Gentiane Venture

Gentiane Venture
Tokyo University of Agriculture and Technology | TUAT · Department of Mechanical Systems Engineering (School of Engineering)

PhD

About

275
Publications
38,803
Reads
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2,129
Citations
Citations since 2016
138 Research Items
1601 Citations
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2016201720182019202020212022050100150200250300
2016201720182019202020212022050100150200250300
Introduction
Gentiane Venture is a French Roboticist working in academia in Tokyo. Her research tries to encompass human body dynamics into robot behavior design to achieve personalized human robot interaction. Her work is highly interdisciplinary and she collaborates with psychologists, physiologists, philosophers, neuro-scientists, designers…
Additional affiliations
July 2019 - December 2020
Tokyo University of Agriculture and Technology
Position
  • Professor (Full)
April 2018 - present
National Institute of Advanced Industrial Science and Technology
Position
  • Fellow
October 2012 - March 2018
National Institute of Advanced Industrial Science and Technology
Position
  • Researcher

Publications

Publications (275)
Article
Full-text available
In human–robot interaction (HRI), sharing emotions between the human and robot is one of the most important elements. However, market trends suggest that being able to perform productive tasks is more important than being able to express emotions in order for robots to be more accepted by society. In this study, we introduce a method of conveying e...
Article
Full-text available
Yōkobo is a robject; it was designed using the principle of slow technology and it aims to strengthen the bond between members (e.g., a couple). It greets people at the entrance and mirrors their interactions and the environment around them. It was constructed by applying the notions of a human–robot–human interaction. Created by joint work between...
Chapter
In this work-in-progress paper, we describe the architecture of a system that can automatically sense an online learner’s situation and context (affective-cognitive state, fatigue, cognitive load, and physical environment), analyse the needs for intervention, and react through an intelligent agent to shape the learner’s self-regulated learning stra...
Article
Full-text available
Motor rehabilitation is used to improve motor control skills to improve the patient’s quality of life. Regular adjustments based on the effect of therapy are necessary, but this can be time-consuming for the clinician. This study proposes to use an efficient tool for high-dimensional data by considering a deep learning approach for dimensionality r...
Conference Paper
Feeling together and at the same time feeling free while sharing the same roof is a balance that newly retired couples try to reach. Indeed the beginning of retirement is complex, and sometimes, even when both spouses find themselves at home together, some spouses could experience a feeling of loneliness. To respond to this insight, we introduce th...
Article
Full-text available
Socially interactive robots are being introduced in daily life as common objects that facilitate people’s life. A wide range of possibilities are offered and the trends show a growing market. In this survey 40 commercial robots were analysed to evaluate the state of the art from a design space perspective, aspects like embodiment, task, social role...
Article
Industry 5.0 constitutes a change of paradigm where the increase of economic benefits caused by a never-ending increment of production is no longer the only priority. Instead, Industry 5.0 addresses social and planetary challenges caused or neglected in Industry 4.0 and below. One relevant the most relevant challenges of Industry 5.0 is the design...
Article
Full-text available
Robotic feet play a fundamental role in the walking performance of a biped robot. Feet are essential to maintain dynamic stability and to propel the body during walking. They may ensure stability on uneven terrains. Yet, complex feet are seldom used on humanoids. This paper surveys 36 types of robotic feet we found in the literature. We classified...
Article
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Unanticipated physical actions from the robot on humans [active physical human–robot interaction (pHRI)] may be inevitable with the deployment of robots in human-populated environments. However, it is still unclear how humans would perceive such actions and how the robot should execute them in a physically and psychologically safe manner. The objec...
Article
Due to the social and technological background, the number of robots that can coexist with humans and perform autonomous navigation is increasing. In order to facilitate the implementation of robots in society, it is necessary to increase the comfort level of autonomous navigation. However, conventional autonomous navigation without human recogniti...
