Publications related to Telerobotics

Shared Intelligence for Robot Teleoperation via BMI

This article proposes a novel shared intelligence system for brain-machine interface (BMI) teleoperated mobile robots where user's intention and robot's intelligence are concurrent elements equally participating in the decision process. We designed the sys ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation

Dario Floreano, Fabrizio Schiano, Matteo Macchini, Manana Lortkipanidze

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Body-Machine Interfaces (BoMI) represent a promising alternative to standard c ...

2021

Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics

Dario Floreano, Fabrizio Schiano, Matteo Macchini

Human-Robot Interfaces (HRIs) represent a crucial component in telerobotic systems. Body-Machine Interfaces (BoMIs) based on body motion can feel more intuitive than standard HRIs for naive users as they leverage humans’ natural control capability over the ...

2021

Personalized Body-Machine Interfaces for Advanced Human-Robot Interaction

Matteo Macchini

Robotic systems are becoming more and more pervasive in modern industrial, scientific and personal activities through recent years and will play a fundamental role in the future society. Despite their increasing level of automation, teleoperation is still ...

EPFL2021

Control of Contact Tasks in Autonomous and Human-Robot Collaborative Scenarios: A Dynamical System Approach

Walid Amanhoud

Robotic systems are more and more present in our daily life. Robots became indeed more economical, easy to program, safe and collaborative in their interaction with humans, versatile in performing different tasks and adaptive towards changes in the environ ...

EPFL2021

Addressable Acoustic Actuation of 3D Printed Soft Robotic Microsystems

Mahmut Selman Sakar, Murat Kaynak, Pietro Luciano Jakobus Dirix

A design, manufacturing, and control methodology is presented for the transduction of ultrasound into frequency-selective actuation of multibody hydrogel mechanical systems. The modular design of compliant mechanisms is compatible with direct laser writing ...

2020

Wearable and Self-Aware Machine Learning System for Online Cognitive Workload Monitoring and Drone Control

Fabio Isidoro Tiberio Dell'Agnola

The use of robots in search and rescue is gaining particular interest, but singular skills are required to ensure efficient deployments in real missions. To face this problem, there is a need to develop more intuitive control interfaces. Moreover, to ensur ...

EPFL2020

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

The current state and future outlook of rescue robotics

Dario Floreano, Auke Ijspeert, Roland Siegwart, Stefano Mintchev, Kamilo Andres Melo Becerra, Davide Scaramuzza, Tomislav Horvat, Marco Hutter

Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real‐world environments. Postdisaster scenarios are a particularly rel ...

2019

ROS-Neuro: A common middleware for BMI and robotics. The acquisition and recorder packages

José del Rocio Millán Ruiz, Luca Tonin, Stefano Tortora

Recent advances in the Brain-Machine Interface (BMI) and in the robotic fields allowed researchers to design a new generation of brain-actuated neuroprostheses to control a variety of assistive devices-ranging from powered wheelchairs to telepresence robot ...

IEEE2019

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Several approaches have been proposed to assist humans in co-manipulation and teleoperation tasks given demonstrated trajectories. However, these approaches are not applicable when the demonstrations are suboptimal or when the generalization capabilities o ...

2019

Designing Human Assisted Wireless Sensor and Robot Networks Using Probabilistic Model Checking

Mohammad Khaja Nazeeruddin

Wireless sensor networks (WSNs) have a wide variety of applications in environment monitoring (such as air pollution and fire detection), industrial operations (such as machine surveillance), and precision agriculture. It is an arduous task to manage a lar ...

2019

Haptic feedback perception and learning with cable-driven guidance in exosuit teleoperation of a simulated drone

Dario Floreano, Auke Ijspeert, Amy Roning Wu, Vivek Ramachandran, Carine Rognon

Robotics teleoperation enables human operators to control the movements of distally located robots. The development of new wearable interfaces as alternatives to hand-held controllers has created new modalities of control, which are more intuitive to use. ...

2019

Soft haptic device to render the sensation of flying like a drone

Dario Floreano, Carine Rognon

Haptic feedback located on the torso is proposed to enhance the state awareness of a user in virtual reality or during teleoperation while leaving the hands free for manipulation and communication. We provide haptic feedback on the torso by compressing a s ...

2019

Teleoperation with a wearable sensor system

David Atienza Alonso, Dario Floreano, Silvestro Micera, Stefano Mintchev, Jenifer Cléa Miehlbradt, Fiorenzo Artoni, Martina Coscia, Fabio Isidoro Tiberio Dell'Agnola, Alexandre Thierry Cherpillod

A method for remotely controlling an operated unmanned object, comprises defining of a set of control movements of an operator; selecting of minimal necessary signals to reliably acquire the operator's control movements; defining of a mapping of the contro ...

2019

Generative Models for Learning Robot Manipulation Skills from Humans

Ajay Kumar Tanwani

A long standing goal in artificial intelligence is to make robots seamlessly interact with humans in performing everyday manipulation skills. Learning from demonstrations or imitation learning provides a promising route to bridge this gap. In contrast to d ...

EPFL2018

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

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

Luca Tonin, Andrea Cimolato

This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve ...

IEEE COMPUTER SOC2018

HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer

Thanasis Hadzilacos

Teleoperation of an agricultural robotic system requires effective and efficient human-robot interaction. This paper investigates the usability of different interaction modes for agricultural robot teleoperation. Specifically, we examined the overall influ ...

Elsevier Sci Ltd2017

Adaptable Imaging Package for Remote Vehicles

David Andrew Barry, Jean-Luc Liardon

An easy-to-customize, low-cost solution for remote imagery is described. The system, denoted ImPROV (Imaging Package for Remote Vehicles), supports multiple cameras, live streaming, long-range encrypted communication using mobile networks, positioning and ...

2017