Results 31 to 40 of about 31,683 (153)

Toward an Attentive Robotic Architecture: Learning-Based Mutual Gaze Estimation in Human–Robot Interaction

Frontiers in Robotics and AI, 2022
Social robotics is an emerging field that is expected to grow rapidly in the near future. In fact, it is increasingly more frequent to have robots that operate in close proximity with humans or even collaborate with them in joint tasks.
Maria Lombardi, Elisa Maiettini, Davide De Tommaso, Agnieszka Wykowska, Lorenzo Natale   +4 more
doaj   +1 more source

Can humanoid robots be used as a cognitive offloading tool?

Cognitive Research
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task.
Shari Cavicchi, Abdulaziz Abubshait, Giulia Siri, Magda Mustile, Francesca Ciardo   +4 more
doaj   +1 more source

Enhancing theory of mind in autism through humanoid robot interaction in a randomized controlled trial

Scientific Reports
Autism Spectrum Disorder presents significant challenges in social cognition, particularly in understanding others’ thoughts, emotions, and intentions. Traditional interventions often rely on role-playing games with human therapists or inanimate objects,
Davide Ghiglino, Federica Floris, Davide De Tommaso, Nicola Severino Russi, Alessia Frulli, Silvia Moretti, Agnieszka Wykowska   +6 more
doaj   +1 more source

Together We can Figure It out: Groups Find Hospitality Robots Easier to Use and Interact With Them More than Individuals

Frontiers in Robotics and AI, 2021
As robots are becoming more prevalent and entering hospitality settings, understanding how different configurations of individuals and groups interact with them becomes increasingly important for catering to various people.
Harrison Preusse, Rebecca Skulsky, Marlena R. Fraune, Betsy Bender Stringam   +3 more
doaj   +1 more source

Exploring a GPT-based large language model for variable autonomy in a VR-based human-robot teaming simulation

Frontiers in Robotics and AI
In a rapidly evolving digital landscape autonomous tools and robots are becoming commonplace. Recognizing the significance of this development, this paper explores the integration of Large Language Models (LLMs) like Generative pre-trained transformer ...
Younes Lakhnati, Max Pascher, Max Pascher, Jens Gerken   +3 more
doaj   +1 more source

Stability of value perception: minimal influence of framing on moral attributions to a humanoid robot

Scientific Reports
As robots are becoming collaborators in various domains, understanding if humans perceive them as moral and intentional agents is pivotal. This study investigated the malleability of human attributions of value alignment and intentionality to a humanoid ...
Serena Marchesi, Kinga Ciupińska, Davide De Tommaso, Agnieszka Wykowska   +3 more
doaj   +1 more source

Color‐Customizable, Stretchable, Self‐Healable and Degradable Ionic Gel for Variable Human‐Motion Detection via Strain, Pressure, and Torsion

Advanced Materials Interfaces, 2022
Recently, flexible sensors have attracted great interest for their promising application in wearable electronics. However, previous mechanical sensors are typically limited to detecting one type of stimulus and monotonous in color, which are not able to ...
Peng Wang, Guoxian Li, Wei Yu, Chuizhou Meng, Shijie Guo   +4 more
doaj   +1 more source

Biomechanical and Physiological Evaluation of Biologically-Inspired Hip Assistance With Belt-Type Soft Exosuits

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Hip-assisted soft exosuits have been reported for their effect on reducing the metabolic power of human walking. Currently, most studies focus on uni-directional assistance (HF: hip flexion, or HE: hip extension). This paper investigates the effect of bi-
Qiang Chen, Shijie Guo, Jing Wang, Jiaxin Wang, Dan Zhang, Shanhai Jin   +5 more
doaj   +1 more source

A recurrent reinforcement learning approach applicable to highly uncertain environments

International Journal of Advanced Robotic Systems, 2020
Reinforcement learning has been a promising approach in control and robotics since data-driven learning leads to non-necessity of engineering knowledge. However, it usually requires many interactions with environments to train a controller.
Yang Li, Shijie Guo, Lishuang Zhu, Toshiharu Mukai, Zhongxue Gan   +4 more
doaj   +1 more source

Child-Centric Robot Dialogue Systems: Fine-Tuning Large Language Models for Better Utterance Understanding and Interaction

Sensors
Dialogue systems must understand children’s utterance intentions by considering their unique linguistic characteristics, such as syntactic incompleteness, pronunciation inaccuracies, and creative expressions, to enable natural conversational engagement ...
Da-Young Kim, Hyo Jeong Lym, Hanna Lee, Ye Jun Lee, Juhyun Kim, Min-Gyu Kim, Yunju Baek   +6 more
doaj   +1 more source