SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 920 papers

TitleStatusHype
Ark: An Open-source Python-based Framework for Robot Learning—0
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation—0
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation—0
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands—0
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving—0
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
Hierarchical Policy Search via Return-Weighted Density Estimation—0
GAD-Generative Learning for HD Map-Free Autonomous Driving—0
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems—0
Closed-loop Multi-step Planning—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder—0
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning—0
Hypergraph-based Multi-Robot Task and Motion Planning—0
HyRRT-Connect: Bidirectional Motion Planning for Hybrid Dynamical Systems—0
IA Planner: Motion Planning Using Instantaneous Analysis for Autonomous Vehicle in the Dense Dynamic Scenarios on Highways—0
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty—0
Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation—0
Learn and Link: Learning Critical Regions for Efficient Planning—0
A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified