| ปี พ.ศ. 2557 |
| 1 |
Learning domain abstractions for long lived robots |
| ปี พ.ศ. 2556 |
| 2 |
On probabilistic inference approaches to stochastic optimal control |
| ปี พ.ศ. 2555 |
| 3 |
Motion planning and reactive control on learnt skill manifolds |
| 4 |
Control of objects with a high degree of freedom |
| 5 |
Closed-loop prosthetic hand : understanding sensorimotor and multisensory integration under uncertainty. |
| ปี พ.ศ. 2554 |
| 6 |
Stochastic optimal control with learned dynamics models |
| 7 |
Nonlinear Dimensionality Reduction for Motion Synthesis and Control |
| 8 |
Information theoretic approach to tactile encoding and discrimination |
| ปี พ.ศ. 2553 |
| 9 |
Using Dimensionality Reduction to Exploit Constraints in Reinforcement Learning |
| 10 |
Optimal Feedback Control for Anthropomorphic Manipulators |
| 11 |
Efficient Learning and Feature Selection in High Dimensional Regression |
| 12 |
Active Estimation of Object Dynamics Parameters with Tactile Sensors |
| 13 |
Learning Nullspace Policies |
| 14 |
Methods for Learning Control Policies from Variable Constraint Demonstrations |
| 15 |
Active sequential learning with tactile feedback |
| 16 |
Adaptive Optimal Feedback Control with Learned Internal Dynamics Models |
| 17 |
Bayesian locally weighted online learning |
| 18 |
Incremental semi-supervised learning for anomalous trajectory detection |
| 19 |
An Approximate Inference Approach to Temporal Optimization in Optimal Control |
| 20 |
Transferring Impedance Control Strategies Between Heterogeneous Systems via Apprenticeship Learning |
| 21 |
A Computational Model of Limb Impedance Control Based on Principles of Internal Model Uncertainty |
| ปี พ.ศ. 2552 |
| 22 |
Active Filtering for Robot Tactile Learning |
| 23 |
Latent Spaces for Dynamic Movement Primitives |
| 24 |
Information about Complex Fingertip Parameters in Individual Human Tactile Afferent Neurons |
| 25 |
A Novel Method for Learning Policies from Constrained Motion |
| 26 |
Robust Constraint-consistent Learning |
| 27 |
A Closed Loop Prosthetic Hand as a Model Sensorimotor Circuit |
| 28 |
Realizing Dexterous Manipulation with Structured Manifolds using UKR with Structural Hints |
| 29 |
Efficient Online classification using an Ensemble of Bayesian Linear Logistic Regressors |
| 30 |
Towards Semi-supervised Manifold Learning: UKR with Structural Hints |
| 31 |
Planning and Moving in Dynamic Environments: A statistical machine learning approach |
| 32 |
Does Dimensionality Reduction improve the Quality of Motion Interpolation? |
| 33 |
Multisensory Oddity Detection as Bayesian Inference |
| 34 |
A Theory of Impedance Control based on Internal Model Uncertainty |
| 35 |
Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models |
| 36 |
Local Dimensionality Reduction for Non-Parametric Regression |
| 37 |
A Novel Method for Learning Policies from Variable Constraint Data |
| 38 |
Learning control policies from constrained motion |
| 39 |
Computational models of motor adaptation under multiple classes of sensorimotor disturbance |
| ปี พ.ศ. 2551 |
| 40 |
Bayesian Multisensory Perception |
| 41 |
Learning Dynamics for Robot Control under Varying Contexts |
| 42 |
Unifying the Sensory and Motor Components of Sensorimotor Adaptation |
| 43 |
Learning Potential-based Policies from Constrained Motion |
| 44 |
Interactions between sensory and motor components of adaptation predicted by a Bayesian model |
| 45 |
Spatiotemporal distribution of tactile information across the human fingertip |
| 46 |
Bayesian Kernel Shaping for Learning Control |
| 47 |
Structure Inference for Bayesian Multisensory Scene Understanding |
| 48 |
Multi-task Gaussian Process Learning of Robot Inverse Dynamics |
| 49 |
A Library for Locally Weighted Projection Regression |
| 50 |
Adaptive Optimal Control for Redundantly Actuated Arms |
| 51 |
Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies |
| 52 |
A Bayesian Model of Multimodal Visuo-motor Adaptation |
| 53 |
A Bayesian Approach to Empirical Local Linearization For Robotics |
| 54 |
Optimal control with adaptive internal dynamics models |
| 55 |
Information about present and past stimulus features in human tactile afferents |
| 56 |
Behaviour Generation in Humanoids by Learning Potential-based Policies from Constrained Motion |
| 57 |
Geodesic Gaussian kernels for value function approximation |
| ปี พ.ศ. 2550 |
| 58 |
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts |
| 59 |
Linear and Nonlinear Generative Probabilistic Class Models for Shape Contours |
| 60 |
Reconstructing Null-space Policies Subject to Dynamic Task Constraints in Redundant Manipulators |
| 61 |
Robustness of VOR and OKR adaptation under kinematics and dynamics transformations |
| 62 |
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control |
| ปี พ.ศ. 2549 |
| 63 |
Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model |
| 64 |
Learning Multiple Models of Non-Linear Dynamics for Control under Varying Contexts |
| 65 |
Learning Utility Surfaces for Movement Selection |
| 66 |
Part-based Probabilistic Point Matching using Equivalence Constraints |
| 67 |
A Probabilistic Approach to Robust Shape Matching and Part Decomposition |
| ปี พ.ศ. 2548 |
| 68 |
2D Shape Classification and Retrieval |
| 69 |
Incremental Online Learning in High Dimensions |
| 70 |
Learning Discontinuities with Product-of-Sigmoids for Switching between Local Models |
| 71 |
LWPR: A Scalable Method for Incremental Online Learning in High Dimensions |
| ปี พ.ศ. 2547 |
| 72 |
The Bayesian Backfitting Relevance Vector Machine |
| 73 |
Reinforcement Learning for Humanoid Robots - Policy Gradients and Beyond |
| ปี พ.ศ. 2546 |
| 74 |
Scaling Reinforcement Learning Paradigms for Motor Control |