Article
Full-text available
In the future, in a society where robots and humans live together, HRI is an important field of research. While most human–robot-interaction (HRI) studies focus on appearance and dialogue, touch-communication has not been the focus of many studies despite the importance of its role in human–human communication. This paper investigates how and where...
Conference Paper
Full-text available
We present and validate a method to detect surface cracks with visual and tactile sensing. The proposed algorithm localises cracks in remote environments through videos/photos taken by an on-board robot camera. The identified areas of interest are then explored by a robot with a tactile sensor. Faster R-CNN object detection is used for identifying...
Article
Full-text available
This article provides a systematic review of research articles applying Kansei / Affective Engineering methodologies for the development of Social and Service Robots. We describe relevant concepts and main types of Kansei Engineering methodologies to assist new researchers and practitioners interested in the area. We also summarize the main objecti...
Article
Full-text available
This study investigates the possibility of estimating lower-limb joint kinematics and meaningful performance indexes for physiotherapists, during gait on a treadmill based on data collected from a sparse placement of new Visual Inertial Measurement Units (VIMU) and the use of an Extended Kalman Filter (EKF). The proposed EKF takes advantage of the...
Article
Full-text available
Fatigue increases the risk of injury during sports training and rehabilitation. Early detection of fatigue during exercises would help adapt the training in order to prevent over-training and injury. This study lays the foundation for a data-driven model to automatically predict the onset of fatigue and quantify consequent fatigue changes using a f...
Article
Full-text available
Studying interactions of children with humanoid robots in familiar spaces in natural contexts has become a key issue for social robotics. To fill this need, we conducted several Child–Robot Interaction (CRI) events with the Pepper robot in Polish and Japanese kindergartens. In this paper, we explore the role of trust and expectations towards the ro...
Article
Full-text available
In an effort towards the democratization of Robotics, this article presents a novel End-User Development framework called Robot Interfaces From Zero Experience (RIZE). The framework provides a set of useful software tools for the creation of robot-oriented software architectures and programming interfaces, as well as the modeling and execution of r...
Preprint
Full-text available
Robots are increasingly being deployed in public spaces. However, the general population rarely has the opportunity to nominate what they would prefer or expect a robot to do in these contexts. Since most people have little or no experience interacting with a robot, it is not surprising that robots deployed in the real world may fail to gain accept...
Article
Full-text available
Analysis of human gait to detect walking abnormality has recently gained growing interest. It carries profound impact in medical diagnosis and rehabilitation engineering. In this study we have explored different regression modeling techniques to detect pathological gait. Inexpensive Microsoft Kinect (V2) sensor was used for data acquisition. Compar...
Book
This book highlights the latest innovations and applications in robotics, as presented by leading international researchers and engineers at the ROMANSY 2020, the 23rd CISM IFToMM Symposium on Theory and Practice of Robots and Manipulators. The ROMANSY symposium is the first established conference that focuses on robotics theory and research, rathe...
Chapter
Clinical gait analysis using electromyography (EMG) sensor is an important area of research to explore in the field of healthcare applications. Various expensive EMG sensors are available to record and analyze gait data for abnormality detection. A novel approach with cost-effective EMG sensor has been discussed to provide a possible solution for g...
Chapter
Motion sensors are crucial for clinical gait analysis. Existing high-end gold standard sensors are expensive and nonaffordable for most of the clinics. As an alternative, low-cost sensor-based approaches are now becoming popular. These sensors have their own advantages and limitations. This chapter presents an elaborate discussion on some popular l...
Chapter
Pathological gait pattern assessment using wearable sensors remains a major challenge in clinical gait analysis and rehabilitation field. In this chapter, we discuss step-by-step process of collection and processing of inertial sensor signals and modeling with machine learning techniques to automate the process of neurological disorder identificati...
Chapter
Gait assessment tools help the clinicians to analyze the walking pattern by visual inspection. They can monitor the progression of gait and extract the targeted features. Automatic analysis of the extracted features is also possible through these tools. Such applications constructed using low-cost sensors are of high need.
