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
- 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
2021
Bilateral Teleoperation with Object-Adaptive Mapping, , , , and , in: Complex & Intelligent Systems, 2021 |
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Editorial: Artificial Intelligence and Human Movement in Industries and Creation, , , , and , in: Frontiers in Robotics and AI, 8:712521, 2021 |
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Geometry-aware Manipulability Learning, Tracking and Transfer, , , and , in: International Journal of Robotic Research, 40(2-3):624-650, 2021 |
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Intrinsically-Motivated Robot Learning of Bayesian Probabilistic Movement Primitives, and , in: ICRA workshop: "Towards Curious Robots: Modern Approaches for Intrinsically-Motivated Intelligent Behavior", 2021 |
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Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network, , , and , in: IEEE Robotics and Automation Letters, 2021 |
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Learning Optimal Impedance Control During Complex 3D Arm Movements, , , , and , in: IEEE Robotics and Automation Letters (RA-L), 6(2):1248-1255, 2021 |
[DOI] [URL] |
Motion Mappings for Continuous Bilateral Teleoperation, , , , , and , in: IEEE Robotics and Automation Letters, 6(3):5048-5055, 2021 |
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Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills, , and , in: Proc. IEEE Intl Conf. on Advanced Robotics (ICAR), 2021 |
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Optimization of robot configurations for motion planning in industrial riveting, , , and , in: Proc. IEEE Intl Conf. on Advanced Robotics (ICAR), 2021 |
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Probabilistic Adaptive Control for Robust Behavior Imitation, , and , in: IEEE Robotics and Automation Letters, 2021 |
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Probabilistic Iterative LQR for Short Time Horizon MPC, and , in: International Conference on Intelligent Robots and Systems, pages 579-585, 2021 |
[DOI] |
Sequential Robot Imitation Learning from Observations, , , , and , in: International Journal of Robotics Research (IJRR), 2021 |
Tensor-variate mixture of experts for proportional myographic control of a robotic hand, , and , in: Robotics and Autonomous Systems, 142:103812, 2021 |
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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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Whole Body Model Predictive Control with a Memory of Motion:Experiments on a Torque-Controlled Talos, , , , , , , , , , , and , in: IEEE International Conference on Robotics and Automation, 2021 |
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2020
A memory of motion for visual predictive control tasks, , and , in: International Conference on Robotics and Automation, 2020 |
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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 |
[DOI] [URL] |
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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Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations, , and , in: Robotics: Science and Systems, 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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Generative adversarial training of product of policies for robust and adaptive movement primitives, , and , in: In Proc. Conference on Robot Learning (CoRL), 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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Learning, Generating and Adapting Wave Gestures for Expressive Human-Robot Interaction, , and , in: Proc. ACM/IEEE Intl Conf. on Human-Robot Interaction (HRI), pages 386-388, 2020 |
[DOI] [URL] |
Memory of Motion for Warm-starting Trajectory Optimization, , , and , in: IEEE Robotics and Automation Letters, 5(2):2594-2601, 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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2019
Bayesian Gaussian mixture model for robotic policy imitation, and , in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019 |
[DOI] [URL] |
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning, , , and , in: Conference on Robot Learning, 2019 |
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