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 276300 of 542 papers

TitleStatusHype
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology0
Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layout0
Resilient Monotone Sequential Maximization0
Resilient Non-Submodular Maximization over Matroid Constraints0
Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective0
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning0
RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation0
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation0
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics0
Robot navigation and target capturing using nature-inspired approaches in a dynamic environment0
Robot Navigation Anticipative Strategies in Deep Reinforcement Motion Planning0
Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences0
Robot Navigation in Unseen Spaces using an Abstract Map0
Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning0
Robot Navigation with Reinforcement Learned Path Generation and Fine-Tuned Motion Control0
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation0
Robust and accurate depth estimation by fusing LiDAR and Stereo0
Robustification of Online Graph Exploration Methods0
Robust Monocular Visual Odometry using Curriculum Learning0
Robust Output-Feedback MPC for Nonlinear Systems with Applications to Robotic Exploration0
Robust Policy Search for Robot Navigation0
Robust Stutter Bisimulation for Abstraction and Controller Synthesis with Disturbance: Proofs0
Role Playing Learning for Socially Concomitant Mobile Robot Navigation0
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction0
Open-World Distributed Robot Self-Localization with Transferable Visual Vocabulary and Both Absolute and Relative Features0
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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