Chapter
Clinicians assess gait data using different measurement techniques before reporting the present status of a patient. Those assessment techniques can be broadly divided into groups; statistical and computational intelligence. Both of the methods come up with their advantages and disadvantages. This chapter briefly discusses those aspects.
Chapter
Musculoskeletal injuries are one of the most common injuries that can lead to long-term disabilities. In this chapter, along with brief descriptions of the major musculoskeletal injuries in the lower limb muscles and about the various causes and treatments of these musculoskeletal injuries, we highlight the motion sensor-based solutions for prevent...
Chapter
To make cost-effective sensors agreeable for clinical use, it is important to validate the sensors against standard motion sensors used for gait assessment. This chapter discusses the validation studies present in literature for low-cost sensors such as Kinect, IMU. Most of these validations are carried out with respect to three-dimensional motion...
Chapter
Different types of therapeutic interventions are provided to patients to improve their motor functions. Activity of daily life gets improved by adopting these interventions at regular intervals. Different artificial environments can be created using Kinect for these interventions. Recently, some low-cost wearable sensor-based approaches are observe...
Chapter
Segmentation of a gait cycle is an important issue to perform sub-phase wise assessment. It is performed by identifying some crucial gait events. Generally, manual annotation is followed in clinics to detect events. But, it is laborious and prone to error. On contrary, machine intelligence–based automatic event detection systems are gradually becom...
Chapter
Detection of pathological gait and analyze it quantitatively is vital for different clinical purposes. Moreover, a low-cost solution on this problem is an urgent need for the modern society. This chapter provides a detail description of the existing methodologies for gait diagnosis, especially using affordable sensors.
Conference Paper
Full-text available
It is highly likely that classrooms of the future will feature robots to assist the human teachers. Tutor robots will be valued for their capacity to motivate learners and to provide affective support during learning activities, which will require from them to be able to understand the students' affects and behaviours, and to respond to these throu...
Article
The population working in agriculture in Japan is decreasing, and the aging of the population is progressing. In order to reduce injuries caused by harsh labor such as agriculture, this research investigates the actual posture of farmers and proposes the development of a traction power assistive suit with wire that can be used when carrying heavy o...
Article
With the development of technology, opportunities for humans and autonomous mobile robots to coexist in various forms are increasing regardless of the fields. Under these circumstances, needs to improve the comfort of coexisting with autonomous mobile robots arise. However, conventional autonomous navigation that do not recognize humans include ele...
Article
Due to globalization, the number of businesses between foreign countries has increased. Because of this, many companies are promoting telework as a way to work in different locations around the world. As a part of telework, telepresence robots are expected to be used more widely. However, commercial telepresence robots now available, have no arms o...
Conference Paper
Full-text available
Social robots acting as stand-ins for speakers or teachers would enable them to reach large audiences from anywhere in the world, increasing the options for distant learning. They would need to be endowed with effective public speaking skills though, in order to deliver their message, entertain, and maintain audience attention. In this paper, we re...
Chapter
People are increasingly encountering robots in public spaces, but they rarely have input into how such technology is conceived or deployed. To familiarise and engage the general public with new robot technology, we present a novel co-design workshop methodology with a three-phased structure: open discussion, participatory prototyping, and follow-up...
Chapter
This article presents a novel approach for interfacing MATLAB and Octave programs with Robotics and Internet of Things (IoT) software modules. The proposed library, developed in Java, is part of NEP, an open and cross-platform distributed robotic framework. This library is a high-performance and cross-platform alternative that enables developers to...
Chapter
Inverse Optimal Control (IOC) is a useful technique to estimate the importance of cost functions used to optimally control a system by observing its motion. The computational cost of IOC increases with the complexity of the system. This study aims at analyzing a complex multiple joint motion and estimating weights of the cost functions easily in a...
