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 426450 of 542 papers

TitleStatusHype
Deep Active Inference for Autonomous Robot Navigation0
Robust Policy Search for Robot Navigation0
Training Adversarial Agents to Exploit Weaknesses in Deep Control PoliciesCode0
Learning Navigation Costs from Demonstration in Partially Observable Environments0
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach0
Robot Navigation in Unseen Spaces using an Abstract Map0
Stochastic Finite State Control of POMDPs with LTL Specifications0
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components0
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET0
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization0
NeuRoRA: Neural Robust Rotation AveragingCode0
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning0
Kernel learning for visual perceptionCode0
Three Dimensional Route Planning for Multiple Unmanned Aerial Vehicles using Salp Swarm Algorithm0
Planning with Goal-Conditioned PoliciesCode0
Robot navigation and target capturing using nature-inspired approaches in a dynamic environment0
Towards Automatic Annotation for Semantic Segmentation in Drone Videos0
Learning Continuous Occupancy Maps with the Ising Process Model0
Topological Navigation Graph Framework0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Measuring robustness of Visual SLAM0
Object Segmentation Tracking from Generic Video Cues0
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance0
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos0
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals0
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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