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
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning—0
A Survey on Knowledge Graph-based Methods for Automated Driving—0
Multimodal LLM Guided Exploration and Active Mapping using Fisher Information—0
Correct-by-synthesis reinforcement learning with temporal logic constraints—0
CoPAL: Corrective Planning of Robot Actions with Large Language Models—0
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective—0
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation—0
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot—0
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems—0
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches—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
Hierarchical Policy Search via Return-Weighted Density Estimation—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
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified