SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 271–280 of 920 papers

TitleStatusHype
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
A Task and Motion Planning Framework Using Iteratively Deepened AND/OR Graph Networks—0
A Holistic Robust Motion Controller Framework for Autonomous Platooning—0
Federated reinforcement learning for robot motion planning with zero-shot generalization—0
Flatness-based motion planning for a non-uniform moving cantilever Euler-Bernoulli beam with a tip-mass—0
Free-configuration Biased Sampling for Motion Planning: Errata—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
A System View of the Recognition and Interpretation of Observed Human Shape, Pose and Action—0
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
Show:102550
← PrevPage 28 of 92Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified