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
2016
Learning dynamic graffiti strokes with a compliant robot, , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems, pages 3981-3986, 2016 |
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Learning From Humans, , and , in: Handbook of Robotics, pages 1995-2014, Springer, 2016 |
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Learning Physical Collaborative Robot Behaviors from Human Demonstrations, , , , and , in: IEEE Trans. on Robotics, 32(3):513-527, 2016 |
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Learning Robot Manipulation Tasks with Task-Parameterized Semi-Tied Hidden Semi-Markov Model, and , in: IEEE Robotics and Automation Letters, 1(1):235-242, 2016 |
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Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics, and , in: NIPS workshop on Advances in Approximate Bayesian Inference, Barcelona, Spain, pages 1-5, 2016 |
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Online motion synthesis with minimal intervention control and formal safety guarantees, , , and , in: Proc. IEEE Intl Conf. on Systems, Man, and Cybernetics, Budapest, Hungary, 2016 |
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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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Variable Duration Movement Encoding with Minimal Intervention Control, , and , in: Proc. of the IEEE Intl Conf. on Robotics and Automation (ICRA), pages 497-503, 2016 |
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2015
DexROV: Dexterous Undersea Inspection and Maintenance in Presence of Communication Latencies, , , , , , , , , , , , , , , and , in: IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV), pages 218-223, 2015 |
Learned Minimal Intervention Control Synthesis based on Hidden Semi-Markov Models, , and , in: Proc. of the 8th Intl Workshop on Human-Friendly Robotics, pages 17, 2015 |
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Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems, , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 464-470, 2015 |
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Learning Optimal Controllers in Human-robot Cooperative Transportation Tasks with Position and Force Constraints, , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 1024-1030, 2015 |
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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 |
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Robot Learning with Task-Parameterized Generative Models, , in: Proc. Intl Symp. on Robotics Research, 2015 |
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2014
A Skill Transfer Approach for Continuum Robots - Imitation of Octopus Reaching Motion with the STIFF-FLOP Robot, , , and , in: In Proc. of the AAAI Symp. on Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Arlington, VA, USA, pages 49-52, 2014 |
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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 |
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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 by Imitation with the STIFF-FLOP Surgical Robot: A Biomimetic Approach Inspired by Octopus Movements, , , and , in: Robotics and Biomimetics, 1(13):1-15, 2014 |
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Learning Force and Position Constraints in Human-robot Cooperative Transportation, , and , in: Proc. IEEE Intl Symposium on Robot and Human Interactive Communication (Ro-Man), Edinburgh, Scotland, UK, pages 619-624, 2014 |
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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 |
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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 |
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