SOTAVerified

Motion Planning

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

Papers

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Showing 441–450 of 920 papers

TitleStatusHype
Free-configuration Biased Sampling for Motion Planning: Errata—0
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning—0
Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning—0
Forming Real-World Human-Robot Cooperation for Tasks With General Goal—0
Combined Task and Motion Planning as Classical AI Planning—0
Learning and Inferring Movement with Deep Generative Model—0
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models—0
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding—0
Learning-Based Synthesis of Safety Controllers—0
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified