SOTAVerified

Motion Planning

Papers

Showing 2650 of 920 papers

TitleStatusHype
Solving Motion Planning Tasks with a Scalable Generative ModelCode2
Model-Based Imitation Learning for Urban DrivingCode2
Point Cloud Forecasting as a Proxy for 4D Occupancy ForecastingCode2
GPD-1: Generative Pre-training for DrivingCode2
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown EnvironmentsCode2
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex ManipulationCode2
GaussianAD: Gaussian-Centric End-to-End Autonomous DrivingCode2
GPT-Driver: Learning to Drive with GPTCode2
Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and PlanningCode2
Large Trajectory Models are Scalable Motion Predictors and PlannersCode2
Multi-Robot Motion Planning with Diffusion ModelsCode2
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure ReasoningCode2
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional ContactCode1
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement LearningCode1
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined SpacesCode1
Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion PlanningCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
Geometric Algebra TransformerCode1
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial GamesCode1
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable SimulatorCode1
Actor-Critic Reinforcement Learning for Control with Stability GuaranteeCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35Unverified