# Sethu Vijayakumar

According to our database

Collaborative distances:

^{1}, Sethu Vijayakumar authored at least 144 papers between 1995 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control.

CoRR, 2019

Comparing Metrics for Robustness Against External Perturbations in Dynamic Trajectory Optimization.

CoRR, 2019

Comparing Alternate Modes of Teleoperation for Constrained Tasks.

CoRR, 2019

Analytic Model for Quadruped Locomotion Task-Space Planning.

CoRR, 2019

Equivalence of the Projected Forward Dynamics and the Dynamically Consistent Inverse Solution.

Proceedings of the Robotics: Science and Systems XV, 2019

Bio-inspired design and validation of the Efficient Lockable Spring Ankle (ELSA) prosthesis.

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

Comparing Alternate Modes of Teleoperation for Constrained Tasks.

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Towards Shared Autonomy Applications using Whole-body Control Formulations of Locomanipulation.

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

HDRM: A Resolution Complete Dynamic Roadmap for Real-Time Motion Planning in Complex Scenes.

IEEE Robotics and Automation Letters, 2018

Constraint-aware learning of policies by demonstration.

I. J. Robotics Res., 2018

Effectively Quantifying the Performance of Lower-Limb Exoskeletons Over a Range of Walking Conditions.

Front. Robotics and AI, 2018

Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses.

Front. Neurorobot., 2018

The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces.

CoRR, 2018

Dual-Arm Coordinated Motion Planning and Compliance Control for Capturing Moving Objects with Large Momentum.

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Leveraging Precomputation with Problem Encoding for Warm-Starting Trajectory Optimization in Complex Environments.

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Whole-Body Motor Skills for Humanoids.

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Planning in Time-Configuration Space for Efficient Pick-and-Place in Non-Static Environments with Temporal Constraints.

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Whole-Body End-Pose Planning for Legged Robots on Inclined Support Surfaces in Complex Environments.

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Nonlinear Optimization Using Discrete Variational Mechanics for Dynamic Maneuvers of a 3D One-Leg Hopper.

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Continuous Versus Discrete Simultaneous Control of Prosthetic Fingers.

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Dyadic collaborative Manipulation through Hybrid Trajectory Optimization.

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Bayesian Optimisation of Exoskeleton Design Parameters.

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017

Locally Weighted Regression for Control.

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Efficient Humanoid Motion Planning on Uneven Terrain Using Paired Forward-Inverse Dynamic Reachability Maps.

IEEE Robotics and Automation Letters, 2017

Spatio-temporal stiffness optimization with switching dynamics.

Auton. Robots, 2017

Learning Constrained Generalizable Policies by Demonstration.

Proceedings of the Robotics: Science and Systems XIII, 2017

Identifying invariant gait metrics for exoskeleton assistance.

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Use of regularized discriminant analysis improves myoelectric hand movement classification.

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Efficient learning of constraints and generic null space policies.

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Robust foot placement control for dynamic walking using online parameter estimation.

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Robust shared autonomy for mobile manipulation with continuous scene monitoring.

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

Scaling Sampling-based Motion Planning to Humanoid Robots.

CoRR, 2016

iDRM: Humanoid Motion Planning with Real-Time End-Pose Selection in Complex Environments.

CoRR, 2016

Scaling sampling-based motion planning to humanoid robots.

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Automatic configuration of ROS applications for near-optimal performance.

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Shared Autonomy for Interactive Robotics: Closing the Loop.

Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), 2016

iDRM: Humanoid motion planning with realtime end-pose selection in complex environments.

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Real-time classification of multi-modal sensory data for prosthetic hand control.

Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

2015

Evaluation of regression methods for the continuous decoding of finger movement from surface EMG and accelerometry.

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

An Approximate Inference Approach to Temporal Optimization for Robotics.

Proceedings of the Robotics Research, 2015

Learning null space projections.

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Optimal Control of Multi-phase Movements with Learned Dynamics.

Proceedings of the Man-Machine Interactions 4, 2015

Real-time motion adaptation using relative distance space representation.

Proceedings of the International Conference on Advanced Robotics, 2015

Space-time area coverage control for robot motion synthesis.

Proceedings of the International Conference on Advanced Robotics, 2015

Dynamic process migration in heterogeneous ROS-based environments.

Proceedings of the International Conference on Advanced Robotics, 2015

Towards low-dimensionsal proportional myoelectric control.

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

A novel approach for representing and generalising periodic gaits.

Robotica, 2014

On the Origins of Suboptimality in Human Probabilistic Inference.

PLoS Computational Biology, 2014

A Framework for Testing Identifiability of Bayesian Models of Perception.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Real-time object pose recognition and tracking with an imprecisely calibrated moving RGB-D camera.

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Generalizability of EMG decoding using local field potentials.

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A novel approach for generalising walking gaits across embodiments and behaviours.

Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014

2013

Transferring Human Impedance Behavior to Heterogeneous Variable Impedance Actuators.

IEEE Trans. Robotics, 2013

Robots Driven by Compliant Actuators: Optimal Control Under Actuation Constraints.

IEEE Trans. Robotics, 2013

Cognitive Social Robotics: Intelligence based on Embodied Experience and Social Interaction (NII Shonan Meeting 2013-14).

NII Shonan Meet. Rep., 2013

Dynamic Obstacle Avoidance Using Bayesian Occupancy Filter and Approximate Inference.

Sensors, 2013

Topology-based representations for motion planning and generalization in dynamic environments with interactions.

I. J. Robotics Res., 2013

Spatio-temporal optimization of multi-phase movements: Dealing with contacts and switching dynamics.

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract).

Proceedings of the IJCAI 2013, 2013

Path Integral Control by Reproducing Kernel Hilbert Space Embedding.

Proceedings of the IJCAI 2013, 2013

2012

Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing.

PLoS Computational Biology, 2012

Path Integral Control by Reproducing Kernel Hilbert Space Embedding

CoRR, 2012

Optimal variable stiffness control: formulation and application to explosive movement tasks.

Auton. Robots, 2012

Hierarchical Motion Planning in Topological Representations.

Proceedings of the Robotics: Science and Systems VIII, 2012

On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference.

Proceedings of the Robotics: Science and Systems VIII, 2012

Exploiting Passive Dynamics with Variable Stiffness Actuation in Robot Brachiation.

Proceedings of the Robotics: Science and Systems VIII, 2012

Optimal torque and stiffness control in compliantly actuated robots.

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

BLUE: A bipedal robot with variable stiffness and damping.

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011

Learning impedance control of antagonistic systems based on stochastic optimization principles.

I. J. Robotics Res., 2011

Exploiting Variable Stiffness in Explosive Movement Tasks.

Proceedings of the Robotics: Science and Systems VII, 2011

Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Stiffness and temporal optimization in periodic movements: An optimal control approach.

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Constraint-based equilibrium and stiffness control of variable stiffness actuators.

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Model-free apprenticeship learning for transfer of human impedance behaviour.

Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

2010

Adaptive Optimal Feedback Control with Learned Internal Dynamics Models.

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Methods for Learning Control Policies from Variable-Constraint Demonstrations.

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Locally Weighted Regression for Control.

Proceedings of the Encyclopedia of Machine Learning, 2010

Efficient Learning and Feature Selection in High-Dimensional Regression.

Neural Computation, 2010

Active Sequential Learning with Tactile Feedback.

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Approximate Inference and Stochastic Optimal Control

CoRR, 2010

An Approximate Inference Approach to Temporal Optimization in Optimal Control.

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning nullspace policies.

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Active estimation of object dynamics parameters with tactile sensors.

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Controlling humanoid robots in topology coordinates.

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Using dimensionality reduction to exploit constraints in reinforcement learning.

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Optimal Feedback Control for anthropomorphic manipulators.

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Exploiting sensorimotor stochasticity for learning control of variable impedance actuators.

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

Transferring impedance control strategies between heterogeneous systems via apprenticeship learning.

