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
Visual Navigation Among Humans with Optimal Control as a SupervisorCode1
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement LearningCode1
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
Quantitative Metrics for Benchmarking Human-Aware Robot NavigationCode0
Quantum Deep Reinforcement Learning for Robot Navigation TasksCode0
Real-time Trajectory-based Social Group DetectionCode0
PlanVerb: Domain-Independent Verbalization and Summary of Task PlansCode0
Planning with Goal-Conditioned PoliciesCode0
Predicting the Next Best View for 3D Mesh RefinementCode0
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Online Context Learning for Socially Compliant NavigationCode0
Path planning for Robotic Mobile Fulfillment SystemsCode0
Real-time Vision-based Navigation for a Robot in an Indoor EnvironmentCode0
NeuRoRA: Neural Robust Rotation AveragingCode0
Auxiliary Tasks and Exploration Enable ObjectNavCode0
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot NavigationCode0
Offline and Online calibration of Mobile Robot and SLAM Device for NavigationCode0
MSN: Multi-Style Network for Trajectory PredictionCode0
Correlation Flow: Robust Optical Flow Using Kernel Cross-CorrelatorsCode0
Corners for Layout: End-to-End Layout Recovery from 360 ImagesCode0
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language NavigationCode0
Contrastive Learning for Image Registration in Visual Teach and Repeat NavigationCode0
Lyapunov-based Safe Policy Optimization for Continuous ControlCode0
Quality Diversity Through SurpriseCode0
Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real TransferCode0
Show:102550
← PrevPage 5 of 22Next →

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