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 501–525 of 542 papers

TitleStatusHype
Offline and Online calibration of Mobile Robot and SLAM Device for NavigationCode0
Resilient Non-Submodular Maximization over Matroid Constraints—0
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language NavigationCode0
Resilient Monotone Sequential Maximization—0
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object ClassificationCode0
Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM—0
Correlation Flow: Robust Optical Flow Using Kernel Cross-CorrelatorsCode0
Learning Representations Specialized in Spatial Knowledge: Leveraging Language and VisionCode0
Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue—0
Smoothness-based Edge Detection using Low-SNR Camera for Robot Navigation—0
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot NavigationCode0
WHY: Natural Explanations from a Robot Navigator—0
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning—0
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation—0
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games—0
ChromaTag: A Colored Marker and Fast Detection Algorithm—0
Semantic 3D Occupancy Mapping through Efficient High Order CRFs—0
Path planning for Robotic Mobile Fulfillment SystemsCode0
Role Playing Learning for Socially Concomitant Mobile Robot Navigation—0
Neural Network Memory Architectures for Autonomous Robot Navigation—0
SkiMap: An Efficient Mapping Framework for Robot NavigationCode0
Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue—0
Fast and Robust Detection of Fallen People from a Mobile Robot—0
Learning Policies for Markov Decision Processes from Data—0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks—0
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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
7CasaSPL0—Unverified
8PPO RGBDSPL0—Unverified
9Black SheepSPL0—Unverified
10Clever TortoiseSPL0—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
9CasaSPL0—Unverified
10Forward_OnlySPL0—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
8UCULabSPL0—Unverified
9RandomAgentSPL0—Unverified