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009

Planning and Moving in Dynamic Environments.

Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Local Dimensionality Reduction for Non-Parametric Regression.

Neural Processing Letters, 2009

Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models.

Biological Cybernetics, 2009

A novel method for learning policies from variable constraint data.

Auton. Robots, 2009

Towards Semi-supervised Manifold Learning: UKR with Structural Hints.

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors.

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Robust constraint-consistent learning.

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

A novel method for learning policies from constrained motion.

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Latent spaces for dynamic movement primitives.

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Does dimensionality reduction improve the quality of motion interpolation?

Proceedings of the ESANN 2009, 2009

2008

Structure Inference for Bayesian Multisensory Scene Understanding.

IEEE Trans. Pattern Anal. Mach. Intell., 2008

A Library for Locally Weighted Projection Regression.

J. Mach. Learn. Res., 2008

Geodesic Gaussian kernels for value function approximation.

Auton. Robots, 2008

Adaptive Optimal Control for Redundantly Actuated Arms.

Proceedings of the From Animals to Animats 10, 2008

Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies.

Proceedings of the From Animals to Animats 10, 2008

Bayesian Kernel Shaping for Learning Control.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Unifying the Sensory and Motor Components of Sensorimotor Adaptation.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multi-task Gaussian Process Learning of Robot Inverse Dynamics.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Bayesian approach to empirical local linearization for robotics.

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Optimal Control with Adaptive Internal Dynamics Models.

Proceedings of the ICINCO 2008, 2008

Learning potential-based policies from constrained motion.

Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

2007

Load estimation and control using learned dynamics models.

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Structure Inference for Bayesian Multisensory Perception and Tracking.

Proceedings of the IJCAI 2007, 2007

Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.

Proceedings of the IJCAI 2007, 2007

Value Function Approximation on Non-Linear Manifolds for Robot Motor Control.

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts.

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Linear and nonlinear generative probabilistic class models for shape contours.

Proceedings of the Machine Learning, 2007

Sensor-assisted adaptive motor control under continuously varying context.

Proceedings of the ICINCO 2007, 2007

2006

Learning Utility Surfaces for Movement Selection.

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

Part-based Probabilistic Point Matching using Equivalence Constraints.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Part-Based Probabilistic Point Matching.

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Probabilistic Approach to Robust Shape Matching.

Proceedings of the International Conference on Image Processing, 2006

Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts.

Proceedings of the Artificial Neural Networks, 2006

Hierarchical Procrustes Matching for Shape Retrieval.

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Incremental Online Learning in High Dimensions.

Neural Computation, 2005

Learning discontinuities for switching between local models.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2D Shape Classification and Retrieval.

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning discontinuities with products-of-sigmoids for switching between local models.

Proceedings of the Machine Learning, 2005

Natural Actor-Critic.

Proceedings of the Machine Learning: ECML 2005, 2005

2004

The Bayesian backfitting relevance vector machine.

Proceedings of the Machine Learning, 2004

2002

Statistical Learning for Humanoid Robots.

Auton. Robots, 2002

Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning.

Appl. Intell., 2002

2001

Biomimetic Oculomotor Control.

Adaptive Behaviour, 2001

Overt visual attention for a humanoid robot.

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Learning inverse kinematics.

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

2000

Using Humanoid Robots to Study Human Behavior.

IEEE Intelligent Systems, 2000

Fast and Efficient Incremental Learning for High-Dimensional Movement Systems.

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Real-Time Robot Learning with Locally Weighted Statistical Learning.

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space.

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

On-line Learning for Humanoid Robot Systems.

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

RKHS-based functional analysis for exact incremental learning.

Neurocomputing, 1999

Sequential Support Vector Classifiers and Regression.

Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

1998

Local Adaptive Subspace Regression.

Neural Processing Letters, 1998

1997

Local Dimensionality Reduction.

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Local dimensionality reduction for locally weighted learning.

Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1995

A functional analytic approach to incremental learning in optimally generalizing neural networks.

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995