A Robotic Home Assistant with Memory Aid Functionality

Wieser, Iris; Toprak, Sibel; Grenzing, Andreas; Hinz, T.; Auddy, Sayantan; Karaoğuz, Ethem Can; Chandran, Abhilash; Remmels, Melanie; Shinawi, Ahmed El; Josifovski, Josip; Vankadara, Leena Chennuru; Wahab, Faiz Ul; Bahnemiri, Alireza M.; Sahu, Debasish; Heinrich, S.; Navarro-Guerrero, Nicolás; Strahl, Erik; Twiefel, Johannes; Wermter, Stefan

doi:10.1007/978-3-319-46073-4_8

Cited by 13 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [45] for example, introduces IRMA, a "domestic robotic system" that finds misplaced items for the elderly. It is composed of navigation, perception, and communication layers that leverage a single knowledge representation module of its environment and execute tasks using a state machine.…”

Section: Robot Ecosystemmentioning

confidence: 99%

“…Ref. [46], on the other hand, investigates a similar problem to [45], but with finding people and not objects using a probabilistic approach. The mobile robot tours an environment and continuously updates its hypothesis on whether an individual is in a room or not based on visual observations.…”

Section: Robot Ecosystemmentioning

confidence: 99%

“…The authors highlight that image processing takes 4-5 seconds, while the robot is stopped, to process the image and update and verify its hypotheses. While the processing time is much shorter than that of IRMA [45], it is still relatively expensive since the robot may need to react to other environmental changes or system requests. Moreover, this latency is not mission critical, yet it makes the robot less usable and effective in an actual domestic environment.…”

Section: Robot Ecosystemmentioning

confidence: 99%

“…High response time of robots is reported in reviewed works due to limited onboard computation capacity [45,46,49]. The long processing time makes a robot agent less usable and effective.…”

Section: On-board Computation Capacity Limitationmentioning

confidence: 99%

See 3 more Smart Citations

A Systematic Review of Robotics Research in Support of In-Home Care for Older Adults

2020

View full text Add to dashboard Cite

The aging population is growing at an unprecedented rate globally and robotics-enabled solutions are being developed to provide better independent living for older adults. In this study, we report the results from a systematic review of the state-of-the-art in home robotics research for caring for older adults. This review aims to address two questions: (1) What research is being done towards integrating robotics for caring for older adults? (2) What are the research and technology challenges that robots are facing in the home? Sixty-three papers have been identified and studied in this review by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Common themes that are consistent across the reviewed papers are distinguished and consolidated as follows: (1) Ambient assisted living, where smart home environments and physical support tools are studied; (2) Robot ecosystem, where robotic devices are used to provide various services; (3) Social interaction, where the social isolation problem has been targeted. We also summarize the results of similar literature reviews we came across during our search. The results of this study present the current research trends and technologies used in each category. The challenges and limitations of robotics applications are also identified. Suggestions for accelerating the deployment of robots at home for providing older adults with independent care in the home are presented based on the results and insights from this study.

show abstract

Section: Robot Ecosystemmentioning

confidence: 99%

Section: Robot Ecosystemmentioning

confidence: 99%

Section: Robot Ecosystemmentioning

confidence: 99%

“…High response time of robots is reported in reviewed works due to limited onboard computation capacity [45,46,49]. The long processing time makes a robot agent less usable and effective.…”

Section: On-board Computation Capacity Limitationmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review of Robotics Research in Support of In-Home Care for Older Adults

2020

View full text Add to dashboard Cite

show abstract

“…Much research surveyed here assists users in exactly this way: by providing autonomous assistance through environmental state manipulations. Researchers have explored how a user can command a robot to organize a messy room (Mertens et al, 2011;Cremer et al, 2016;Koskinopoulou et al, 2016;Pripfl et al, 2016;Jensen et al, 2017), fetch misplaced or distant items (Iossifidis and Schoner, 2004;Unhelkar et al, 2014;Huang and Mutlu, 2016;Wieser et al, 2016), or even perform more specialized tasks autonomously (under the direction of the user) such as assisted eating (Canal et al, 2016) and other tasks of daily living (Nguyen and Kemp, 2008), search and rescue (Doroodgar et al, 2010), welding (Andersen et al, 2016a), or other industrial tasks (Mueller et al, 2017). Assistive tasks performed autonomously at the request of a user through environmental manipulation can provide several benefits.…”

Section: Environmentmentioning

confidence: 99%

Helping People Through Space and Time: Assistance as a Perspective on Human-Robot Interaction

2022

View full text Add to dashboard Cite

As assistive robotics has expanded to many task domains, comparing assistive strategies among the varieties of research becomes increasingly difficult. To begin to unify the disparate domains into a more general theory of assistance, we present a definition of assistance, a survey of existing work, and three key design axes that occur in many domains and benefit from the examination of assistance as a whole. We first define an assistance perspective that focuses on understanding a robot that is in control of its actions but subordinate to a user’s goals. Next, we use this perspective to explore design axes that arise from the problem of assistance more generally and explore how these axes have comparable trade-offs across many domains. We investigate how the assistive robot handles other people in the interaction, how the robot design can operate in a variety of action spaces to enact similar goals, and how assistive robots can vary the timing of their actions relative to the user’s behavior. While these axes are by no means comprehensive, we propose them as useful tools for unifying assistance research across domains and as examples of how taking a broader perspective on assistance enables more cross-domain theorizing about assistance.

show abstract