Design of a cloud robotic system to support senior citizens: the KuBo experience

Manzi, Alessandro; Fiorini, Laura; Esposito, Raffaele; Bonaccorsi, Manuele; Mannari, Irene; Dario, P.; Cavallo, Filippo

doi:10.1007/s10514-016-9569-x

Cited by 18 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2) Health Care: The capabilities of multi-agent cloud robotics have also been leveraged to enable remote health monitoring [11] and elderly care support [43]- [45], and assist people with disabilities in mobility [46], [47] and communication [48], [49].…”

Section: A Current and Future Applications Of Multi-agent Cloud Roboticsmentioning

confidence: 99%

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Afrin

Jin

Rahman

et al. 2021

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0, agriculture, healthcare, and disaster management. These applications are composed of latency-sensitive, data-heavy, and compute-intensive tasks. The robots, however, are constrained in the computational power and storage capacity. The concept of multi-agent cloud robotics enables robotto-robot cooperation and creates a complementary environment for the robots in executing large-scale applications with the capability to utilize the edge and cloud resources. However, in such a collaborative environment, the optimal resource allocation for robotic tasks is challenging to achieve. Heterogeneous energy consumption rates and application of execution costs associated with the robots and computing instances make it even more complex. In addition, the data transmission delay between local robots, edge nodes, and cloud data centres adversely affects the real-time interactions and impedes service performance guarantee. Taking all these issues into account, this paper comprehensively surveys the state-of-the-art on resource allocation and service provisioning in multi-agent cloud robotics. The paper presents the application domains of multi-agent cloud robotics through explicit comparison with the contemporary computing paradigms and identifies the specific research challenges. A complete taxonomy on resource allocation is presented for the first time, together with the discussion of resource pooling, computation offloading, and task scheduling for efficient service provisioning. Furthermore, we highlight the research gaps from the learned lessons, and present future directions deemed beneficial to further advance this emerging field.

show abstract

Section: A Current and Future Applications Of Multi-agent Cloud Roboticsmentioning

confidence: 99%

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Afrin

Jin

Rahman

et al. 2021

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…Some have focused their attention on the use of robots in public places, such as museums [5] and shopping malls [6]. Others aimed at developing robotic systems to assist the elderly at home, helping them during daily living by bringing grocery shopping, reminding them about drug intake and appointments, and helping them walk [7,8]. Hu et al [9] proposed a robotic nursing assistant to help nurses in the hospital, whereas Penders et al [10] developed a swarm of robots to assist firefighters.…”

Section: Social Robots and Human-robot Interactionmentioning

confidence: 99%

Wearable Sensors for Human–Robot Walking Together

et al. 2019

Self Cite

View full text Add to dashboard Cite

Thanks to recent technological improvements that enable novel applications beyond the industrial context, there is growing interest in the use of robots in everyday life situations. To improve the acceptability of personal service robots, they should seamlessly interact with the users, understand their social signals and cues and respond appropriately. In this context, a few proposals were presented to make robots and humans navigate together naturally without explicit user control, but no final solution has been achieved yet. To make an advance toward this end, this paper proposes the use of wearable Inertial Measurement Units to improve the interaction between human and robot while walking together without physical links and with no restriction on the relative position between the human and the robot. We built a prototype system, experimented with 19 human participants in two different tasks, to provide real-time evaluation of gait parameters for a mobile robot moving together with a human, and studied the feasibility and the perceived usability by the participants. The results show the feasibility of the system, which obtained positive feedback from the users, giving valuable information for the development of a natural interaction system where the robot perceives human movements by means of wearable sensors.

show abstract

“…In this Special Issue, the work of Manzi et al (2016) uses a cloud robotics approach to increase the skills of a robot, endowing the system with abilities for human-robot interaction and environmental sensing. The robot uses text-to-speech and speech recognition services as well as an electronic agenda and web resources to perform several tasks.…”

Section: Social Robotic Aidesmentioning

confidence: 99%