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Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces

https://doi.org/10.15607/rss.2016.xii.046

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What this work says

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

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Some results on Tchebycheffian spline functions

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Derivative reproducing properties for kernel methods in learning theory

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Theory of reproducing kernels

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A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems

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Understanding the geometry of workspace obstacles in Motion Optimization

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Elastic bands: connecting path planning and control

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CHOMP: Gradient optimization techniques for efficient motion planning

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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

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Familiarization to robot motion

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Natural Gradient Works Efficiently in Learning

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LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

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Collision-free and smooth trajectory computation in cluttered environments

inferredcites →https://doi.org/10.1177/0278364913488805openalex-snapshot

CHOMP: Covariant Hamiltonian optimization for motion planning

inferredcites →https://doi.org/10.1184/r1/6555269openalex-snapshot

Kernel Conjugate Gradient for Fast Kernel Machines

inferredcites →https://doi.org/10.1214/09-aos772openalex-snapshot

A reproducing kernel Hilbert space approach to functional linear regression

inferredcites →https://doi.org/10.15607/rss.2012.viii.007openalex-snapshot

Contextual Sequence Prediction with Application to Control Library Optimization

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Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization

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ITOMP: Incremental Trajectory Optimization for Real-Time Replanning in Dynamic Environments

inferredcites →https://doi.org/10.48550/arxiv.1208.2523openalex-snapshot

Path Integral Control by Reproducing Kernel Hilbert Space Embedding

inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot

Learning with Kernels

What points at this work

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

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Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods

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Lane-change social behavior generator for autonomous driving car by non-parametric regression in Reproducing Kernel Hilbert Space

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