SOTAVerified

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
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
Potential Based Diffusion Motion Planning—0
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments—0
Practical Solutions for Machine Learning Safety in Autonomous Vehicles—0
Predicting Motion Plans for Articulating Everyday Objects—0
Predicting Sample Collision with Neural Networks—0
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving—0
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation—0
Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network—0
Predictive and Semantic Layout Estimation for Robotic Applications in Manhattan Worlds—0
Predictive Traffic Rule Compliance using Reinforcement Learning—0
Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers—0
Progressive Smoothing for Motion Planning in Real-Time NMPC—0
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization—0
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments—0
Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Chairs via Robot Imagination—0
qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems—0
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving—0
Quantitative Planning with Action Deception in Concurrent Stochastic Games—0
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data—0
Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications—0
RCAMP: A Resilient Communication-Aware Motion Planner for Mobile Robots with Autonomous Repair of Wireless Connectivity—0
Reactive Human-to-Robot Handovers of Arbitrary Objects—0
Reactive motion planning with probabilistic safety guarantees—0
Real-time Lane detection and Motion Planning in Raspberry Pi and Arduino for an Autonomous Vehicle Prototype—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified