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 376400 of 542 papers

TitleStatusHype
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers0
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach0
Multi-Scale Cost Volumes Cascade Network for Stereo Matching0
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation0
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation0
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based ApproachCode0
High-Speed Robot Navigation using Predicted Occupancy Maps0
Learning a Group-Aware Policy for Robot Navigation0
A comparative evaluation of machine learning methods for robot navigation through human crowds0
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation0
Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning0
Obstacle avoidance and path finding for mobile robot navigation0
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment0
Pushing the Envelope of Rotation Averaging for Visual SLAM0
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation0
Minimizing Robot Navigation-Graph For Position-Based Predictability By Humans0
SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation0
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach0
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking0
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic EnvironmentsCode0
Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label PropagationCode0
Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning: A Radio Map based Approach0
Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning Using Radio Maps0
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate ModelsCode0
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction0
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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