SOTAVerified

Motion Planning

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

Papers

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Showing 341–350 of 920 papers

TitleStatusHype
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability—0
Robot Learning with Sensorimotor Pre-training—0
Parting with Misconceptions about Learning-based Vehicle Motion PlanningCode2
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning—0
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and CheckersCode1
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging scenariosCode1
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes—0
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingCode0
Scene as OccupancyCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified