SOTAVerified

Motion Planning

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

Papers

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Showing 701–750 of 920 papers

TitleStatusHype
Vandermonde Trajectory Bounds for Linear Companion Systems—0
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes—0
Verifiably Following Complex Robot Instructions with Foundation Models—0
Vi-LAD: Vision-Language Attention Distillation for Socially-Aware Robot Navigation in Dynamic Environments—0
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios—0
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach—0
VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model—0
VLP: Vision Language Planning for Autonomous Driving—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
Watch Less, Feel More: Sim-to-Real RL for Generalizable Articulated Object Manipulation via Motion Adaptation and Impedance Control—0
What data do we need for training an AV motion planner?—0
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving—0
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance—0
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning—0
World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified