The Role of Healthcare Robots for Older People at Home: A Review

Robinson, Hayley; MacDonald, Bruce A.; Broadbent, Elizabeth

doi:10.1007/s12369-014-0242-2

Cited by 356 publications

(233 citation statements)

References 119 publications

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“…We as a community find a range of studies where robots have been used in various interactions for various purposes, however; we are unsure what can be classified as adaptive behaviour in robots. Although, previously, researchers have reported systematic reviews on the applicability of robots in education [10,18], long-term utilisation of robots work environments and public places [5], domestic settings [5], and healthcare [11]. But, unfortunately, to the best of our knowledge, we do not find a review based on adaptive interactions in HRI.…”

Section: Introductionmentioning

confidence: 87%

“…These social domains includes education [10], public places [5], domestic and work environments [5], health care and therapy [11]. We also find a number of research studies that have been conducted on understanding how a user interacts with a robot, or what is an effect of robot's social behaviour [12], role [13], anthropomorphism, animacy, like-ability, perceived intelligence and perceived safety on user's perception [14] in various environments.…”

Section: Introductionmentioning

confidence: 99%

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A Systematic Review of Adaptivity in Human-Robot Interaction

Ahmad

Mubin

Orlando

2017

MTI

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Abstract:As the field of social robotics is growing, a consensus has been made on the design and implementation of robotic systems that are capable of adapting based on the user actions. These actions may be based on their emotions, personality or memory of past interactions. Therefore, we believe it is significant to report a review of the past research on the use of adaptive robots that have been utilised in various social environments. In this paper, we present a systematic review on the reported adaptive interactions across a number of domain areas during Human-Robot Interaction and also give future directions that can guide the design of future adaptive social robots. We conjecture that this will help towards achieving long-term applicability of robots in various social domains.

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Section: Introductionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Adaptivity in Human-Robot Interaction

Ahmad

Mubin

Orlando

2017

MTI

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“…Security of this online, personalised health data has become an increasing concern [50] and the move towards blockchain record systems [51] aims to facilitate the secure sharing of patient records. Additionally, there has been a move to utilise robotic systems in patient care to reduce the demand on healthcare services [52].…”

Section: E Health and Well-beingmentioning

confidence: 99%

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

McKee

Clement

Almutairi

et al. 2017

2017 IEEE 13th International Symposium on Autonomous Decentralized System (ISADS)

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Abstract-The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing stateof-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined.

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“…Special attention is given to healthcare domain, where socially interactive assistant robots help patients with the recovery and compensate for increased costs of care and lack of nursing staff [4], [5]. Service robots are built for specific task and their functionality is defined with a set of skills necessary to perform them.…”

Section: Relevant Workmentioning

confidence: 99%

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

et al. 2016

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Abstract. Social robots are expected to adapt to their users and, like their human counterparts, learn from the interaction. In our previous work, we proposed an interactive learning framework that enables a user to intervene and modify a segment of the robot arm trajectory. The framework uses gesture teleoperation and reinforcement learning to learn new motions. In the current work, we compared the user experience with the proposed framework implemented on the single-arm and dual-arm Barrett's 7-DOF WAM robots equipped with a Microsoft Kinect camera for user tracking and gesture recognition. User performance and workload were measured in a series of trials with two groups of 6 participants using two robot settings in different order for counterbalancing. The experimental results showed that, for the same task, users required less time and produced shorter robot trajectories with the single-arm robot than with the dual-arm robot. The results also showed that the users who performed the task with the single-arm robot first experienced considerably less workload in performing the task with the dual-arm robot while achieving a higher task success rate in a shorter time.

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The Role of Healthcare Robots for Older People at Home: A Review

Cited by 356 publications

References 119 publications

A Systematic Review of Adaptivity in Human-Robot Interaction

A Systematic Review of Adaptivity in Human-Robot Interaction

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

User Evaluation of an Interactive Learning Framework for Single-Arm and Dual-Arm Robots

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