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
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Learning Task Priorities from Demonstrations, , , and , in: IEEE Transactions on Robotics, 35(1):78-94, 2019 |
[DOI] [URL] |
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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A Laser-based Dual-arm System for Precise Control of Collaborative Robots, , and , in: IEEE International Conference on Robotics and Automation, 2021 |
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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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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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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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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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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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Sequential Robot Imitation Learning from Observations, , , , and , in: International Journal of Robotics Research (IJRR), 2021 |
A Generative Model for Intention Recognition and Manipulation Assistance in Teleoperation, and , in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017 |
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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 |
[URL] |
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 |
[DOI] [URL] |
An Optimal Control Formulation of Tool Affordance Applied to Impact Tasks, , , and , in: IEEE Transactions on Robotics (T-RO), 2024 |
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Imitation of Manipulation Skills Using Multiple Geometries, , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2022 |
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A Geometric Optimal Control Approach for Imitation and Generalization of Manipulation Skills, , , , and , in: Robotics and Autonomous Systems, 2023 |
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Online Multi-Contact Receding Horizon Planning via Value Function Approximation, , , , , , , , , , and , in: IEEE Transactions on Robotics (T-RO), 2024 |
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Learning to Guide Online Multi-Contact Receding Horizon Planning, , , , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2022 |
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D-LGP: Dynamic Logic-Geometric Program for Reactive Task and Motion Planning, , and , in: IEEE International Conference on Robotics and Automation, 2024 |
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Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation, , , and , in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), pages 4999-5005, 2023 |
[DOI] |
Robust Manipulation Primitive Learning via Domain Contraction, , , and , in: Proceedings of Conference on Robot Learning, 2024 |
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Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning, , , and , in: Proc. Robotics: Science and Systems (RSS), 2024 |
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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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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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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 |
[DOI] [URL] |
Learning Task-Space Synergies using Riemannian Geometry, , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Vancouver, Canada, pages 73-78, IEEE, 2017 |
[URL] |
An Approach for Imitation Learning on Riemannian Manifolds, , , , and , in: IEEE Robotics and Automation Letters (RA-L), 2(3):1240-1247, 2017 |
[DOI] [URL] |
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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