.png){kind=icon}
返回
A Bayesian framework for learning proactive robot behaviour in assistive tasks
.png){kind=icon}
OA
AI
DOI：10.1007/s11257-024-09421-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Socially assistive robots represent a promising tool in assistive contexts for improving people's quality of life and well-being through social, emotional, cognitive, and physical support. However, the effectiveness of interactions heavily relies on the robots' ability to adapt to the needs of the assisted individuals and to offer support proactively, before it is explicitly requested. Previous work has primarily focused on defining the actions the robot should perform, rather than considering when to act and how confident it should be in a given situation. To address this gap, this paper introduces a new data-driven framework that involves a learning pipeline, consisting of two phases, with the ultimate goal of training an algorithm based on Influence Diagrams. The proposed assistance scenario involves a sequential memory game, where the robot autonomously learns what assistance to provide when to intervene, and with what confidence to take control. The results from a user study showed that the proactive behaviour of the robot had a positive impact on the users' game performance. Users obtained higher scores, made fewer mistakes, and requested less assistance from the robot. The study also highlighted the robot's ability to provide assistance tailored to users' specific needs and anticipate their requests.
Keyword:
Assistive robotics
Proactive behaviour
Influence Diagrams
期刊
U
IF:
3.5
论文数:
535
被引数:
1.7K
机构
引用论文
Effect of changing electronic states of molecules on frequency domain of graphene FETs分子电子态变化对石墨烯FETs频域的影响
.png){kind=icon}
PREAI
分享收藏Performance Analysis of Inter-satellite Optical Wireless Communication (IsOWC) System with Multiple Transmitters/Receivers多发射/接收器星间光无线通信(IsOWC)系统的性能分析
OAAI
OAAI分享收藏1H LF‐NMR Energy Relaxation Time Characterization of the Chemical and Morphological Structure of PUFA‐Rich Linseed Oil During Oxidation With and Without Antioxidants1H低场核磁共振弛豫时间对氧化过程中富含PUFA亚麻油的化学和形态结构的表征（有和无抗氧化剂）
PREAI
分享收藏分享收藏
查看更多内容