Sylvain Calinon

Orcid: 0000-0002-9036-6799

According to our database1, Sylvain Calinon authored at least 166 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
An Optimal Control Formulation of Tool Affordance Applied to Impact Tasks.
IEEE Trans. Robotics, 2024

Tactile Ergodic Control Using Diffusion and Geometric Algebra.
CoRR, 2024

AiRLIHockey: Highly Reactive Contact Control and Stochastic Optimal Shooting.
CoRR, 2024

Online Learning of Piecewise Polynomial Signed Distance Fields for Manipulation Tasks.
CoRR, 2024

2023
Whole-Body Ergodic Exploration With a Manipulator Using Diffusion.
IEEE Robotics Autom. Lett., December, 2023

Geometric Algebra for Optimal Control With Applications in Manipulation Tasks.
IEEE Trans. Robotics, October, 2023

A geometric optimal control approach for imitation and generalization of manipulation skills.
Robotics Auton. Syst., June, 2023

Combining Social and Intrinsically Motivated Learning for Multitask Robot Skill Acquisition.
IEEE Trans. Cogn. Dev. Syst., 2023

D-LGP: Dynamic Logic-Geometric Program for Combined Task and Motion Planning.
CoRR, 2023

Extending the Cooperative Dual-Task Space in Conformal Geometric Algebra.
CoRR, 2023

gafro: Geometric Algebra for Robotics.
CoRR, 2023

Geometric Projectors: Geometric Constraints based Optimization for Robot Behaviors.
CoRR, 2023

Learning Robot Geometry as Distance Fields: Applications to Whole-body Manipulation.
CoRR, 2023

Projection-based first-order constrained optimization solver for robotics.
CoRR, 2023

Whole-Body Exploration with a Manipulator Using Heat Equation.
CoRR, 2023

SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by Generative Pre-trained Heterogeneous Graph Transformer.
CoRR, 2023

Online Multi-Contact Receding Horizon Planning via Value Function Approximation.
CoRR, 2023

Contact Optimization with Learning from Demonstration: Application in Long-term Non-prehensile Planar Manipulation.
CoRR, 2023

Learning Joint Space Reference Manifold for Reliable Physical Assistance.
IROS, 2023

SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer.
IROS, 2023

A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network.
IROS, 2023

Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks.
IEEE Trans. Robotics, 2022

drozBot: Using Ergodic Control to Draw Portraits.
IEEE Robotics Autom. Lett., 2022

Robot Cooking With Stir-Fry: Bimanual Non-Prehensile Manipulation of Semi-Fluid Objects.
IEEE Robotics Autom. Lett., 2022

From Key Positions to Optimal Basis Functions for Probabilistic Adaptive Control.
IEEE Robotics Autom. Lett., 2022

Passive Bimanual Skills Learning From Demonstration With Motion Graph Attention Networks.
IEEE Robotics Autom. Lett., 2022

Learning from demonstration using products of experts: Applications to manipulation and task prioritization.
Int. J. Robotics Res., 2022

Tensor Train for Global Optimization Problems in Robotics.
CoRR, 2022

Reactive Anticipatory Robot Skills with Memory.
Proceedings of the Robotics Research, 2022

Learning to Guide Online Multi-Contact Receding Horizon Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Imitation of Manipulation Skills Using Multiple Geometries.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Tensor-variate mixture of experts for proportional myographic control of a robotic hand.
Robotics Auton. Syst., 2021

Learning Optimal Impedance Control During Complex 3D Arm Movements.
IEEE Robotics Autom. Lett., 2021

Learning Constrained Distributions of Robot Configurations With Generative Adversarial Network.
IEEE Robotics Autom. Lett., 2021

Active Learning of Bayesian Probabilistic Movement Primitives.
IEEE Robotics Autom. Lett., 2021

Probabilistic Adaptive Control for Robust Behavior Imitation.
IEEE Robotics Autom. Lett., 2021

Motion Mappings for Continuous Bilateral Teleoperation.
IEEE Robotics Autom. Lett., 2021

Sequential robot imitation learning from observations.
Int. J. Robotics Res., 2021

Geometry-aware manipulability learning, tracking, and transfer.
Int. J. Robotics Res., 2021

Editorial: Artificial Intelligence and Human Movement in Industries and Creation.
Frontiers Robotics AI, 2021

Online and Offline Robot Programming via Augmented Reality Workspaces.
CoRR, 2021

Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series.
CoRR, 2021

Probabilistic Iterative LQR for Short Time Horizon MPC.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Laser-based Dual-arm System for Precise Control of Collaborative Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Whole Body Model Predictive Control with a Memory of Motion: Experiments on a Torque-Controlled Talos.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

Optimization of robot configurations for motion planning in industrial riveting.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

Trajectory Prediction with Compressed 3D Environment Representation using Tensor Train Decomposition.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020
A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials.
IEEE Trans. Robotics, 2020

Gaussians on Riemannian Manifolds: Applications for Robot Learning and Adaptive Control.
IEEE Robotics Autom. Mag., 2020

Memory of Motion for Warm-Starting Trajectory Optimization.
IEEE Robotics Autom. Lett., 2020

Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning.
CoRR, 2020

A Laser-based Dual-arm System for Precise Control of Collaborative Robots.
CoRR, 2020

Interaction-limited Inverse Reinforcement Learning.
CoRR, 2020

Using a memory of motion to efficiently achieve visual predictive control tasks.
CoRR, 2020

Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations.
Proceedings of the Robotics: Science and Systems XVI, 2020

Analysis and Transfer of Human Movement Manipulability in Industry-like Activities.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Variational Inference with Mixture Model Approximation for Applications in Robotics.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A memory of motion for visual predictive control tasks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learning, Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Generative adversarial training of product of policies for robust and adaptive movement primitives.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning Task Priorities from Demonstrations.
IEEE Trans. Robotics, 2019

Bayesian Gaussian Mixture Model for Robotic Policy Imitation.
IEEE Robotics Autom. Lett., 2019

Small-variance asymptotics for non-parametric online robot learning.
Int. J. Robotics Res., 2019

Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control.
CoRR, 2019

Nullspace Structure in Model Predictive Control.
CoRR, 2019

Variational Inference with Mixture Model Approximation: Robotic Applications.
CoRR, 2019

Tensor-variate Mixture of Experts.
CoRR, 2019

Learning from demonstration for semi-autonomous teleoperation.
Auton. Robots, 2019

Improving dual-arm assembly by master-slave compliance.
Proceedings of the International Conference on Robotics and Automation, 2019

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Learning from demonstration with model-based Gaussian process.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Flexible Automation Driven by Demonstration: Leveraging Strategies that Simplify Robotics.
IEEE Robotics Autom. Mag., 2018

Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles.
IEEE Robotics Autom. Mag., 2018

Programming by Demonstration for Shared Control With an Application in Teleoperation.
IEEE Robotics Autom. Lett., 2018

A Brief Survey on the Role of Dimensionality Reduction in Manipulation Learning and Control.
IEEE Robotics Autom. Lett., 2018

Geometry-aware Manipulability Transfer.
CoRR, 2018

Special issue on learning for human-robot collaboration.
Auton. Robots, 2018

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Geometry-aware Tracking of Manipulability Ellipsoids.
Proceedings of the Robotics: Science and Systems XIV, 2018

Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Joining High-Level Symbolic Planning with Low-Level Motion Primitives in Adaptive HRI: Application to Dressing Assistance.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Bimanual Skill Learning with Pose and Joint Space Constraints.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
Learning adaptive dressing assistance from human demonstration.
Robotics Auton. Syst., 2017

An Approach for Imitation Learning on Riemannian Manifolds.
IEEE Robotics Autom. Lett., 2017

A Learning from Demonstration Approach fusing Torque Controllers.
CoRR, 2017

Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills.
CoRR, 2017

Learning autonomous behaviours for the body of a flexible surgical robot.
Auton. Robots, 2017

Dynamic Graffiti Stylisation with Stochastic Optimal Control.
Proceedings of the 4th International Conference on Movement Computing, 2017

Learning task-space synergies using Riemannian geometry.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A generative model for intention recognition and manipulation assistance in teleoperation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning manipulability ellipsoids for task compatibility in robot manipulation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Gaussian mixture regression on symmetric positive definite matrices manifolds: Application to wrist motion estimation with sEMG.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Trajectory and foothold optimization using low-dimensional models for rough terrain locomotion.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Supervisory teleoperation with online learning and optimal control.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Generating Calligraphic Trajectories with Model Predictive Control.
Proceedings of the 43rd Graphics Interface Conference 2017, 2017

2016
Learning from Humans.
Proceedings of the Springer Handbook of Robotics, 2016

Learning Physical Collaborative Robot Behaviors From Human Demonstrations.
IEEE Trans. Robotics, 2016

Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model.
IEEE Robotics Autom. Lett., 2016

A tutorial on task-parameterized movement learning and retrieval.
Intell. Serv. Robotics, 2016

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration.
Frontiers Robotics AI, 2016

Learning assistive teleoperation behaviors from demonstration.
Proceedings of the 2016 IEEE International Symposium on Safety, 2016

Online motion synthesis with minimal intervention control and formal safety guarantees.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Learning dynamic graffiti strokes with a compliant robot.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Variable duration movement encoding with minimal intervention control.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Autonomous framework for segmenting robot trajectories of manipulation task.
Auton. Robots, 2015

