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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 251–300 of 920 papers

TitleStatusHype
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Real-World Robot Applications of Foundation Models: A Review—0
Safe Human-UAS Collaboration Abstraction—0
Risk-Aware MPC for Stochastic Systems with Runtime Temporal LogicsCode0
A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments—0
Scalable Multi-modal Model Predictive Control via Duality-based Interaction PredictionsCode1
Distance and Collision Probability Estimation from Gaussian Surface Models—0
Design and Implementation of Hardware Accelerators for Neural Processing Applications—0
VLP: Vision Language Planning for Autonomous Driving—0
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System—0
Disentangled Neural Relational Inference for Interpretable Motion Prediction—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
READ: Retrieval-Enhanced Asymmetric Diffusion for Motion PlanningCode1
Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints—0
InsActor: Instruction-driven Physics-based Characters—0
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach—0
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection—0
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
Optimal Motion Planning using Finite Fourier Series in a Learning-based Collision Field—0
The Parameterized Complexity of Coordinated Motion Planning—0
Minimum-Time Trajectory Optimization With Data-Based Models: A Linear Programming Approach—0
Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning—0
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification—0
Automated Lane Merging via Game Theory and Branch Model Predictive ControlCode1
Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles—0
Teaching Robots to Build Simulations of Themselves—0
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—0
A Language Agent for Autonomous DrivingCode0
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop ExperimentsCode1
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors—0
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation—0
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation—0
Constant-time Motion Planning with Anytime Refinement for Manipulation—0
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning—0
Large Trajectory Models are Scalable Motion Predictors and PlannersCode2
Interactive Joint Planning for Autonomous Vehicles—0
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
Neural Potential Field for Obstacle-Aware Local Motion PlanningCode2
Human-in-the-Loop Task and Motion Planning for Imitation Learning—0
Creative Robot Tool Use with Large Language Models—0
Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework—0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning—0
Neural Packing: from Visual Sensing to Reinforcement Learning—0
CoPAL: Corrective Planning of Robot Actions with Large Language Models—0
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions—0
Graph learning in robotics: a survey—0
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified