SOTAVerified

Motion Planning

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 726–750 of 920 papers

TitleStatusHype
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles—0
Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic ApplicationsCode0
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous DrivingCode0
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype—0
Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving: Extended Version—0
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments—0
Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)—0
T^-Lite: A Fast Time-Risk Optimal Motion Planning Algorithm for Multi-Speed Autonomous Vehicles—0
Designing inverse dynamic controller with integral action for motion planning of surgical robot in the presence of bounded disturbances—0
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations—0
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction—0
DSDNet: Deep Structured self-Driving Network—0
Neural Manipulation Planning on Constraint Manifolds—0
Near-Optimal Reactive Synthesis Incorporating Runtime Information—0
Learning the Solution Manifold in Optimization and Its Application in Motion Planning—0
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
Predicting Sample Collision with Neural Networks—0
Confidence-rich grid mapping—0
One Thousand and One Hours: Self-driving Motion Prediction DatasetCode0
Graph Neural Networks for Motion Planning—0
Learning Navigation Costs from Demonstration with Semantic Observations—0
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image—0
Learning Navigation Costs from Demonstrations with Semantic Observations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified