The development of a Social Intelligence System based on artificial intelligence is one the cutting edge technologies in Assistive Robotics. Such systems need to create an empathic interaction with users; therefore, it os required include Emotion Recognition (ER) framework which has run, near real-time, together several other intelligent services. Most low-cost commercial robots, however, although more accessible by users and healthcare facilities, have balance costs effectiveness, resulting...

This paper shows and evaluates a novel approach to integrate non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) mentally drive telepresence robot. Controlling mobile device by using human brain signals might improve quality of life people suffering from severe physical disabilities or elderly who cannot move anymore. Thus, BCI user is able actively interact relatives friends located in different rooms thanks video streaming connection To facilitate control...

This article proposes a novel <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">shared intelligence</i> 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 to rely on xmlns:xlink="http://www.w3.org/1999/xlink">policies</i> guiding behavior according current situation. hypothesized that fusion of...

Abstract This work proposes an innovative people-aware navigation for telepresence robots in a populated environment based on the estimated inclination of people to interact and context information. The main novelty proposed shared intelligence is ability fuse remote operator’s commands with probability person-robot interaction—from both operator driving robot around it—and translate it into semi-autonomous approaching avoiding behaviors that are not coded priori but rather dynamically...

The growing interest in neurorobotics has led to a proliferation of heterogeneous neurophysiological-based applications controlling variety robotic devices. Although recent years have seen great advances this technology, the integration between human neural interfaces and robotics is still limited, making evident necessity creating standardized research framework bridging gap neuroscience robotics. This perspective paper presents Robot Operating System (ROS)-Neuro, an open-source for...

Abstract Background Brain-computer interfaces (BCIs) are systems capable of translating human brain patterns, measured through electroencephalography (EEG), into commands for an external device. Despite the great advances in machine learning solutions to enhance performance BCI decoders, translational impact this technology remains elusive. The reliability BCIs is often unsatisfactory end-users, limiting their application outside a laboratory environment. Methods We present analysis on data...

This paper aims at providing a preliminary description of ROS-Health, novel framework for neurorobotics based on the middleware Robot Operating System (ROS). The increased interest in field and proliferation several (neuro)physiological-based applications to control robotics devices made clear importance establish standardized research platform order facilitate distribution software, replication experimental results creation an unified community share manage code years. For this reason, we...

Recent advances in the Brain-Machine Interface (BMI) and robotic fields allowed researchers to design a new generation of brain-actuated neuroprostheses control variety assistive devices-ranging from powered wheelchairs telepresence robots arms. However, current interaction between BMI applications is still at its infancy. One reasons for limited integration these two technologies might be identified lack common research framework. In this scenario, ROS-Neuro may represent solution challenge...

In this paper we investigate how the human sex could influence perception of a social robot, supposed neutral and without applying possible manipulations. addition explore kind human-like actions people expect from robot. We analyse twelve typical stereotypically male, female tasks in order to evaluate interaction between participant's robot's assignment. More precisely study which them, consider robot able do, be useful for humans and/or they would like perform. regard, found that was...

This paper presents an observational preliminary study to examine the potentialities of humanoid social robots as non-pharmacological techniques for children. The aim is entertain patients, interact through voice, gestures and funny animations, in order decrease their negative feelings, and, at same time, promote positive emotions. exploited two different robots, Pepper Sanbot Elf, involved twenty-eight hospitalized age 3-19, assigned randomly one them. We analysed feelings patients terms...

As life expectancy increases, social and health assistance requires sustainable affordable solutions possibly usable from one's own domestic environment. In this article, we propose a transformer-based approach combined with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">task-planning</i> system enhanced AI sub-modules to run on low-cost telepresence robots in order support more advanced autonomous services. The proposed allows dynamically...

The identification of intentionally delivered commands is a challenge in Brain Computer Interfaces (BCIs) based on Sensory-Motor Rhythms (SMR). It fundamental importance that BCI systems controlling robotic device (i.e., upper limb prosthesis) are capable detecting if the user so called Intentional Non-Control (INC) state holding prosthesis given position). In this work, we propose novel approach entropy Electroencephalogram (EEG) signals to provide continuous motion intention. Results from...

Brain-Computer Interface systems have been widely studied and explored with adults demonstrating the possibility to achieve augmentative communication control directly from users' brain. Nevertheless, study exploitation of BCI in children seems be limited. In this paper we propose present for first time a Brain-Robot enabling mentally drive robot. With regards, exploit combination P300-based shared-autonomy approach reliable safe robot navigation. We tested our system pilot involving five...

The increasing interest of the research community in intertwined fields brain-machine interface (BMI) and robotics has led to development a variety brain-actuated devices, ranging from powered wheelchairs telepresence robots wearable exoskeletons. Nevertheless, most cases, interaction between two systems is still rudimentary, allowing only an unidirectional simple communication BMI robot that acts as mere passive end-effector. This limitation could be due lack common framework, facilitating...

In this paper, we present a proposed format for reporting human studies in Human-Robot Interaction (HRI). We call details which are often overlooked or left out of research papers due to space constraints, and propose standardized contain those paper appendices. Providing formalized study method will promote an increase replicability reproducibility HRI encourage meta-analysis review, ultimately increasing the generalizability validity research. Our draft is first step towards these goals,...