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
- 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 recency
| Active Improvement of Control Policies with Bayesian Gaussian Mixture Model, , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, 2020 |
| Analysis and Transfer of Human Movement Manipulability in Industry-like Activities, , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, 2020 |
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| Variational Inference with Mixture Model Approximation for Applications in Robotics, , and , in: International Conference on Robotics and Automation, 2020 |
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| Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control, , in: IEEE Robotics and Automation Magazine (RAM), 2020 |
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| Memory of Motion for Warm-starting Trajectory Optimization, , , and , in: IEEE Robotics and Automation Letters, 5(2):2594-2601, 2020 |
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| A memory of motion for visual predictive control tasks, , and , in: International Conference on Robotics and Automation, 2020 |
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| Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion, , , , and , in: International Conference on Robotics and Automation, 2020 |
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| Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series, , in: Mixture Models and Applications, pages 39-57, Springer, 2019 |
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| Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures, , and , in: Mixture Models and Applications, pages 23-38, Springer, 2019 |
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| A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials, , , , and , in: IEEE Trans. on Robotics, 32(2):328-347, 2020 |
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| Improving dual-arm assembly by master-slave compliance, , , and , in: Proc. IEEE Intl Conf. on Robotics and Automation, pages 8676-8682, 2019 |
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| Bayesian Gaussian mixture model for robotic policy imitation, and , in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019 |
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| Learning from demonstration with model-based Gaussian process, , and , in: Conference on Robot Learning, 2019 |
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| Bayesian Optimization Meets Riemannian Manifolds in Robot Learning, , , and , in: Conference on Robot Learning, 2019 |
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| Temporal Super-Resolution Microscopy Using a Hue-Encoded Shutter, , , and , in: Optical Society of America Biomedical Optics Express, 10(09):4727-4741, 2019 |
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| Dexterous Underwater Manipulation from Distant Onshore Locations, , , , , , , , , , , , , , , , , , , , , , , , and , in: IEEE Robotics and Automation Magazine, 2018 |
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| Learning from Demonstration (Programming by Demonstration), , in: Encyclopedia of Robotics, Springer, 2019 |
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| Small Variance Asymptotics for Non-Parametric Online Robot Learning, and , in: International Journal of Robotics Research (IJRR), 38(1):3-22, 2019 |
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| Learning Task Priorities from Demonstrations, , , and , in: IEEE Transactions on Robotics, 35(1):78-94, 2019 |
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| Learning from demonstration for semi-autonomous teleoperation, and , in: Autonomous Robots, 43(3):713-726, 2019 |
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| Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models, , , , , , , and , in: 13th Intl Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018 |
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| Bimanual Skill Learning with Pose and Joint Space Constraints, , , and , in: Proc. of the IEEE-RAS Intl Conf. on Humanoid Robots (Humanoids), 2018 |
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| Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints, , , , and , in: Proc. of the IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 6552-6559, 2018 |
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| Special issue on robot learning for human-robot collaboration, , , , and , in: Autonomous Robots, 42(5):953-956, 2018 |
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| Programming by Demonstration for Shared Control with an Application in Teleoperation, , and , in: IEEE Robotics and Automation Letters (RA-L), 3(3):1848-1855, 2018 |
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| Flexible Automation Driven by Demonstration: Leveraging Strategies that Simplify Robotics, , , , , , and , in: IEEE Robotics and Automation Magazine (RAM), 25(2):18-27, 2018 |
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| A Brief Survey on the Role of Dimensionality Reduction in Manipulation Learning and Control, , and , in: IEEE Robotics and Automation Letters (RA-L), 3(3):2608-2615, 2018 |
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| Learning Control, and , in: Humanoid Robotics: a Reference, pages 1261-1312, Springer, 2019 |
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| Geometry-aware Control and Learning in Robotics, and , in: R:SS Pioneers Workshop, 2018 |