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Everything about Probabilistic roadmap
Probabilistic motion planning algorithm
The probabilistic roadmap planner is a motion planning algorithm in robotics, which solves the problem of determining a path between a starting configuration of the robot and a goal configuration while avoiding collisions. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Probabilistic roadmapA 5-minute orientation
- Skim a recent paper: A modified probabilistic roadmap algorithm for efficient mobile robot path planningInfluential work since 2022
- Pick up a classic book: Treaty Occupationay ToxicologyThe most-reprinted book on the subject
- Read the landmark paper: Probabilistic roadmaps for path planning in high-dimensional configuration spacesCited 5,202 times
- Go sideways: Stochastic roadmap simulationA closely related topic
- Go sideways: Motion planningA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
No outline available.
🏆 Landmark papers (most cited)
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
On the Probabilistic Foundations of Probabilistic Roadmap Planning
Autonomous UAV Exploration of Dynamic Environments Via Incremental Sampling and Probabilistic Roadmap
Path planning for manipulators based on an improved probabilistic roadmap method
Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method
Narrow passage sampling for probabilistic roadmap planning
HPPRM: Hybrid Potential Based Probabilistic Roadmap Algorithm for Improved Dynamic Path Planning of Mobile Robots
Asymptotically Near-Optimal Planning With Probabilistic Roadmap Spanners
🆕 Influential since 2022
A modified probabilistic roadmap algorithm for efficient mobile robot path planning
An Improved Probabilistic Roadmap Planning Method for Safe Indoor Flights of Unmanned Aerial Vehicles
An Optimized Probabilistic Roadmap Algorithm for Path Planning of Mobile Robots in Complex Environments with Narrow Channels
Motion Planning for Closed-Chain Constraints Based on Probabilistic Roadmap With Improved Connectivity
Ship route planning in the pirate area via hybrid probabilistic roadmap algorithm within the context of the Maritime Silk Road
📚 Books worth reading
Treaty Occupationay ToxicologySuelen Queiroz · 2010
Virtual crowdsNuria Pelechano · 2008
Innovations in power systems reliabilityGeorge J. Anders, Alfredo Vaccaro · 2011- 📕Probabilistic roadmaps for path planning in high-dimensional configuration spaces · 1994
Service-Oriented Computing - ICSOC 2012 WorkshopsAditya Ghose · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Stochastic roadmap simulation For robot control, Stochastic roadmap simulation is inspired by probabilistic roadmap methods (PRM) developed for robot motion planning. The main idea…
- Motion planning Motion planning, also path planning (also known as the navigation problem or the piano mover's problem) is a computational problem to find a sequence of…
- Mark Overmars Markus Hendrik "Mark" Overmars (Dutch pronunciation: [ˈmɑrkʏs ˈɦɛndrɪk ˈmɑr(ə)k ˈoːvərmɑrs]; born 29 September 1958) is a Dutch computer scientist and…
- Jean-Claude Latombe Jean-Claude Latombe (born May 14, 1947) is a French-American roboticist and the Kumagai Professor Emeritus in the School of Engineering at Stanford University…
- Real-time path planning Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This…
- Rapidly exploring random tree A rapidly exploring random tree (RRT) is an algorithm designed to efficiently search nonconvex, high-dimensional spaces by randomly building a space-filling…
- Lydia Kavraki Lydia E. Kavraki (Greek: Λύδια Καβράκη) is a Greek-American computer scientist, an honorary doctorate of the University of Crete and the Noah Harding Professor…
- Any-angle path planning Any-angle path planning algorithms are pathfinding algorithms that search for a Euclidean shortest path between two points on a grid map while allowing…