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The Gaussian sampling strategy for probabilistic roadmap planners

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-4022-9openalex-snapshot
Robot Motion Planning
inferredcites →https://doi.org/10.1016/s0921-8890(97)00033-xopenalex-snapshot
Coordinated path planning for multiple robots
inferredcites →https://doi.org/10.1109/70.508439openalex-snapshot
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
inferredcites →https://doi.org/10.1109/robot.1994.350966openalex-snapshot
Randomized preprocessing of configuration for fast path planning
inferredcites →https://doi.org/10.1109/robot.1996.503582openalex-snapshot
A randomized roadmap method for path and manipulation planning
inferredcites →https://doi.org/10.1109/robot.1996.509171openalex-snapshot
Analysis of probabilistic roadmaps for path planning
inferredcites →https://doi.org/10.1109/robot.1998.676243openalex-snapshot
Planning paths for a flexible surface patch
inferredcites →https://doi.org/10.1109/robot.1998.677043openalex-snapshot
Choosing good distance metrics and local planners for probabilistic roadmap methods
inferredcites →https://doi.org/10.1177/027836499701600201openalex-snapshot
Motion Planning for Carlike Robots Using a Probabilistic Learning Approach
inferredcites →https://doi.org/10.1177/027836499701600604openalex-snapshot
A Random Sampling Scheme for Path Planning
inferredcites →https://doi.org/10.1177/027836499801700803openalex-snapshot
Multilevel Path Planning for Nonholonomic Robots Using Semiholonomic Subsystems
inferredcites →https://doi.org/10.1201/9781439863886openalex-snapshot
Robotics: The Algorithmic Perspective
inferredcites →https://doi.org/10.1201/9781439863886-18openalex-snapshot
On Finding Narrow Passages with Probabilistic Roadmap Planners
inferredcites →https://doi.org/10.12681/eadd/4455openalex-snapshot
RANDOM NETWORKS IN CONFIGURATION SPACE FOR FAST PATH PLANNING

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Rapidly-Exploring Random Tree Based on Particle Attraction for Complicated Environments
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A New Application of Discrete Morse Theory to Optimizing Safe Motion Planning Paths
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Efficient Collision Checking in Sampling-Based Motion Planning
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RDT+: A parameter-free algorithm for exact motion planning
inferred← citeshttps://doi.org/10.1109/icra.2011.5979804openalex-snapshot
Using path-length localized RRT-like search to solve challenging planning problems
inferred← citeshttps://doi.org/10.1109/icra.2011.5980507openalex-snapshot
Spectral properties of expansive configuration spaces: An empirical study
inferred← citeshttps://doi.org/10.1109/icra.2012.6224928openalex-snapshot
SR-RRT: Selective retraction-based RRT planner
inferred← citeshttps://doi.org/10.1109/icra.2012.6225212openalex-snapshot
The Toggle Local Planner for sampling-based motion planning
inferred← citeshttps://doi.org/10.1109/icra.2012.6225297openalex-snapshot
Probabilistic path planning for multiple robots with subdimensional expansion
inferred← citeshttps://doi.org/10.1109/icra.2012.6225368openalex-snapshot
An efficient mobile robot path planning using hierarchical roadmap representation in indoor environment
inferred← citeshttps://doi.org/10.1109/icra.2013.6630904openalex-snapshot
Lazy Toggle PRM: A single-query approach to motion planning
inferred← citeshttps://doi.org/10.1109/icra.2013.6630908openalex-snapshot
Resolution Independent Density Estimation for motion planning in high-dimensional spaces
inferred← citeshttps://doi.org/10.1109/icra.2014.6907211openalex-snapshot
Cloud RRT*: Sampling Cloud based RRT*
inferred← citeshttps://doi.org/10.1109/icra.2014.6907540openalex-snapshot
Spark PRM: Using RRTs within PRMs to efficiently explore narrow passages
inferred← citeshttps://doi.org/10.1109/icra.2014.6907711openalex-snapshot
UMAPRM: Uniformly sampling the medial axis
inferred← citeshttps://doi.org/10.1109/icra.2015.7139609openalex-snapshot
A predictive model for narrow passage path planner by using Support Vector Machine in changing environments
inferred← citeshttps://doi.org/10.1109/icra.2016.7487116openalex-snapshot
Learning high-dimensional Mixture Models for fast collision detection in Rapidly-Exploring Random Trees
inferred← citeshttps://doi.org/10.1109/icra.2016.7487125openalex-snapshot
Narrow passage sampling in the observation of robotic assembly tasks
inferred← citeshttps://doi.org/10.1109/icra.2017.7989431openalex-snapshot
