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 401–450 of 542 papers

TitleStatusHype
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze—0
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach—0
On the Generalization Capability of Evolved Counter-propagation Neuro-controllers for Robot Navigation—0
OpenObject-NAV: Open-Vocabulary Object-Oriented Navigation Based on Dynamic Carrier-Relationship Scene Graph—0
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent—0
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications—0
PACER: Preference-conditioned All-terrain Costmap Generation—0
Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices—0
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics—0
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning—0
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks—0
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—0
Planning and Control of Multi-Robot-Object Systems under Temporal Logic Tasks and Uncertain Dynamics—0
Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents—0
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games—0
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation—0
Point Cloud in the Air—0
Position Paper: From Multi-Agent Pathfinding to Pipe Routing—0
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation—0
Pre-Trained Masked Image Model for Mobile Robot Navigation—0
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms—0
Projecting Trackable Thermal Patterns for Dynamic Computer Vision—0
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization—0
Pushing the Envelope of Rotation Averaging for Visual SLAM—0
Ranking-aware Continual Learning for LiDAR Place Recognition—0
Reach-Avoid-Stay-Collision-Avoidance Negotiation Framework for Multi-Agent Systems via Spatiotemporal Tubes—0
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape—0
Real Time Object Tracking Based on Inter-frame Coding: A Review—0
Reinforcement Learning as a Robotics-Inspired Framework for Insect Navigation: From Spatial Representations to Neural Implementation—0
Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation—0
Reflex-Based Open-Vocabulary Navigation without Prior Knowledge Using Omnidirectional Camera and Multiple Vision-Language Models—0
ReIL: A Framework for Reinforced Intervention-based Imitation Learning—0
Reinforcement learning based local path planning for mobile robot—0
Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders—0
RenderNet: Visual Relocalization Using Virtual Viewpoints in Large-Scale Indoor Environments—0
Research on Autonomous Robots Navigation based on Reinforcement Learning—0
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology—0
Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layout—0
Resilient Monotone Sequential Maximization—0
Resilient Non-Submodular Maximization over Matroid Constraints—0
Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective—0
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning—0
RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation—0
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation—0
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics—0
Robot navigation and target capturing using nature-inspired approaches in a dynamic environment—0
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning—0
Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences—0
Robot Navigation in Unseen Spaces using an Abstract Map—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
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