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Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 920 papers

TitleStatusHype
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable EnvironmentsCode0
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty—0
Topological Guided Actor-Critic Modular Learning of Continuous Systems with Temporal Objectives—0
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving—0
Sampling-based Reactive Synthesis for Nondeterministic Hybrid Systems—0
Lidar based 3D Tracking and State Estimation of Dynamic Objects—0
Synthesis of Opacity-Enforcing Winning Strategies Against Colluded Opponent—0
A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation—0
Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments—0
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—0
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
Dynamic Object Removal for Effective Slam—0
Improving Human-Robot Collaboration via Computational Design—0
A Survey of Federated Learning for Connected and Automated Vehicles—0
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives—0
Efficient Learning of High Level Plans from Play—0
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins—0
Importance Filtering with Risk Models for Complex Driving Situations—0
Discovering Multiple Algorithm Configurations—0
Direct Robot Configuration Space Construction using Convolutional Encoder-DecodersCode0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space—0
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments—0
Predicting Motion Plans for Articulating Everyday Objects—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified