SOTAVerified

Motion Planning

( Image credit: Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–425 of 920 papers

TitleStatusHype
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsCode0
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems—0
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEsCode1
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point CloudsCode1
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous VehiclesCode1
Generalized Object Search—0
Learning to View: Decision Transformers for Active Object Detection—0
Mitigating Motion Sickness with Optimization-based Motion Planning—0
Diffusion-based Generation, Optimization, and Planning in 3D ScenesCode2
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as ObservationCode1
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural NetworksCode1
Orbit: A Unified Simulation Framework for Interactive Robot Learning EnvironmentsCode5
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image—0
Quantitative Planning with Action Deception in Concurrent Stochastic Games—0
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing—0
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty PredictionsCode1
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Nonlinear controllability and function representation by neural stochastic differential equations—0
Learning Agile Paths from Optimal Control—0
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring—0
Robot Basics: Representation, Rotation and Velocity—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified