Sethu Vijayakumar

David J. Braun, Matthew Howard, Sethu Vijayakumar: Optimal variable stiffness control: formulation and application to explosive movement tasks. Auton. Robots 33(3): 237-253 (2012)

David J. Braun, Florian Petit, Felix Huber, Sami Haddadin, P. Patrick van der Smagt, Alin Albu-Schäffer, Sethu Vijayakumar: Optimal torque and stiffness control in compliantly actuated robots. IROS 2012: 2801-2808

Jun Nakanishi, Sethu Vijayakumar: Exploiting Passive Dynamics with Variable Stiffness Actuation in Robot Brachiation. Robotics: Science and Systems 2012

Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar: On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference. Robotics: Science and Systems 2012

Dmitry Zarubin, Vladimir Ivan, Marc Toussaint, Taku Komura, Sethu Vijayakumar: Hierarchical Motion Planning in Topological Representations. Robotics: Science and Systems 2012

Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar: Path Integral Control by Reproducing Kernel Hilbert Space Embedding. CoRR abs/1208.2523 (2012)

Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Learning impedance control of antagonistic systems based on stochastic optimization principles. I. J. Robotic Res. 30(5): 556-573 (2011)

Takeshi Mori, Matthew Howard, Sethu Vijayakumar: Model-free apprenticeship learning for transfer of human impedance behaviour. Humanoids 2011: 239-246

Matthew Howard, David J. Braun, Sethu Vijayakumar: Constraint-based equilibrium and stiffness control of variable stiffness actuators. ICRA 2011: 5554-5560

Jun Nakanishi, Konrad Rawlik, Sethu Vijayakumar: Stiffness and temporal optimization in periodic movements: An optimal control approach. IROS 2011: 718-724

Hannes P. Saal, Nicolas M. O. Heess, Sethu Vijayakumar: Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature. ECML/PKDD (3) 2011: 81-96

David J. Braun, Matthew Howard, Sethu Vijayakumar: Exploiting Variable Stiffness in Explosive Movement Tasks. Robotics: Science and Systems 2011

Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar: Active Sequential Learning with Tactile Feedback. Journal of Machine Learning Research - Proceedings Track 9: 677-684 (2010)

Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal: Efficient Learning and Feature Selection in High-Dimensional Regression. Neural Computation 22(4): 831-886 (2010)

Matthew Howard, Djordje Mitrovic, Sethu Vijayakumar: Transferring impedance control strategies between heterogeneous systems via apprenticeship learning. Humanoids 2010: 98-105

Djordje Mitrovic, Stefan Klanke, Matthew Howard, Sethu Vijayakumar: Exploiting sensorimotor stochasticity for learning control of variable impedance actuators. Humanoids 2010: 536-541

Djordje Mitrovic, Sho Nagashima, Stefan Klanke, Takamitsu Matsubara, Sethu Vijayakumar: Optimal Feedback Control for anthropomorphic manipulators. ICRA 2010: 4143-4150

Edmond S. L. Ho, Taku Komura, Subramanian Ramamoorthy, Sethu Vijayakumar: Controlling humanoid robots in topology coordinates. IROS 2010: 178-182

Christopher Towell, Matthew Howard, Sethu Vijayakumar: Learning nullspace policies. IROS 2010: 241-248

Hannes P. Saal, Jo-Anne Ting, Sethu Vijayakumar: Active estimation of object dynamics parameters with tactile sensors. IROS 2010: 916-921

Sebastian Bitzer, Matthew Howard, Sethu Vijayakumar: Using dimensionality reduction to exploit constraints in reinforcement learning. IROS 2010: 3219-3225

Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar: An Approximate Inference Approach to Temporal Optimization in Optimal Control. NIPS 2010: 2011-2019

Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Adaptive Optimal Feedback Control with Learned Internal Dynamics Models. From Motor Learning to Interaction Learning in Robots 2010: 65-84

Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar: Methods for Learning Control Policies from Variable-Constraint Demonstrations. From Motor Learning to Interaction Learning in Robots 2010: 253-291

Jo-Anne Ting, Sethu Vijayakumar, Stefan Schaal: Locally Weighted Regression for Control. Encyclopedia of Machine Learning 2010: 613-624

Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar: Approximate Inference and Stochastic Optimal Control. CoRR abs/1009.3958 (2010)

Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar: A novel method for learning policies from variable constraint data. Auton. Robots 27(2): 105-121 (2009)

Adrian Haith, Sethu Vijayakumar: Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models. Biological Cybernetics 100(1): 81-95 (2009)

Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar: Local Dimensionality Reduction for Non-Parametric Regression. Neural Processing Letters 29(2): 109-131 (2009)

Sebastian Bitzer, Stefan Klanke, Sethu Vijayakumar: Does dimensionality reduction improve the quality of motion interpolation? ESANN 2009

Sebastian Bitzer, Sethu Vijayakumar: Latent spaces for dynamic movement primitives. Humanoids 2009: 574-581

Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar: A novel method for learning policies from constrained motion. ICRA 2009: 1717-1723

Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar: Robust constraint-consistent learning. IROS 2009: 4629-4636

Narayanan Unny Edakunni, Sethu Vijayakumar: Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors. MCS 2009: 102-111

Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Helge Ritter: Towards Semi-supervised Manifold Learning: UKR with Structural Hints. WSOM 2009: 298-306

Sethu Vijayakumar, Marc Toussaint, Georgios Petkos, Matthew Howard: Planning and Moving in Dynamic Environments. Creating Brain-Like Intelligence 2009: 151-191

Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Geodesic Gaussian kernels for value function approximation. Auton. Robots 25(3): 287-304 (2008)

Stefan Klanke, Sethu Vijayakumar, Stefan Schaal: A Library for Locally Weighted Projection Regression. Journal of Machine Learning Research 9: 623-626 (2008)

Timothy M. Hospedales, Sethu Vijayakumar: Structure Inference for Bayesian Multisensory Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2140-2157 (2008)

Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar: Learning potential-based policies from constrained motion. Humanoids 2008: 714-735

Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Optimal Control with Adaptive Internal Dynamics Models. ICINCO-ICSO 2008: 141-148

Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal: A Bayesian approach to empirical local linearization for robotics. ICRA 2008: 2860-2865

Kian Ming Adam Chai, Christopher K. I. Williams, Stefan Klanke, Sethu Vijayakumar: Multi-task Gaussian Process Learning of Robot Inverse Dynamics. NIPS 2008: 265-272

Adrian Haith, Carl P. T. Jackson, R. Chris Miall, Sethu Vijayakumar: Unifying the Sensory and Motor Components of Sensorimotor Adaptation. NIPS 2008: 593-600

Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar, Stefan Schaal: Bayesian Kernel Shaping for Learning Control. NIPS 2008: 1673-1680

Djordje Mitrovic, Stefan Klanke, Sethu Vijayakumar: Adaptive Optimal Control for Redundantly Actuated Arms. SAB 2008: 93-102

Sebastian Bitzer, Ioannis Havoutis, Sethu Vijayakumar: Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies. SAB 2008: 199-209

Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar: Sensor-assisted adaptive motor control under continuously varying context. ICINCO-ICSO 2007: 262-269

Graham McNeill, Sethu Vijayakumar: Linear and nonlinear generative probabilistic class models for shape contours. ICML 2007: 617-624

Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA 2007: 1733-1740

Georgios Petkos, Sethu Vijayakumar: Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts. ICRA 2007: 2117-2123

Narayanan Unny Edakunni, Stefan Schaal, Sethu Vijayakumar: Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. IJCAI 2007: 762-767

Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar: Structure Inference for Bayesian Multisensory Perception and Tracking. IJCAI 2007: 2122-2128

Georgios Petkos, Sethu Vijayakumar: Load estimation and control using learned dynamics models. IROS 2007: 1527-1532

Graham McNeill, Sethu Vijayakumar: Hierarchical Procrustes Matching for Shape Retrieval. CVPR (1) 2006: 885-894

Georgios Petkos, Marc Toussaint, Sethu Vijayakumar: Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts. ICANN (1) 2006: 898-907

Graham McNeill, Sethu Vijayakumar: A Probabilistic Approach to Robust Shape Matching. ICIP 2006: 937-940

Graham McNeill, Sethu Vijayakumar: Part-Based Probabilistic Point Matching. ICPR (2) 2006: 382-386

Graham McNeill, Sethu Vijayakumar: Part-based Probabilistic Point Matching using Equivalence Constraints. NIPS 2006: 969-976

Matthew Howard, Michael Gienger, Christian Goerick, Sethu Vijayakumar: Learning Utility Surfaces for Movement Selection. ROBIO 2006: 286-292

Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal: Incremental Online Learning in High Dimensions. Neural Computation 17(12): 2602-2634 (2005)

Jan Peters, Sethu Vijayakumar, Stefan Schaal: Natural Actor-Critic. ECML 2005: 280-291

Marc Toussaint, Sethu Vijayakumar: Learning discontinuities with products-of-sigmoids for switching between local models. ICML 2005: 904-911

Graham McNeill, Sethu Vijayakumar: 2D Shape Classification and Retrieval. IJCAI 2005: 1483-1488

Marc Toussaint, Sethu Vijayakumar: Learning discontinuities for switching between local models. IJCAI 2005: 1744-1745

Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal: The Bayesian backfitting relevance vector machine. ICML 2004

Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar: Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning. Appl. Intell. 17(1): 49-60 (2002)

Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jörg Conradt, Stefan Schaal: Statistical Learning for Humanoid Robots. Auton. Robots 12(1): 55-69 (2002)

Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato: Using Humanoid Robots to Study Human Behavior. IEEE Intelligent Systems 15(4): 46-56 (2000)

Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal: On-line Learning for Humanoid Robot Systems. ICML 2000: 191-198

Sethu Vijayakumar, Stefan Schaal: Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. ICML 2000: 1079-1086

Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar: Real-Time Robot Learning with Locally Weighted Statistical Learning. ICRA 2000: 288-293

Sethu Vijayakumar, Stefan Schaal: Fast and Efficient Incremental Learning for High-Dimensional Movement Systems. ICRA 2000: 1894-1899

Sethu Vijayakumar, Hidemitsu Ogawa: RKHS-based functional analysis for exact incremental learning. Neurocomputing 29(1-3): 85-113 (1999)

Sethu Vijayakumar, S. Wu: Sequential Support Vector Classifiers and Regression. IIA/SOCO 1999

Sethu Vijayakumar, Stefan Schaal: Local Adaptive Subspace Regression. Neural Processing Letters 7(3): 139-149 (1998)

Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson: Local Dimensionality Reduction. NIPS 1997