SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 171–180 of 920 papers

TitleStatusHype
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models—0
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion PlanningCode4
A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements—0
PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations—0
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation LearningCode1
Flatness-based motion planning for a non-uniform moving cantilever Euler-Bernoulli beam with a tip-mass—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—0
Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified