Hilbert space

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Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization

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Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent

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Movement primitives via optimization

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A Kernel Adaptive Algorithm for Quaternion-Valued Inputs

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H-SLAM: Rao-Blackwellized Particle Filter SLAM Using Hilbert Maps

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Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space

Ching-An Cheng, Han‐Pang Huang, Huan-Kun Hsu, Wei-Zh Lai, Chih-Chun Cheng

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Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation

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Appearance-Based Loop Closure Detection via Locality-Driven Accurate Motion Field Learning

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Space-filling curves for numerical approximation and visualization of solutions to systems of nonlinear inequalities with applications in robotics

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A Control Theory for Cartesian Flexible Robot Arms

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Initialization matters: Orthogonal Predictive State Recurrent Neural Networks

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Global, Unified Representation of Heterogenous Robot Dynamics Using Composition Operators: A Koopman Direct Encoding Method

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Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems

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Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation

Philippe Morere, Román Marchant, Fábio Ramos

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Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments

Ransalu Senanayake, Lionel Ott, Simon O’Callaghan, Fábio Ramos

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Learning Policies for Markov Decision Processes From Data

Manjesh K. Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis

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Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces

Zita Marinho, Byron Boots, Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S Srinivasa

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Variational Hilbert regression for terrain modeling and trajectory optimization

Vitor Guizilini, Fábio Ramos

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