SOTAVerified

Motion Planning

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

Papers

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Showing 351–400 of 920 papers

TitleStatusHype
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation—0
idSTLPy: A Python Toolbox for Active Perception and Control—0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
Creative Robot Tool Use with Large Language Models—0
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning—0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning—0
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments—0
Human-in-the-Loop Task and Motion Planning for Imitation Learning—0
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
How To Not Drive: Learning Driving Constraints from Demonstration—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
Correct-by-synthesis reinforcement learning with temporal logic constraints—0
Closed-loop Multi-step Planning—0
Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems—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
CoPAL: Corrective Planning of Robot Actions with Large Language Models—0
Imitating Task and Motion Planning with Visuomotor Transformers—0
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning—0
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach—0
IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models—0
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting—0
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Higher-Order Function Networks for Learning Composable 3D Object Representations—0
Improving Human-Robot Collaboration via Computational Design—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
Incremental Sampling-based Motion Planners Using Policy Iteration Methods—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
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
InsActor: Instruction-driven Physics-based Characters—0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping—0
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches—0
Hierarchical Policy Search via Return-Weighted Density Estimation—0
Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System—0
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks—0
Deep-Learning-Aided Path Planning and Map Construction for Expediting Indoor Mapping—0
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping—0
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving—0
Control Barrier Functions for Prescribed-time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified