The design and observed effects of robot-performed manual gestures: A systematic review
Communication using manual (hand) gestures is considered a defining property of social
robots, and their physical embodiment and presence, therefore, we see a need for a …
robots, and their physical embodiment and presence, therefore, we see a need for a …
Nonverbal social behavior generation for social robots using end-to-end learning
Social robots facilitate improved human–robot interactions through nonverbal behaviors
such as handshakes or hugs. However, the traditional methods, which rely on precoded …
such as handshakes or hugs. However, the traditional methods, which rely on precoded …
A Process-Oriented Framework for Robot Imitation Learning in Human-Centered Interactive Tasks
Human-centered interactive robot tasks (eg, social greetings and cooperative dressing) are
a type of task where humans are involved in task dynamics and performance evaluation …
a type of task where humans are involved in task dynamics and performance evaluation …
Deep Learning-Based Adaptation of Robot Behaviour for Assistive Robotics
Robot behaviour models in socially assistive robotics are typically trained using high-level
features, such as a user's engagement, such that inaccuracies in the feature extraction can …
features, such as a user's engagement, such that inaccuracies in the feature extraction can …
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control
P Zhang, Z Hua, J Ding - arxiv preprint arxiv:2311.07822, 2023 - arxiv.org
The development of intelligent robots requires control policies that can handle dynamic
environments and evolving tasks. Pre-training reinforcement learning has emerged as an …
environments and evolving tasks. Pre-training reinforcement learning has emerged as an …
Real-time LSTM-RNN classification of floors with different friction coefficients for a walking humanoid robot wearing a 3D force system
In the study of biped humanoid robots it is crucial to achieve high precision and robustness
in locomotion. Humanoid robots that operate in real world environments need to be able to …
in locomotion. Humanoid robots that operate in real world environments need to be able to …
Adaptive behavior generation of social robots based on user behavior recognition
For natural human-robot interaction, social robots should understand a user behavior and
respond appropriately. In particular, when generating a behavior to interact with the user, it …
respond appropriately. In particular, when generating a behavior to interact with the user, it …
具备认知能力的行为模仿机器人系统
包振山, 丁义龙, 张文博 - 应用科学学报, 2022 - jas.shu.edu.cn
行为模仿是现代机器人展现其智能化水**的重要技术之一, 如何使机器人模仿出的行为动作与示
教者相似且自然一直是该领域的热门研究课题. 为此, 基于朴素方法设计了一种改进的机器人 …
教者相似且自然一直是该领域的热门研究课题. 为此, 基于朴素方法设计了一种改进的机器人 …
Le rapport des individus aux robots sociaux et son rôle dans le processus d'appropriation
M Kerekes - 2022 - theses.hal.science
Les robots sociaux sont une technologie émergente encore peu étudiée qui pourrait
contribuer au bien-être des individus. Notre thèse par essais adopte une épistémologie …
contribuer au bien-être des individus. Notre thèse par essais adopte une épistémologie …