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Sethu Vijayakumar
หน่วยงาน Edinburgh Research Archive, United Kingdom
และรู้จักในชื่อของ
- Vijayakumar, Sethu
จำนวนงานวิจัยจำแนกรายปี
บุคคลที่เคยร่วมงานวิจัย
ความเชี่ยวชาญ
ปี
# พ.ศ. จำนวน
1 2557 1
2 2556 1
3 2555 3
4 2554 3
5 2553 13
6 2552 18
7 2551 18
8 2550 5
9 2549 5
10 2548 4
11 2547 2
12 2546 1
ผลงานวิจัย
# หัวเรื่อง
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