SOTAVerified

Motion Planning

Papers

Showing 101125 of 920 papers

TitleStatusHype
Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion PlanningCode1
Large Language Models for Multi-Robot Systems: A SurveyCode1
A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative ObjectCode1
Learning a Decentralized Multi-arm Motion PlannerCode1
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory ResetsCode1
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and CheckersCode1
Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid GamesCode1
Learning from Human Directional CorrectionsCode1
Learning Heuristic Search via ImitationCode1
Learning hierarchical behavior and motion planning for autonomous drivingCode1
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot ManipulationCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial GamesCode1
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional ContactCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
Extended Tree Search for Robot Task and Motion PlanningCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement LearningCode1
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle ImitationCode1
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as ObservationCode1
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPsCode1
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35Unverified