Adaptive motion planning with high-dimensional mixture models
inferred← citeshttps://doi.org/10.1109/icra.2019.8793942openalex-snapshot
Visual Repetition Sampling for Robot Manipulation Planning
inferred← citeshttps://doi.org/10.1109/icra.2019.8794073openalex-snapshot
Air-to-Ground Surveillance Using Predictive Pursuit
inferred← citeshttps://doi.org/10.1109/icra.2019.8794317openalex-snapshot
Using Local Experiences for Global Motion Planning
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197064openalex-snapshot
Uncertainty Measured Markov Decision Process in Dynamic Environments
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197106openalex-snapshot
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197195openalex-snapshot
Online Planning for Quadrotor Teams in 3-D Workspaces via Reachability Analysis On Invariant Geometric Trees
inferred← citeshttps://doi.org/10.1109/icra46639.2022.9811656openalex-snapshot
Stein Variational Probabilistic Roadmaps
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Learning to Retrieve Relevant Experiences for Motion Planning
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Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561104openalex-snapshot
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
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A Fast and Approximate Medial Axis Sampling Technique
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161028openalex-snapshot
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161339openalex-snapshot
Sample-Driven Connectivity Learning for Motion Planning in Narrow Passages
inferred← citeshttps://doi.org/10.1109/icrae64368.2024.10851625openalex-snapshot
Sampling-with-Path based Planning: Easing Non-Holonomic Mobile Manipulator Motion Planning
inferred← citeshttps://doi.org/10.1109/icsmc.2009.5346922openalex-snapshot
Motion planning for Human-Robot Interaction based on stereo vision and SIFT
inferred← citeshttps://doi.org/10.1109/idap.2018.8620808openalex-snapshot
Probabilistic Roadmap and Artificial Bee Colony Algorithm Cooperation For Path Planning
inferred← citeshttps://doi.org/10.1109/iraniancee.2014.6999737openalex-snapshot
A sampling algorithm for reducing the number of collision checking in probabilistic roadmaps
inferred← citeshttps://doi.org/10.1109/irc.2017.74openalex-snapshot
Sliding Local Planners for Sampling-Based Path Planning
inferred← citeshttps://doi.org/10.1109/irce62232.2024.10739832openalex-snapshot
Heuristic Sampling for Robot Motion Planning via Conditional Generative Adversarial Networks in Narrow Spaces
inferred← citeshttps://doi.org/10.1109/irds.2002.1041611openalex-snapshot
Non-holonomic path planning using a quasi-random PRM approach
inferred← citeshttps://doi.org/10.1109/irds.2002.1041613openalex-snapshot
Capture of homotopy classes with probabilistic road map
inferred← citeshttps://doi.org/10.1109/irds.2002.1041614openalex-snapshot
Constructing probabilistic roadmaps with powerful local planning and path optimization
inferred← citeshttps://doi.org/10.1109/iros.2003.1250658openalex-snapshot
Probabilistic harmonic-function-based method for robot motion planning
inferred← citeshttps://doi.org/10.1109/iros.2003.1250700openalex-snapshot
Exploiting group symmetries to improve precision in kinodynamic and nonholonomic planning
inferred← citeshttps://doi.org/10.1109/iros.2004.1389627openalex-snapshot
Workspace importance sampling for probabilistic roadmap planning
inferred← citeshttps://doi.org/10.1109/iros.2004.1389833openalex-snapshot
PDRRTs: integrating graph-based and cell-based planning
inferred← citeshttps://doi.org/10.1109/iros.2005.1545255openalex-snapshot
Efficient prioritized inverse kinematic solutions for redundant manipulators
inferred← citeshttps://doi.org/10.1109/iros.2005.1545606openalex-snapshot
Finding narrow passages with probabilistic roadmaps: the small step retraction method
inferred← citeshttps://doi.org/10.1109/iros.2005.1545607openalex-snapshot
Adaptive tuning of the sampling domain for dynamic-domain RRTs
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A Path Planner in Changing Environments by Using W-C Nodes Mapping Coupled with Lazy Edges Evaluation
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Safe Path Planning in an Uncertain-Configuration Space using RRT
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A hybrid approach for complete motion planning
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A dynamic bridge builder to identify difficult regions for path planning in changing environments
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