SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 691–700 of 920 papers

TitleStatusHype
Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions—0
UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models—0
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
UniPhys: Unified Planner and Controller with Diffusion for Flexible Physics-Based Character Control—0
Universal Adaptive Control of Nonlinear Systems—0
Uncrewed Vehicles in 6G Networks: A Unifying Treatment of Problems, Formulations, and Tools—0
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning—0
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
Using Local Experiences for Global Motion Planning—0
Using UAVs for vehicle tracking and collision risk assessment at intersections—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified