Publications related to Dynamical system for learning the waveform and frequency of periodic signals - application to drumming

Exact Obstacle Avoidance for Robots in Complex and Dynamic Environments Using Local Modulation

Robots outside of the fenced factories have to deal with continuously changing environment, this requires fast and flexible modes of control. Planning methods or complex learning models can find optimal paths in complex surroundings, but they are computati ...

EPFL2024

Hybrid Flock - Formation Control Algorithms

Alcherio Martinoli, Cyrill Silvan Baumann, Jonas Perolini, Emna Tourki

Two prominent categories for achieving coordinated multirobot displacement are flocking and navigation in formation. Both categories have their own body of literature and characteristics, including their respective advantages and disadvantages. While typic ...

2022

Method for estimating synchrophasors during static and dynamic conditions

Mario Paolone, Asja Derviskadic, Paolo Romano

A method for performing synchrophasor estimation of an input signal , whereby the input signal is a sinusoidal power system voltage or current signal , comprising: a. Periodic ampling of a continuous time - domain waveform, consisting of a power system vol ...

2021

CoWriting Kazakh: Learning a New Script with a Robot

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal

In the Republic of Kazakhstan, the transition from Cyrillic to Latin alphabet raises challenges to training an entire population in writing the new script. This paper presents a CoWriting Kazakh system, an extension of the existing CoWriter system, aiming ...

Association for Computing Machinery2020

Graph Signal Processing for Machine Learning: A Review and New Perspectives

Pascal Frossard, Michael Bronstein, Laura Toni, Xiaowen Dong

The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains, such as networks and graphs, are one of the key questions in modern machine learning. Graph signal processing ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Force Adaptation in Contact Tasks with Dynamical Systems

Aude Billard, Mahdi Khoramshahi, Walid Amanhoud

In many tasks such as finishing operations, achieving accurate force tracking is essential. However, uncertainties in the robot dynamics and the environment limit the force tracking accuracy. Learning a compensation model for these uncertainties to reduce ...

2020

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

Nadia Barbara Figueroa Fernandez

Humans have a remarkable way of learning, adapting and mastering new manipulation tasks. With the current advances in Machine Learning (ML), the promise of having robots with such capabilities seems to be on the cusp of reality. Transferring human-level sk ...

EPFL2019

From human-intention recognition to compliant control using dynamical systems in physical human-robot interaction

Mahdi Khoramshahi

Human ability to coordinate one's actions with other individuals to perform a task together is fascinating. For example, we coordinate our action with others when we carry a heavy object or when we construct a piece of furniture. Capabilities such as (1) f ...

EPFL2019

A Dynamical System Approach to Motion and Force Generation in Contact Tasks

Aude Billard, Mahdi Khoramshahi, Walid Amanhoud

Many tasks require the robot to enter in contact with surfaces, be it to take support, to polish or to grasp an object. It is crucial that the robot controls forces both upon making contact and while in contact. While many solutions exist to control for co ...

Robotics: Science and Systems (RSS)2019

A Dynamical System Approach to Motion and Force Generation in Contact Tasks

Aude Billard, Mahdi Khoramshahi, Walid Amanhoud

Many tasks require the robot to enter in contact with surfaces, be it to take support, to polish or to grasp an object. It is crucial that the robot controls forces both upon making contact and while in contact. While many solutions exist to control for co ...

MIT PRESS2019

Dynamical system for learning the waveform and frequency of periodic signals - application to drumming

Exact Obstacle Avoidance for Robots in Complex and Dynamic Environments Using Local Modulation

Hybrid Flock - Formation Control Algorithms

Method for estimating synchrophasors during static and dynamic conditions

CoWriting Kazakh: Learning a New Script with a Robot

Graph Signal Processing for Machine Learning: A Review and New Perspectives

Force Adaptation in Contact Tasks with Dynamical Systems

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

From human-intention recognition to compliant control using dynamical systems in physical human-robot interaction

A Dynamical System Approach to Motion and Force Generation in Contact Tasks

A Dynamical System Approach to Motion and Force Generation in Contact Tasks

Graph Chatbot

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Force Adaptation in Contact Tasks with Dynamical Systems

Graph Signal Processing for Machine Learning: A Review and New Perspectives

Method for estimating synchrophasors during static and dynamic conditions

Hybrid Flock - Formation Control Algorithms

Exact Obstacle Avoidance for Robots in Complex and Dynamic Environments Using Local Modulation

CoWriting Kazakh: Learning a New Script with a Robot

From High-Level to Low-Level Robot Learning of Complex Tasks: Leveraging Priors, Metrics and Dynamical Systems

From human-intention recognition to compliant control using dynamical systems in physical human-robot interaction

A Dynamical System Approach to Motion and Force Generation in Contact Tasks

A Dynamical System Approach to Motion and Force Generation in Contact Tasks