Publication

Force feedback facilitates multisensory integration during robotic tool use

Related publications (37)

Liquid Metal-Based Sensor Skin Enabling Haptic Perception of Softness

Stéphanie Lacour, Ivan Furfaro, Emilio Fernández Lavado, Haotian Chen

Haptic perception of softness is a unique feature of the human skin that relies on the concurrent measurements of the lateral deformation and compression of the skin during object manipulation. This is challenging to implement in robotics because of combin ...

2023

Robotic Assembly of Integrally-Attached Timber Plate Structures: From Computational Design to Automated Construction

Nicolas Henry Pierre Louis Rogeau

The digitization of timber construction, the emergence of engineered wood products, and the urgent need to drastically reduce buildings' environmental impact have given a rebirth to wood as a construction material. On the one hand, increasing the use of ti ...

EPFL2023

Design considerations for robotically assembled through-tenon timber joints

Yves Weinand, Julien Gamerro, Nicolas Henry Pierre Louis Rogeau, Pierre Latteur

This research investigates the robotic assembly of timber structures connected by wood–wood connections. As the digitization of the timber construction sector progresses, digital tools, such as industrial robotic arms and Computer Numerical Control machine ...

2022

Foot-Interfaces Control and Human-Robot Interaction in Four-Handed Manipulation

Jacob Hernandez Sanchez

Humans have a great capacity to perform complex manipulations. However, there are many tasks for which two hands are not enough, such as in surgery. For such tasks, a dyad of people is required. However, when not used to work together, a dyad collaboration ...

EPFL2022

Comprehensive Interactive Soft Interfaces for Wearable Tactile Feedback

Harshal Arun Sonar

As the field of robotics continues to grow outside the manufacturing environment into our daily lives, the interactions between humans and robots are increasingly becoming close and dynamic. This type of environment requires robots to be less rigid, multi- ...

EPFL2021

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

Crossmodal Congruency Enhances Performance of Healthy Older Adults in Visual-Tactile Pattern Matching

Friedhelm Christoph Hummel

One of the pivotal challenges of aging is to maintain independence in the activities of daily life. In order to adapt to changes in the environment, it is crucial to continuously process and accurately combine simultaneous input from different sensory syst ...

2020

Congruency effects can compensate for deficits of healthy older adults in crossmodal integration

Friedhelm Christoph Hummel

2019

Optimal integration of intraneural somatosensory feedback with visual information: a single-case study

Silvestro Micera, Ivo Strauss, Giacomo Valle, Francesco Iberite

Providing somatosensory feedback to amputees is a long-standing objective in prosthesis research. Recently, implantable neural interfaces have yielded promising results in this direction. There is now considerable evidence that the nervous system integrate ...

2019

Enhanced audio-tactile multisensory interaction in a peripersonal task after echolocation

Andrea Serino

Peripersonal space (PPS) is created by a multisensory interaction between different sensory modalities and can be modified by experience. In this article, we investigated whether an auditory training, inside the peripersonal space area, can modify the PPS ...

Springer2019

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.