A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration

Kanemura, Atsunori; Morales, Yoichi; Kawanabe, Motoaki; Morioka, Hiroshi; Kallakuri, Nagasrikanth; Ikeda, Teruyuki; Miyashita, Takahiro; Hagita, Norihiro; Ishii, Shin

doi:10.1109/iros.2013.6696452

Cited by 26 publications

(9 citation statements)

References 20 publications

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“…Reducing the autonomy of patients is possible through integration with domotics, which allows robots to control appliances, and thereby restrict the access to entertainment (e.g., [40]). Limiting a patient's freedom of movement could also be achieved by domotics (See [40], for a system that opens and closes sliding doors). To the best of our knowledge, currently, no robotic system has been devel-oped to restrain a person physically.…”

Section: Methodsmentioning

confidence: 99%

Can We Agree on What Robots Should be Allowed to Do? An Exercise in Rule Selection for Ethical Care Robots

Vanderelst

Willems

2019

Int J of Soc Robotics

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Future Care Robots (CRs) should be able to balance a patient's, often conflicting, rights without ongoing supervision. Many of the trade-offs faced by such a robot will require a degree of moral judgment. Some progress has been made on methods to guarantee robots comply with a predefined set of ethical rules. In contrast, methods for selecting these rules are lacking. Approaches departing from existing philosophical frameworks, often do not result in implementable robotic control rules. Machine learning approaches are sensitive to biases in the training data and suffer from opacity. Here, we propose an alternative, empirical, survey-based approach to rule selection. We suggest this approach has several advantages, including transparency and legitimacy. The major challenge for this approach, however, is that a workable solution, or social compromise, has to be found: it must be possible to obtain a consistent and agreed-upon set of rules to govern robotic behavior. In this article, we present an exercise in rule selection for a hypothetical CR to assess the feasibility of our approach. We assume the role of robot developers using a survey to evaluate which robot behavior potential users deem appropriate in a practically relevant setting, i.e., patient non-compliance. We evaluate whether it is possible to find such behaviors through a consensus. Assessing a set of potential robot behaviors, we surveyed the acceptability of robot actions that potentially violate a patient's autonomy or privacy. Our data support the empirical approach as a promising and cost-effective way to query ethical intuitions, allowing us to select behavior for the hypothetical CR.

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Section: Methodsmentioning

confidence: 99%

Can We Agree on What Robots Should be Allowed to Do? An Exercise in Rule Selection for Ethical Care Robots

Vanderelst

Willems

2019

Int J of Soc Robotics

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“…Recently, some research has focused on the use of wearable brain machine interfaces (BMI) to provide assistive services to impaired users. The BMIs in [32] and [33] were used to control robots or smart homes by observing brain waves and interpreting the user's will. In such systems the user wears cutaneous electrodes to measure the brain waves.…”

Section: Related Workmentioning

confidence: 99%

A Cloud Robotics Solution to Improve Social Assistive Robots for Active and Healthy Aging

Bonaccorsi

Fiorini

Cavallo

et al. 2016

Int J of Soc Robotics

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Technological innovation in robotics and ICT represents an effective solution to tackle the challenge of providing social sustainable care services for the ageing population. The recent introduction of cloud technologies is opening new opportunities for the provisioning of advanced robotic services based on the cooperation of a number of connected robots, smart environments and devices improved by the huge cloud computational and storage capability. In this context, this paper aims to investigate and assess the potentialities of a cloud robotic system for the provisioning of assistive services for the promotion of active and healthy ageing. The system comprised two different smart environments, located in Italy and Sweden, where a service robot is connected to a cloud platform for the provisioning of localization based services to the users. The cloud robotic services were tested in the two realistic environments to assess the general feasibility of the solution and demonstrate the ability to provide assistive location based services in a multiple environment framework. The results confirmed the validity of the solution but also suggested a deeper investigation on the dependability of the communication technologies adopted in such kind of systems.

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“…At this moment, BCI are intrusive interfaces as they require the user to wear additional garments in order to interact with devices. At the same time, Kanemura et al [72] considers that Brain-Machine Interfaces (BMI) can assist aging societies and improve human welfare by enabling robots to do whatever the user wants. Their proposal is focused on the elderly and consists of a wheelchair that assists the user in mobility throughout the house.…”

Section: User Interfaces Applied To Smart Home Environmentsmentioning

confidence: 99%

Towards the Evolution of Smart Home Environments: A Survey

Salazar¹

2016

AUSMT

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Current lifestyles and technologies have inspired new ways to manage home appliances free of restrictions previously imposed by distance and time. So-called home automation technologies allow users to control and schedule common home tasks, often without human intervention. Several types of home automation systems have been proposed and classified according to their functionality, mode of user interaction, scheduling systems and cost-effectiveness. This paper reviews proposals in the smart home field from the last five years, considering both technical and functional aspects. The paper seeks to define automated or smart home systems by identifying common aspects of current such systems.

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A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration

Cited by 26 publications

References 20 publications

Can We Agree on What Robots Should be Allowed to Do? An Exercise in Rule Selection for Ethical Care Robots

Can We Agree on What Robots Should be Allowed to Do? An Exercise in Rule Selection for Ethical Care Robots

A Cloud Robotics Solution to Improve Social Assistive Robots for Active and Healthy Aging

Towards the Evolution of Smart Home Environments: A Survey

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