SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 920 papers

TitleStatusHype
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
A Holistic Robust Motion Controller Framework for Autonomous Platooning—0
A Hybrid Evolutionary Approach for Multi Robot Coordinated Planning at Intersections—0
A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation—0
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects—0
A message-passing algorithm for multi-agent trajectory planning—0
A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements—0
A Motion Planning Strategy for the Active Vision-Based Mapping of Ground-Level Structures—0
A Multi-Heuristic Search-based Motion Planning for Automated Parking—0
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios—0
Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
An Anytime Algorithm for Task and Motion MDPs—0
An Automaton Learning Approach to Solving Safety Games over Infinite Graphs—0
An Efficient B-spline-Based Kinodynamic Replanning Framework for Quadrotors—0
An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training—0
An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors—0
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems—0
An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space—0
A novel model-based heuristic for energy optimal motion planning for automated driving—0
Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach—0
Anytime Integrated Task and Motion Policies for Stochastic Environments—0
An Anytime Hierarchical Approach for Stochastic Task and Motion Planning—0
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models—0
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified