SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 676–700 of 920 papers

TitleStatusHype
Trajectory Manifold Optimization for Fast and Adaptive Kinodynamic Motion Planning—0
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning—0
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty—0
Trajectory Planning Using Tire Thermodynamics for Automated Drifting—0
Trajectory Planning with Signal Temporal Logic Costs using Deterministic Path Integral Optimization—0
Transfer Reinforcement Learning under Unobserved Contextual Information—0
Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making—0
Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics—0
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments—0
Traversing Environments Using Possibility Graphs for Humanoid Robots—0
T^-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles—0
T* -- Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems—0
Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles—0
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations—0
Understanding Physical Effects for Effective Tool-use—0
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