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Motion Planning

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

Papers

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Showing 401–450 of 920 papers

TitleStatusHype
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach—0
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection—0
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
Uncertainties in Robust Planning and Control of Autonomous Tractor-Trailer Vehicles—0
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles—0
Teaching Robots to Build Simulations of Themselves—0
A Language Agent for Autonomous DrivingCode0
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
Interactive Joint Planning for Autonomous Vehicles—0
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
Human-in-the-Loop Task and Motion Planning for Imitation Learning—0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning—0
Creative Robot Tool Use with Large Language Models—0
Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework—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
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent—0
Model Predictive Planning: Trajectory Planning in Obstruction-Dense Environments for Low-Agility Aircraft—0
Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic UncertaintyCode0
Multi-Agent Reach-Avoid Games: Two Attackers Versus One Defender and Mixed Integer ProgrammingCode0
Multi-Agent Control Synthesis from Global Temporal Logic Tasks with Synchronous Satisfaction Requirements—0
Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots—0
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion PlanningCode0
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks—0
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector FieldCode0
Conformal Temporal Logic Planning using Large Language Models—0
DEUX: Active Exploration for Learning Unsupervised Depth Perception—0
Guaranteed approximations of arbitrarily quantified reachability problems—0
Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure—0
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning—0
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning—0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping—0
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport—0
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion—0
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models—0
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified