoor Robot Navigation0
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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