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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 501–550 of 920 papers

TitleStatusHype
Safe Reinforcement Learning Using Black-Box Reachability AnalysisCode0
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning—0
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory ResetsCode1
Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI—0
T* -- Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems—0
A Cooperative Optimal Control Framework for Connected and Automated Vehicles in Mixed Traffic Using Social Value Orientation—0
Closed-Form Minkowski Sum Approximations for Efficient Optimization-Based Collision AvoidanceCode0
A Barrier-Certified Optimal Coordination Framework for Connected and Automated Vehicles—0
Risk-Aware Off-Road Navigation via a Learned Speed Distribution MapCode2
Benchmarking Visual Localization for Autonomous NavigationCode1
Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking—0
Lazy Rearrangement Planning in Confined SpacesCode1
Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space—0
Representation, learning, and planning algorithms for geometric task and motion planning—0
Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality—0
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems—0
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data—0
Intention Aware Robot Crowd Navigation with Attention-Based Interaction GraphCode1
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning—0
L4KDE: Learning for KinoDynamic Tree Expansion—0
Affordance Learning from Play for Sample-Efficient Policy LearningCode1
Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers—0
Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications—0
ReorientBot: Learning Object Reorientation for Specific-Posed PlacementCode1
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
RNGDet: Road Network Graph Detection by Transformer in Aerial Images—0
Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control ApproachCode1
SafePicking: Learning Safe Object Extraction via Object-Level MappingCode1
From Motion to Muscle—0
A Cooperation-Aware Lane Change Method for Autonomous Vehicles—0
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & ControlCode1
Economic MPC-based planning for marine vehicles: Tuning safety and energy efficiency—0
Autonomous Aerial Robot for High-Speed Search and Intercept Applications—0
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations—0
Guided Imitation of Task and Motion Planning—0
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments—0
Learning to Search in Task and Motion Planning with Streams—0
The Faulty GPS Problem: Shortest Time Paths in Networks with Unreliable Directions—0
Neural Motion Planning for Autonomous Parking—0
Full-Body Visual Self-Modeling of Robot MorphologiesCode1
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot ManipulationCode1
Learning Perceptual Concepts by Bootstrapping from Human Queries—0
Learning suction graspability considering grasp quality and robot reachability for bin-picking—0
idSTLPy: A Python Toolbox for Active Perception and Control—0
Panoptic 3D Scene Reconstruction From a Single RGB ImageCode1
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn KernelsCode1
JEDAI: A System for Skill-Aligned Explainable Robot PlanningCode1
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-DriverCollision0.35—Unverified