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LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information

https://doi.org/10.15607/rss.2010.vi.017

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What this work says

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

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Chi-square Distribution

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Bounded Uncertainty Roadmaps for Path Planning

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The Belief Roadmap: Efficient Planning in Linear POMDPs by Factoring the Covariance

inferredcites →https://doi.org/10.1016/0004-3702(94)00079-gopenalex-snapshot

Motion planning with uncertainty: a landmark approach

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Planning and acting in partially observable stochastic domains

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Probabilistic roadmaps for path planning in high-dimensional configuration spaces

inferredcites →https://doi.org/10.1109/icarcv.2008.4795830openalex-snapshot

A framework for planning motions in stochastic maps

inferredcites →https://doi.org/10.1109/iros.2005.1545306openalex-snapshot

Prioritized motion planning for multiple robots

inferredcites →https://doi.org/10.1109/iros.2006.282101openalex-snapshot

Safe Path Planning in an Uncertain-Configuration Space using RRT

inferredcites →https://doi.org/10.1109/iros.2009.5354168openalex-snapshot

Collision-probability constrained PRM for a manipulator with base pose uncertainty

inferredcites →https://doi.org/10.1109/iros.2009.5354418openalex-snapshot

Stochastic mobility-based path planning in uncertain environments

inferredcites →https://doi.org/10.1109/iros.2009.5354742openalex-snapshot

Using linear landmarks for path planning with uncertainty in outdoor environments

inferredcites →https://doi.org/10.1109/robot.1995.525463openalex-snapshot

A numerical technique for planning motion strategies of a mobile robot in presence of uncertainty

inferredcites →https://doi.org/10.1109/robot.1998.676244openalex-snapshot

Path planning with uncertainty for car-like robots

inferredcites →https://doi.org/10.1109/robot.1999.769927openalex-snapshot

Coastal navigation-mobile robot navigation with uncertainty in dynamic environments

inferredcites →https://doi.org/10.1109/robot.2006.1641882openalex-snapshot

Adapting probabilistic roadmaps to handle uncertain maps

inferredcites →https://doi.org/10.1109/robot.2007.363555openalex-snapshot

Particle RRT for Path Planning with Uncertainty

inferredcites →https://doi.org/10.1109/robot.2007.363984openalex-snapshot

Sampling-Based Motion Planning With Sensing Uncertainty

inferredcites →https://doi.org/10.1109/robot.2009.5152607openalex-snapshot

icLQG: Combining local and global optimization for control in information space

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Probabilistic robotics

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Randomized Kinodynamic Planning

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An Objective-Based Framework for Motion Planning under Sensing and Control Uncertainties

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Collision Detection in Interactive 3D Environments

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The Complexity of Markov Decision Processes

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Relación entre los mecanismos de difusión atómica y las propiedades ópticas en la sinterización por Spark Plasma Sintering (SPS) de la alúmina

inferredcites →https://doi.org/10.15607/rss.2007.iii.030openalex-snapshot

The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty

inferredcites →https://doi.org/10.15607/rss.2008.iv.009openalex-snapshot

SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

inferredcites →https://doi.org/10.15607/rss.2009.v.003openalex-snapshot

LQR-trees: Feedback motion planning on sparse randomized trees

inferredcites →https://doi.org/10.2514/6.2008-7166openalex-snapshot

Motion Planning in Complex Environments Using Closed-loop Prediction

inferredcites →https://doi.org/10.7551/mitpress/8344.003.0013openalex-snapshot

SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

inferredcites →https://doi.org/10.7551/mitpress/8727.003.0004openalex-snapshot

LQR-Trees: Feedback Motion Planning on Sparse Randomized Trees

What points at this work

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

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Learned Stochastic Mobility Prediction for Planning with Control Uncertainty on Unstructured Terrain

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Linearization in Motion Planning under Uncertainty

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Beyond Geometric Path Planning: Learning Context-Driven Trajectory Preferences via Sub-optimal Feedback

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Randomized Belief-Space Replanning in Partially-Observable Continuous Spaces

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LQG-Based Planning, Sensing, and Control of Steerable Needles

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Global motion planning under uncertain motion, sensing, and environment map

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Push-manipulation of complex passive mobile objects using experimentally acquired motion models

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Closed-loop safety assessment of uncertain roadmaps

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View/state planning for three-dimensional object reconstruction under uncertainty

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A Case-Based Approach to Mobile Push-Manipulation

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Effective landmark placement for accurate and reliable mobile robot navigation

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Path planning for carrier aircraft based on geometry and dijkstra's algorithm

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Rapidly-exploring Random Belief Trees for motion planning under uncertainty

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Non-Gaussian belief space planning: Correctness and complexity

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Planning how to learn

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GPU-based motion planning under uncertainties using POMDP

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PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback

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Unobservable Monte Carlo planning for nonprehensile rearrangement tasks

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Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty

inferred← citeshttps://doi.org/10.1109/iros.2011.6094802openalex-snapshot

EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles

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Motion planning for concentric tube robots using mechanics-based models

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A cost-aware path planning algorithm for mobile robots

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Robust landmark selection for mobile robot navigation

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Robust trajectory selection for rearrangement planning as a multi-armed bandit problem

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A Closed-Form Uncertainty Propagation in Non-Rigid Structure From Motion

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Learning preferences for manipulation tasks from online coactive feedback

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Massively parallel motion planning algorithms under uncertainty using POMDP

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Non-linearity Measure for POMDP-based Motion Planning

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Belief space planning assuming maximum likelihood observations

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Global Motion Planning under Uncertain Motion, Sensing, and Environment Map

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Motion Planning Under Uncertainty In Highly Deformable Environments

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On Provably Safe Obstacle Avoidance for Autonomous Robotic Ground Vehicles

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Efficient Approximate Value Iteration for Continuous Gaussian POMDPs

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Belief Space Planning For Linear, Gaussian Systems In Uncertain Environments

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Motion Planning in Non-Gaussian Belief Spaces (M3P): The Case of a Kidnapped Robot

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Model Predictive Path Integral Control using Covariance Variable Importance Sampling

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Motion Planning for Global Localization in Non-Gaussian Belief Spaces

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