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 301325 of 542 papers

TitleStatusHype
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming0
Combining Optimal Control and Learning for Visual Navigation in Novel Environments0
Comparison of Selection Methods in On-line Distributed Evolutionary Robotics0
Complex Terrain Navigation via Model Error Prediction0
Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing0
Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation0
Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation0
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments0
A Vision-Based Navigation System for Arable Fields0
Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration0
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning0
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach0
Decision-Making Among Bounded Rational Agents0
Deep Active Inference for Autonomous Robot Navigation0
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking0
Deep Depth Completion from Extremely Sparse Data: A Survey0
Deep Equivariant Multi-Agent Control Barrier Functions0
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 Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments0
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments0
Deep Sensor Fusion for Real-Time Odometry Estimation0
Show:102550
← PrevPage 13 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
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