A companion robot for daily care of elders based on homeostasis

Chen, Yang; Lu, Ming-Jen; Tseng, Shih-Huan; Fu, Li-Chen

doi:10.23919/sice.2017.8105748

Cited by 25 publications

(16 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1 and 2). Mubin and colleagues [73] investigated the use of Pepper and Nao in public spaces, and a range of studies have evaluated Pepper's social acceptability in shopping malls, elderly care homes, remote classrooms, and as a customer service employee in a hotel lobby [24,[74][75][76]. While in these contexts a humanoid robot may be valuable, other developers have taken a different approach with the MiRo robot (Consequential Robotics).…”

Section: Interdisciplinary Tensionsmentioning

confidence: 99%

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

2021

View full text Add to dashboard Cite

Purpose of Review We provide an outlook on the definitions, laboratory research, and applications of social robots, with an aim to understand what makes a robot social—in the eyes of science and the general public. Recent Findings Social robots demonstrate their potential when deployed within contexts appropriate to their form and functions. Some examples include companions for the elderly and cognitively impaired individuals, robots within educational settings, and as tools to support cognitive and behavioural change interventions. Summary Science fiction has inspired us to conceive of a future with autonomous robots helping with every aspect of our daily lives, although the robots we are familiar with through film and literature remain a vision of the distant future. While there are still miles to go before robots become a regular feature within our social spaces, rapid progress in social robotics research, aided by the social sciences, is helping to move us closer to this reality.

show abstract

Section: Interdisciplinary Tensionsmentioning

confidence: 99%

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

2021

View full text Add to dashboard Cite

show abstract

“…Several studies only reported the self-rated questionnaire results [45] or user opinions [55]. There are also studies which do not include any evaluation, and only a short discussion regarding the learned policy [53,57,100,101] The cumulative collected reward over time is the most commonly used evaluation method. As learning progresses, the frequency of negative rewards is expected to decrease and positive rewards are expected to increase.…”

Section: Evaluation Methodsologiesmentioning

confidence: 99%

“…Q-learning, along with its different variations, is the most commonly used RL method in social robotics. The studies using Q-learning are [ 3 , 13 , 34 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 ]. These comprise studies using standard Q-learning [ 3 , 54 , 55 , 58 , 60 , 62 ], studies modify Q-learning for dealing with delayed reward [ 52 ], tuning the parameters for Q-learning such as

[ 13 , 34 , 52 ], dealing with decreasing human feedback over time [ 52 ], comparing their proposed algorithm with Q-learning [ 33 , 49 , 61 , 63 , 64 ], variation of Q-learning called Object Q-learning [ 64 , 65 , 66 ], combining Q-learning with fuzzy inference [ 67 ], SARSA [ 68 , 69 ], TD(

) [ 70 ], MAXQ [ 33 , 71 , 72 ], R-learning [ 32 ], and Deep Q-learning [ 35 , 36 , 73 , 74 ].…”

Section: Categorization Of Rl Approaches In Social Robotics Based mentioning

confidence: 99%

Reinforcement Learning Approaches in Social Robotics

Akalın

Loutfi

2021

Sensors

View full text Add to dashboard Cite

This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Since interaction is a key component in both reinforcement learning and social robotics, it can be a well-suited approach for real-world interactions with physically embodied social robots. The scope of the paper is focused particularly on studies that include social physical robots and real-world human-robot interactions with users. We present a thorough analysis of reinforcement learning approaches in social robotics. In addition to a survey, we categorize existent reinforcement learning approaches based on the used method and the design of the reward mechanisms. Moreover, since communication capability is a prominent feature of social robots, we discuss and group the papers based on the communication medium used for reward formulation. Considering the importance of designing the reward function, we also provide a categorization of the papers based on the nature of the reward. This categorization includes three major themes: interactive reinforcement learning, intrinsically motivated methods, and task performance-driven methods. The benefits and challenges of reinforcement learning in social robotics, evaluation methods of the papers regarding whether or not they use subjective and algorithmic measures, a discussion in the view of real-world reinforcement learning challenges and proposed solutions, the points that remain to be explored, including the approaches that have thus far received less attention is also given in the paper. Thus, this paper aims to become a starting point for researchers interested in using and applying reinforcement learning methods in this particular research field.

show abstract

“…Recently, the social robot Pepper, 7 another humanoid robot, also developed by Aldebaran, has been used to adapt its behavior to serve and meet the requirements of the elderly, while simultaneously maintaining its own system [50].…”

Section: General Purpose Social Robots Used For the Elderlymentioning

confidence: 99%

Mini: A New Social Robot for the Elderly

Salichs

Castro‐González

Salichs

et al. 2020

Int J of Soc Robotics

View full text Add to dashboard Cite

The unceasing aging of the population is leading to new problems in developed countries. Robots represent an opportunity to extend the period of independent living of the elderly as well as to ameliorate their economic burden and social problems. We present a new social robot, Mini, specifically designed to assist and accompany the elderly in their daily life either at home or in a nursing facility. Based on the results of several meetings with experts in this field, we have built a robot able to provide services in the areas of safety, entertainment, personal assistance and stimulation. Mini supports elders and caregivers in cognitive and mental tasks. We present the robot platform and describe the software architecture, particularly focussing on the human-robot interaction. We give in detail how the robot operates and the interrelation of the different modules of the robot in a real use case. In the last part of the paper, we evaluated how users perceive the robot. Participants reported interesting results in terms of usability, appearance, and satisfaction. This paper describes all aspects of the design and development of a new social robot that can be used by other researchers who face the multiple challenges of creating a new robotic platform for older people. Keywords Robots for elderly • Healthcare robotics • Human-robot interaction • HRI • Social robotics • Assistive robotics The research leading to these results has received funding from the projects: Development of social robots to help seniors with cognitive impairment (ROBSEN), funded by the Ministerio de Economia y Competitividad; and Robots Sociales para Estimulación Física, Cognitiva y Afectiva de Mayores (ROSES), funded by the Ministerio de Ciencia, Innovación y Universidades.

show abstract

A companion robot for daily care of elders based on homeostasis

Cited by 25 publications

References 8 publications

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You

Reinforcement Learning Approaches in Social Robotics

Mini: A New Social Robot for the Elderly

Contact Info

Product

Resources

About