Article
Full-text available
In future robotic applications in environments such as nursing houses, construction sites, private homes, etc, robots might need to take unpredicted physical actions according to the state of the users to overcome possible human errors. Referring to these actions as active physical human-robot interactions ( active pHRI ), in this letter, the goal...
Article
Full-text available
Service robots are increasingly common. Studies show that the appearance and behavior of robots influence users’ impressions. Developers need to know whether users’ impressions of robots are in accordance with the purpose they designed or not. To assess such impressions, it is necessary for participants to meet robots in a real-world setting. Such...
Article
Robots are becoming interactive and robust enough to be adopted outside laboratories and in industrial scenarios as well as interacting with humans in social activities. However, the design of engaging robot-based applications requires the availability of usable, flexible and accessible development frameworks, which can be adopted and mastered by r...
Article
Full-text available
The majority of humanoid robots adopt flat feet, a choice that can limit their performance when maneuvering over uneven terrains. Recently, a soft robotic foot designed to adapt to the ground was proposed to overcome part of these limitations. This paper presents the results of testing two such feet on the humanoid robot HRP-4, and compares them to...
Article
Full-text available
This article presents the novel Python, C# and JavaScript libraries of Node Primitives (NEP), a high-level, open, distributed, and component-based framework designed to enable easy development of cross-platform software architectures. NEP is built on top of low-level, high-performance and robust sockets libraries (ZeroMQ and Nanomsg) and robot midd...
Article
Full-text available
Human activity recognition is an important and difficult topic to study because of the important variability between tasks repeated several times by a subject and between subjects. This work is motivated by providing time-series signal classification and a robust validation and test approaches. This study proposes to classify 60 signs from the Amer...
Article
The ability to visualize and interpret high dimensional time-series data will be critical as wearable and other sensors are adopted in rehabilitation protocols. This study proposes a latent space representation of high dimensional time-series data for data visualization. For that purpose, a deep learning model called Adversarial AutoEncoder (AAE) i...
Article
Assessment of gait parameters is commonly performed through the high-end motion tracking systems, which limits the measurement to sophisticated laboratory settings due to its excessive cost. Recently, Microsoft Kinect (v2) sensor has become popular in clinical gait analysis due to its low-cost. But, determining the accuracy of its RGB-D image data...
Chapter
Full-text available
In this chapter it will be discussed the capability of using motion recognition in order to predict the human emotion. Considered as a behavioral hidden biometrics approach, a specific system has been developed for this purpose wherein, several Machine-Learning approaches are considered, such as SVM, RF, MLP and KNN for classification and SVR, RFR,...
Article
Telepresence robots are robots intended to compensate for non-verbal information during telecommunication. However, current telepresence robots don’t have sufficient functionality to send gesture information, within non-verbal information. This research aims to develop a communication system that recognizes the motion of the human and supplements t...
Article
Modern robots are required to interact with humans and changing environments in the real-world as well as to perform different works in the factory. However, the environment changes unpredictably according to the time and actions taken by humans and robots, and humans make different decisions in various situations. To solve these problems with more...
Article
“Too much sitting” is a severe problem in the world. It causes health isuues from low back pain to heavy disease. This research aims at developing- a supporting system for health when people are sitting. For this study, the vital data was collected from the wheelchair ridden patient to analyze and detect pain using a prediction model. A two classes...
Article
The market size of service robots in Japan is expanding gradually. Along with that, “co-botics”, the development of robot technology sharing work space with humans, is progress rapidly. It may be possible for humans and robots to do collaborative tasks like carrying objects in industrial or home environment. The proposal of this research is to deve...
Article
Robots that have different forms and capabilities are used in a wide variety of situations; however, one common point to all robots interacting with humans is their ability to communicate with them. In addition to verbal communication or purely communicative movements, robots can also use their embodiment to generate expressive movements while achi...
Article
Full-text available
44th Congress of the Société de Biomécanique, Poitiers, France, 28/10/2019 - 30/10/2019