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Sylvain Calinon

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Publications associées (85)

Generative adversarial training of product of policies for robust and adaptive movement primitives

Sylvain Calinon, Emmanuel Pignat, Hakan Girgin

In learning from demonstrations, many generative models of trajectories make simplifying assumptions of independence. Correctness is sacrificed in the name of tractability and speed of the learning phase. The ignored dependencies, which are often the kinem ...

2020

Temporal Super-Resolution Microscopy Using a Hue-Encoded Shutter

Michael Stefan Daniel Liebling, Sylvain Calinon, Christian Jaques, Emmanuel Pignat

Limited time-resolution in microscopy is an obstacle to many biological studies. Despite recent advances in hardware, digital cameras have limited operation modes that constrain frame-rate, integration time, and color sensing patterns. In this paper, we pr ...

2019

Small Variance Asymptotics for Non-Parametric Online Robot Learning

Sylvain Calinon, Ajay Kumar Tanwani

Small variance asymptotics is emerging as a useful technique for inference in large scale Bayesian non-parametric mixture models. This paper analyses the online learning of robot manipulation tasks with Bayesian non-parametric mixture models under small va ...

2019

A survey on policy search algorithms for learning robot controllers in a handful of trials

Sylvain Calinon

Most policy search algorithms require thousands of training episodes to find an effective policy, which is often infeasible with a physical robot. This survey article focuses on the extreme other end of the spectrum: how can a robot adapt with only a handf ...

2019

Learning Task Priorities from Demonstrations

Sylvain Calinon

As humanoid robots become increasingly popular, learning and control algorithms must take into account the new constraints and challenges inherent to these platforms, if we aim to fully exploit their potential. One of the most prominent of such aspects is ...

2019

Bayesian Gaussian mixture model for robotic policy imitation

Sylvain Calinon, Emmanuel Pignat

A common approach to learn robotic skills is to imitate a demonstrated policy. Due to the compounding of small errors and perturbations, this approach may let the robot leave the states in which the demonstrations were provided. This requires the considera ...

2019

Learning from demonstration for semi-autonomous teleoperation

Sylvain Calinon

Teleoperation in domains such as deep-sea or space often requires the completion of a set of recurrent tasks. We present a framework that uses a probabilistic approach to learn from demonstration models of manipulation tasks. We show how such a framework c ...

2019

A Brief Survey on the Role of Dimensionality Reduction in Manipulation Learning and Control

Sylvain Calinon

Bio-inspired designs are motivated by efficiency, adaptability and robustness of biological systems dynamic behaviors in complex environment. Despite progress in design, the lack of sensory-motor and learning capabilities is the main drawback of human-like ...

2018

Flexible Automation Driven by Demonstration: Leveraging Strategies that Simplify Robotics

Sylvain Calinon

How do I automate this task? This is a crucial question for production engineers. In classical industrial automation (think of a car factory) robots perform a small set of tasks for long periods of time. They were selected because their kinematic structure ...

2018

Dexterous Underwater Manipulation from Distant Onshore Locations

Sylvain Calinon, Ajay Kumar Tanwani

Underwater manipulation is a challenging problem. The state of the art is dominated by Remotely Operated Vehicles (ROV). ROV operations typically require an offshore crew consisting of at least an intendant, an operator, and a navigator. This crew often ha ...

2018

Programming by Demonstration for Shared Control with an Application in Teleoperation

Sylvain Calinon

Shared control strategies can improve task-performance in teleoperation. In such systems automation guides or corrects a human operator. The amount of correction or guidance that is provided is denoted the level-of-automation. As the variety of teleoperati ...

2018

Special issue on robot learning for human-robot collaboration

Sylvain Calinon

The goal of this special issue is to document and highlight recent progress in robot learning for human–robot collaboration (HRC), covering a diversity of articles that reflect the state-of-the-art in the field. Following an open call for papers, we receiv ...

2018

Improving the control of prosthetic hands with tactile sensing

Sylvain Calinon, Noémie Laure Gwendoline Jaquier

Despite recent advances in prostheses, intuitive and robust control of poly-articulated prosthetic hands remains an unsolved problem. The TACT-HAND project aims at providing hand amputees with improved dexterous capabilities by exploiting tactile sensing a ...

2018

An Approach for Imitation Learning on Riemannian Manifolds

Sylvain Calinon

In imitation learning, multivariate Gaussians are widely used to encode robot behaviors. Such approaches do not provide the ability to properly represent end-effector orientation, as the distance metric in the space of orientations is not Euclidean. In thi ...

2017

Learning adaptive dressing assistance from human demonstration

Sylvain Calinon, Emmanuel Pignat

For tasks such as dressing assistance, robots should be able to adapt to different user morphologies, preferences and requirements. We propose a programming by demonstration method to efficiently learn and adapt such skills. Our method encodes sensory info ...

Elsevier2017

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses

Sylvain Calinon, Noémie Laure Gwendoline Jaquier

Despite recent advances in prosthetics and assistive robotics in general, robust simultaneous and proportional control of dexterous prosthetic devices remains an unsolved problem, mainly because of inadequate sensorization. In this paper, we study the appl ...

2017

Learning Autonomous Behaviours for the Body of a Flexible Surgical Robot

Sylvain Calinon

This paper presents a novel strategy to learn a positional controller for the body of a flexible surgical manipulator used for minimally invasive surgery. The manipulator is developed within the STIFF-FLOP European project and is targeted for a laparoscopi ...

2017

Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration

Sylvain Calinon

Designed to safely share the same workspace as humans and assist them in various tasks, the new collaborative robots are targeting manufacturing and service applications that once were considered unattainable. The large diversity of tasks to carry out, the ...

2016

Learning Physical Collaborative Robot Behaviors from Human Demonstrations

Sylvain Calinon

Robots are becoming safe and smart enough to work alongside people not only on manufacturing production lines, but also in spaces such as houses, museums or hospitals. This can be significantly exploited in situations where a human needs the help of anothe ...

2016

Dexterous Undersea Interventions with Far Distance Onshore Supervision: the DexROV Project

Sylvain Calinon, Ajay Kumar Tanwani

The operation of a ROV requires significant off-shore dedicated manpower to handle and operate the robotic platform. In order to reduce the burden of operations, DexROV proposes to work out more cost effective and time efficient ROV operations, where manne ...

2016

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