SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 920 papers

TitleStatusHype
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
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
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
A Barrier-Certified Optimal Coordination Framework for Connected and Automated Vehicles—0
A review of motion planning algorithms for intelligent robotics—0
Control Barrier Functions for Prescribed-time Reach-Avoid-Stay Tasks using Spatiotemporal Tubes—0
A Survey of Knowledge Representation in Service Robotics—0
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning—0
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators—0
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments—0
Funnel Libraries for Real-Time Robust Feedback Motion Planning—0
Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks—0
Constrained Motion Planning Networks X—0
A Survey of Federated Learning for Connected and Automated Vehicles—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified