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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 542 papers

TitleStatusHype
Robot Navigation with Reinforcement Learned Path Generation and Fine-Tuned Motion Control—0
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation—0
Decision-Making Among Bounded Rational Agents—0
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning—0
ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view—0
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control—0
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields—0
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation—0
StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks—0
Semantic Visual Simultaneous Localization and Mapping: A Survey—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments—0
RenderNet: Visual Relocalization Using Virtual Viewpoints in Large-Scale Indoor Environments—0
Robust and accurate depth estimation by fusing LiDAR and Stereo—0
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision—0
PlanVerb: Domain-Independent Verbalization and Summary of Task PlansCode0
Robust Stutter Bisimulation for Abstraction and Controller Synthesis with Disturbance: Proofs—0
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning—0
Upper Bounds for Continuous-Time End-to-End Risks in Stochastic Robot Navigation—0
Deep Depth Completion from Extremely Sparse Data: A Survey—0
Multi-subgoal Robot Navigation in Crowds with History Information and Interactions—0
Planning and Control of Multi-Robot-Object Systems under Temporal Logic Tasks and Uncertain Dynamics—0
Active Domain-Invariant Self-Localization Using Ego-Centric and World-Centric Maps—0
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning—0
Contrastive Learning for Image Registration in Visual Teach and Repeat NavigationCode0
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All datasetsHabitat 2020 Object Nav minivalHabitat 2020 Object Nav test-stdHabitat 2020 Point Nav test-stdHabitat 2020 Point Nav minival

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SemExpSPL0.25—Unverified
2SRCB-robot-sudoerSPL0.12—Unverified
3Active Exploration (Pre-explore )SPL0.11—Unverified
4Blue OxSPL0.11—Unverified
5RLSPL0.06—Unverified
6Habitat-WebSPL0.03—Unverified
7Objects In Mirror Are Closer Than They AppearSPL0—Unverified
8CasaSPL0—Unverified
9PPO RGBDSPL0—Unverified
10Black SheepSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1THDASPL0.09—Unverified
26-Act TetherSPL0.08—Unverified
3SRCB-robot-sudoerSPL0.07—Unverified
4SemExpSPL0.07—Unverified
5Active Exploration (Pre-explore )SPL0.04—Unverified
6RGBD+DD-PPOSPL0.02—Unverified
7RL_20_torch_18SPL0.02—Unverified
8Blue OxSPL0.02—Unverified
9Black SheepSPL0—Unverified
10RandomAgentSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.53—Unverified
2SLAM-net + D*SPL0.38—Unverified
3OccupancyAnticipationSPL0.22—Unverified
4Information BottleneckSPL0.12—Unverified
5ego-localizationSPL0.12—Unverified
639SPL0.01—Unverified
7csoSPL0.01—Unverified
8UCULabSPL0.01—Unverified
9Habitat Team (RGBD+DD-PPO)SPL0—Unverified
10RandomAgentSPL0—Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.61—Unverified
2OccupancyAnticipationSPL0.6—Unverified
3DANSPL0.53—Unverified
4Visual Odometry for Realistic PointGoal NavigationSPL0.5—Unverified
5ego-localizationSPL0.31—Unverified
6Information BottleneckSPL0.13—Unverified
7AlstarSPL0.05—Unverified
8RandomAgentSPL0—Unverified
9UCULabSPL0—Unverified