Robot Learning with Task-Parameterized Generative Models.
Proceedings of the Robotics Research, 2015

Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning the Stiffness of a Continuous Soft Manipulator from Multiple Demonstrations.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

2014
Human-robot skills transfer interfaces for a flexible surgical robot.
Comput. Methods Programs Biomed., 2014

Learning force and position constraints in human-robot cooperative transportation.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

A task-parameterized probabilistic model with minimal intervention control.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Null space redundancy learning for a flexible surgical robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning from demonstrations with partially observable task parameters.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning adaptive movements from demonstration and self-guided exploration.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

A Skill Transfer Approach for Continuum Robots - Imitation of Octopus Reaching Motion with the STIFF-FLOP Robot.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Reinforcement Learning in Robotics: Applications and Real-World Challenges.
Robotics, 2013

Compliant skills acquisition and multi-optima policy search with EM-based reinforcement learning.
Robotics Auton. Syst., 2013

Skills transfer across dissimilar robots by learning context-dependent rewards.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

On improving the extrapolation capability of task-parameterized movement models.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Learning Collaborative Impedance-Based Robot Behaviors.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Bayesian Nonparametric Multi-Optima Policy Search in Reinforcement Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
A Tangible Interface for Transferring Skills - Using Perception and Projection Capabilities in Human-Robot Collaboration Tasks.
Int. J. Soc. Robotics, 2012

Music expression with a robot manipulator used as a bidirectional tangible interface.
EURASIP J. Audio Speech Music. Process., 2012

Using Compliant Robots as Projective Interfaces in Dynamic Environments.
Proceedings of the Social Robotics - 4th International Conference, 2012

Challenges for the policy representation when applying reinforcement learning in robotics.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-optima exploration with adaptive Gaussian mixture model.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Learning basis skills by autonomous segmentation of humanoid motion trajectories.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Statistical dynamical systems for skills acquisition in humanoids.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011
Imitation Learning of Positional and Force Skills Demonstrated <i>via</i> Kinesthetic Teaching and Haptic Input.
Adv. Robotics, 2011

Bilateral physical interaction with a robot manipulator through a weighted combination of flow fields.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Bipedal walking energy minimization by reinforcement learning with evolving policy parameterization.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Encoding the time and space constraints of a task in explicit-duration Hidden Markov Model.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Upper-body kinesthetic teaching of a free-standing humanoid robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Learning and Reproduction of Gestures by Imitation.
IEEE Robotics Autom. Mag., 2010

Robot motor skill coordination with EM-based Reinforcement Learning.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Learning-based control strategy for safe human-robot interaction exploiting task and robot redundancies.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Evaluation of a probabilistic approach to learn and reproduce gestures by imitation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Learning the skill of archery by a humanoid robot iCub.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009
Statistical Learning by Imitation of Competing Constraints in Joint Space and Task Space.
Adv. Robotics, 2009

Teaching a humanoid: A user study on learning by demonstration with HOAP-3.
Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication, 2009

Learning collaborative manipulation tasks by demonstration using a haptic interface.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

Teaching physical collaborative tasks: object-lifting case study with a humanoid.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Handling of multiple constraints and motion alternatives in a robot programming by demonstration framework.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Robot Programming by Demonstration - a Probabilistic Approach.
EPFL Press, ISBN: 978-1-4398-0867-2, 2009

2008
Robot Programming by Demonstration.
Proceedings of the Springer Handbook of Robotics, 2008

Dynamical System Modulation for Robot Learning via Kinesthetic Demonstrations.
IEEE Trans. Robotics, 2008

A probabilistic Programming by Demonstration framework handling constraints in joint space and task space.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2007
On Learning, Representing, and Generalizing a Task in a Humanoid Robot.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Reinforcement learning for imitating constrained reaching movements.
Adv. Robotics, 2007

Active Teaching in Robot Programming by Demonstration.
Proceedings of the IEEE RO-MAN 2007, 2007

Incremental learning of gestures by imitation in a humanoid robot.
Proceedings of the Second ACM SIGCHI/SIGART Conference on Human-Robot Interaction, 2007

2006
Discriminative and adaptive imitation in uni-manual and bi-manual tasks.
Robotics Auton. Syst., 2006

Teaching a Humanoid Robot to Recognize and Reproduce Social Cues.
Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication, 2006

On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Learning Dynamical System Modulation for Constrained Reaching Tasks.
Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, 2006

2005
Goal-Directed Imitation in a Humanoid Robot.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM.
Proceedings of the Machine Learning, 2005

A humanoid robot drawing human portraits.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005

2004
Discovering optimal imitation strategies.
Robotics Auton. Syst., 2004

Stochastic gesture production and recognition model for a humanoid robot.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004


  Loading...