Keywords:
- active learning
- adaptive control
- Approximate Dynamic Programming
- assistive robotics
- Bayesian Gaussian mixture model
- Bayesian non-parametrics
- Bayesian optimization
- bimanual coordination
- calligraphy
- Coded aperture imaging
- coded illumination
- computational imaging
- constrained optimization
- continuum robots
- dexterous manipulation
- differential kinematics
- ergodic exploration
- Fluorescence Microscopy
- Gaussian Mixture Model
- Gaussian mixture regression
- Gaussian process
- Gaussian processes
- generalized linear model
- generation
- Generative Adversarial Networks
- generative models
- Geometric Algebra
- Global optimization
- haptics
- human-robot collaboration
- human-robot interaction
- Hybrid Actions
- image reconstruction
- Imitation Learning
- impedance control
- Incremental Learning
- Inverse Kinematics
- inverse-problems
- Learning and Adaptive Systems
- Learning by demonstration
- learning from demonstration
- Learning from demonstrations
- locomotion
- Machine Learning for Robot Control
- manipulability ellipsoids
- micro-data learning
- microscopy
- minimal intervention control
- mixture models
- mixture of experts
- model predictive control
- Model- Based Optimization
- Motion and Path Planning
- motion blur
- motion planning
- motion synthesis
- movement primitives
- multilinear algebra
- multimodal optimization
- multimodal regression
- online learning
- optimal control
- optimization
- Optimization and Optimal Control
- physical human-robot interaction
- policy search
- Probability and Statistical Methods
- programming by demonstration
- projective gradient descent
- prosthetic hands
- regression
- representation learning
- Riemannian geometry
- Riemannian manifolds
- robot learning
- robot programming
- robotics
- Robust/Adaptive Control
- self-guided exploration
- sEMG
- semi-autonomous teleoperation
- Service Robots
- shared control
- Signed Distance Fields
- small variance asymptotics
- stochastic optimization
- Superresolution
- surface electromyography
- surgical robots
- TACT-HAND project
- tactile myography
- teleoperation
- Telerobotics and Teleoperation
- Temporal superresolution
- Tensor Approximation
- tensor factorization
- tensor methods
- tensor train decomposition
- tensor-variate cross approximation
- underwater robots
- Visual Predictive Control
- Whole-Body Motion Planning and Control
Publications of Sylvain Calinon sorted by first author
A
Learning from demonstrations with partially observable task parameters, , and , in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 3309 - 3314, IEEE, 2014 |
[DOI] |
B
Dynamic Graffiti Stylisation with Stochastic Optimal Control, , and , in: Intl Workshop on movement and computing (MOCO), London, UK, pages 1-8, ACM, 2017 |
[DOI] [URL] |
Generating Calligraphic Trajectories with Model Predictive Control, , and , in: Proc. 43rd Conf. on Graphics Interface, Edmonton, AL, Canada, pages 132-139, 2017 |
[DOI] |
Learning dynamic graffiti strokes with a compliant robot, , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, pages 3981-3986, 2016 |
[URL] |
Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures, , and , in: Mixture Models and Applications, pages 23-38, Springer, 2019 |
[DOI] |
Tactile Ergodic Coverage on Curved Surfaces, , and , in: IEEE Transactions on Robotics (T-RO), 2024 |
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Whole-Body Ergodic Exploration with a Manipulator Using Diffusion, , and , in: IEEE Robotics and Automation Letters, 8(12):8581-8587, 2023 |
[DOI] [URL] |
Learning From Humans, , and , in: Handbook of Robotics, pages 1995-2014, Springer, 2016 |
[DOI] [URL] |
Dexterous Underwater Manipulation from Distant Onshore Locations, , , , , , , , , , , , , , , , , , , , , , , , and , in: IEEE Robotics and Automation Magazine, 2018 |
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Intuitive Robot Programming, , , , and , in: Ergonomics in Robotics: Advances and Innovations, Springer, 2025 |
Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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A Minimum-Jerk Approach to Handle Singularities in Virtual Fixtures, , and , in: IEEE Robotics and Automation Letters (RA-L), 9(11):10256-10263, 2024 |
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Trajectory Prediction with Compressed 3D Environment Representation using Tensor Train Decomposition, , , and , in: International Conference on Advanced Robotics, 2021 |
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Learning Autonomous Behaviours for the Body of a Flexible Surgical Robot, , and , in: Autonomous Robots, 41(2):333-347, 2017 |
[DOI] [URL] |
Null space redundancy learning for a flexible surgical robot, , and , in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 2443 - 2448, IEEE, 2014 |
[DOI] |
Learning adaptive movements from demonstration and self-guided exploration, , and , in: Proc. IEEE Intl Conf. on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Genoa, Italy, pages 160-165, 2014 |
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Learning the Stiffness of a Continuous Soft Manipulator from Multiple Demonstrations, , , and , in: Intelligent Robotics and Applications, pages 185-195, Springer, 2015 |
[DOI] [URL] |
C
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control, , in: IEEE Robotics and Automation Magazine (RAM), 2020 |
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A Tutorial on Task-Parameterized Movement Learning and Retrieval, , in: Intelligent Service Robotics, 9(1):1-29, 2016 |
[DOI] [URL] |
Stochastic learning and control in multiple coordinate systems, , in: Intl Workshop on Human-Friendly Robotics, Genoa, Italy, pages 1-5, 2016 |
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Robot Learning with Task-Parameterized Generative Models, , in: Proc. Intl Symp. on Robotics Research, 2015 |
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Skills Learning in Robots by Interaction with Users and Environment, , in: In Proc. of the Intl Conf. on Ubiquitous Robots and Ambient Intelligence (URAI), Kuala Lumpur, Malaysia, pages 161-162, 2014 |
[URL] |
Learning from Demonstration (Programming by Demonstration), , in: Encyclopedia of Robotics, Springer, 2019 |
[DOI] [URL] |
Robot Learning with Task-Parameterized Generative Models, , in: Robotics Research, pages 111-126, Springer, 2018 |
[DOI] [URL] |
Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series, , in: Mixture Models and Applications, pages 39-57, Springer, 2019 |
[DOI] |
A task-parameterized probabilistic model with minimal intervention control, , and , in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Hong Kong, pages 3339 - 3344, IEEE, 2014 |
[DOI] |
Programming industrial robots from few demonstrations., , in: Human-Robot Collaboration: Unlocking the potential for industrial applications, pages 9-37, Institution of Engineering and Technology (IET), 2023 |