1,720,973 research outputs found
ENOTRIA Dataset
No full textENOTRIA is a dataset of around 2.8 M images extracted from the game "Enotria: The Last Song" for designing and developing machine learning algorithms for research purposes. The dataset can be downloaded on Zenodo at the following link: https://zenodo.org/records/14288178
RoboSense25-DashGrasp Dataset
No full textThis dataset comprises data collected by 30 participants during a robotic experiment with and without using the virtual dashboard. Thus, it integrates into the RoboSense25 Dataset and contains task execution times, operator level of fatigue declarations, and task success rates for statistical analysis
Object and Distance Processing System (ODPS)
No full textRGB-D cameras were utilized by Object and Distance Processing System (ODPS) software, which gathered spatial information about the mobile robot. The system is based on a process running on a personal computer that sends UDP (User Datagram Protocol) packets within the Local Area Network (LAN) through a wireless router, where a robot and a haptic-actuated glove are also connected. This system also employed a deep neural network model named YOLOv11x to detect objects and calculate their distance from the robot
Intelligent Processing System (IPS)
No full textThe Intelligent Processing System (IPS) integrates deep learning models (YOLOv11x for object detection and MobileNetV3 for affordance segmentation) for robotic teleoperation tasks. The system is implemented on a UR5 with a RealSense D455 RGB-D camera
SullyVRStereo
No full textSullyVRStereo is an innovative virtual reality application designed to provide an immersive and collaborative experience in robot manipulation. The application, installed directly on the VR visor, projects real-time images captured by cameras mounted on a follower robot. This allows the leader, through a master device, to control the robot intuitively and naturally, as if it were physically present in the work environment
VERA: A Video Emotion Response Analysis Platform for Research Studies
No full textVERA (Video Emotion Response Analysis) is an advanced software platform designed to use multimedia content. Thanks to an intuitive and modular interface, VERA allows users to observe any video content, manage controlled viewing sessions, and simultaneously record audio, video, and further information by participants.
The software was developed with contributions from Prof. Beatrice Lazzerini and Prof. Cosimo Antonio Prete of the University of Pisa
Robot Motion Dataset
No full textThe Robot Motion Dataset contains experimental data from a study investigating human-robot interaction with a leader who used a teleoperated follower robot. So, thirty participants controlled the TFR wearing a virtual reality (VR) headset and using pedals control. Thus, the dataset includes sensor data such as accelerometer, gyroscope, trajectory, objects' distance, data questionnaires, etc. The experimental protocol was reviewed and approved by the Joint Ethics Committee of the Scuola Normale Superiore and Sant'Anna School of Advanced Studies (authorization no. 52/2024 on december 20, 2024). The dataset can be downloaded on Zenodo
Elicitation of Anxiety Without Time Pressure and Its Detection Using Physiological Signals and Artificial Intelligence: A Proof of Concept
No full textStress can be defined as a state of anxiety (or mental tension) caused by a particular situation. Everybody experiences stress to some level, but how we respond to stress significantly affects our well-being. Various events generate anxiety that leads to stress. For example, not having enough time to complete a task or being late are situations where anxiety (and stress) depends on a temporal factor: the scarcity of time. But people also slide into anxiety as they live in a condition that causes them to be tense, independently of time. The studies eliciting anxiety in laboratory settings have less widely considered this variant. This paper presents a proof of concept (PoC) that investigated the possibility of stimulating anxiety without time pressure through a purposely edited horror movie trailer, giving new insights into the emotional experiences evoked by controlled audiovisual stimuli. The PoC comprised an AI-based classifier to detect a person’s emotion among anxiety, relaxation, and none of the two based on the galvanic skin response (GSR), photoplethysmogram (PPG), and heart rate (HR), achieving an accuracy higher than 95%. Key application areas include media and marketing, and psychology. Media producers could improve their content to capture the audience better; psychologists could create tailored exposure experiences to promote gradual desensitization to stress triggers
Grasping Task in Teleoperation: Impact of Virtual Dashboard on Task Quality and Effectiveness
No full textThis research study investigates the impact of a virtual dashboard on the quality of task execution in robotic teleoperation. More specifically, this study investigates how a virtual dashboard improves user awareness and grasp precision in a teleoperated pick-and-place task by providing users with critical information in real-time. An experiment was conducted with 30 participants in a robotic teleoperated task to measure their task performance in two different experimental conditions: a control group used conventional interfaces, and an experimental group utilized the virtual dashboard with additional information. Research findings indicate that integrating a virtual dashboard improves grasping accuracy, reduces user fatigue, and speeds up task completion, thereby improving task effectiveness and the quality of the experience
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