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 401425 of 542 papers

TitleStatusHype
Occlusion-Aware Depth Estimation with Adaptive Normal ConstraintsCode1
APPLD: Adaptive Planner Parameter Learning from Demonstration0
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey0
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent0
Adversarial Attacks on Monocular Depth Estimation0
Vector Field Guided Path Following Control: Singularity Elimination and Global ConvergenceCode1
One-Shot Informed Robotic Visual Search in the WildCode1
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot NavigationCode1
Visual Navigation Among Humans with Optimal Control as a SupervisorCode1
Social Navigation with Human Empowerment driven Deep Reinforcement LearningCode1
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth CuesCode1
Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real TransferCode0
Deep Active Inference for Autonomous Robot Navigation0
Learning View and Target Invariant Visual Servoing for NavigationCode1
Robust Policy Search for Robot Navigation0
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
Training Adversarial Agents to Exploit Weaknesses in Deep Control PoliciesCode0
Learning Navigation Costs from Demonstration in Partially Observable Environments0
BADGR: An Autonomous Self-Supervised Learning-Based Navigation SystemCode1
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
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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