SOTAVerified

Motion Planning

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

Papers

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Showing 451–500 of 920 papers

TitleStatusHype
Path Planning based on 2D Object Bounding-box—0
Path Planning Followed by Kinodynamic Smoothing for Multirotor Aerial Vehicles (MAVs)—0
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning—0
PDE-based multi-agent formation control using flatness and backstepping: analysis, design and robot experiments—0
Pedestrian Prediction by Planning using Deep Neural Networks—0
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving—0
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing—0
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping—0
Physics-informed Neural Motion Planning on Constraint Manifolds—0
Piecewise linear regressions for approximating distance metrics—0
Plan Explicability and Predictability for Robot Task Planning—0
Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal-Logic Tasks—0
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation—0
Planning Robot Motion using Deep Visual Prediction—0
Planning under non-rational perception of uncertain spatial costs—0
Planning with Adaptive World Models for Autonomous Driving—0
Planning with affordances: Integrating learned affordance models and symbolic planning—0
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants—0
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks—0
Policy-Guided Lazy Search with Feedback for Task and Motion Planning—0
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments—0
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