SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 920 papers

TitleStatusHype
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
Ark: An Open-source Python-based Framework for Robot Learning—0
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning—0
Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems—0
GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments—0
FocalAD: Local Motion Planning for End-to-End Autonomous Driving—0
Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving—0
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement LearningCode1
Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs—0
A distributed motion planning approach to cooperative underwater acoustic source tracking and pursuit—0
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree searchCode0
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks—0
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System—0
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning—0
Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions—0
Grounded Vision-Language Interpreter for Integrated Task and Motion Planning—0
UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models—0
Captivity-Escape Games as a Means for Safety in Online Motion Generation—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation—0
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control—0
RefAV: Towards Planning-Centric Scenario MiningCode1
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons—0
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving ScenariosCode0
Generative AI for Autonomous Driving: A Review—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified