The MOBOT Platform – Showcasing Multimodality in Human-Assistive Robot Interaction

Efthimiou, Eleni; Fotinea, Stavroula–Evita; Goulas, Theodore; Dimou, Athanasia-Lida; Koutsombogera, Maria; Pitsikalis, Vassilis; Maragos, Petros; Tzafestas, Costas S.

doi:10.1007/978-3-319-40244-4_37

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…Different approaches on active SWs have been developed in the past few years regarding HRI and REI interfaces [21,22,23,24,25,26,28,29,30,31,33]. These interfaces are also equipped with navigation and user interaction systems to provide shared control capabilities.…”

Section: Related Workmentioning

confidence: 99%

Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker

Garzón

Múnera

et al. 2019

Sensors

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The constant growth of the population with mobility impairments has led to the development of several gait assistance devices. Among these, smart walkers have emerged to provide physical and cognitive interactions during rehabilitation and assistance therapies, by means of robotic and electronic technologies. In this sense, this paper presents the development and implementation of a human–robot–environment interface on a robotic platform that emulates a smart walker, the AGoRA Walker. The interface includes modules such as a navigation system, a human detection system, a safety rules system, a user interaction system, a social interaction system and a set of autonomous and shared control strategies. The interface was validated through several tests on healthy volunteers with no gait impairments. The platform performance and usability was assessed, finding natural and intuitive interaction over the implemented control strategies.

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Section: Related Workmentioning

confidence: 99%

Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker

Garzón

Múnera

et al. 2019

Sensors

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“…The four-wheeled SW used in this study was developed in the MOBOT project ("Intelligent Active MObility Aid RoBOT integrating Multimodal Sensory Processing, Proactive Autonomy and Adaptive Interaction") and integrates innovative functionalities, such as STS assistance, obstacle avoidance, navigation assistance, user following, gait tracking and audio-gestural human-robot interaction into an overall context-aware mobility assistance robot. [14][15][16][17] The STS assistance system is based on two actuated arms providing active assistance during the entire STS motion through individualized robot handle trajectories (positions, velocities, accelerations) specifically tailored to the user's specific anthropometrics and motor impairment level. A detailed description of the STS assistance system and the optimal assistive strategies used to support the participants in the STS transfer has been provided previously.…”

Section: Mobot Smart Walkermentioning

confidence: 99%

Evaluating the sit‐to‐stand transfer assistance from a smart walker in older adults with motor impairments

Werner

Geravand

Köröndi

et al. 2020

Geriatrics Gerontology Int

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Aim To evaluate the effectiveness and user satisfaction with the sit‐to‐stand (STS) assistance system of a smart walker (SW), and to identify factors associated with them in potential users. Methods A total of 33 older adults (29 women, aged ≥65 years) with motor impairments (habitual rollator use) and no severe cognitive impairment (Mini‐Mental State Examination ≥17 points) carried out a Five‐Chair Stand Test without assistance and five STS transfers with the STS assistance system. Based on the number of successfully completed STS transfers, success rates were calculated for the Five‐Chair Stand Test and the SW‐assisted STS transfers, and compared using the Wilcoxon signed‐rank test. User satisfaction was assessed using the Tele‐healthcare Satisfaction Questionnaire‐Wearable Technology (0–80 points, higher score = higher satisfaction). Bivariate correlations and multiple linear regression analyses were used to identify participant characteristics associated with the success rate and user satisfaction with the STS assistance system. Results The success rate for the SW‐assisted STS transfers was significantly higher than for the Five‐Chair Stand Test (93.3 ± 12.9% vs 54.5 ± 50.6%, P < 0.001). User satisfaction was high (Tele‐healthcare Satisfaction Questionnaire‐Wearable Technology 62.5 ± 11.2 points). The success rate with the STS assistance system was not significantly associated with any participant characteristics. Higher body mass index was a significant independent predictor of higher user satisfaction. Conclusions The SW‐integrated STS assistance system can provide effective STS support with high user satisfaction for a wide range of potential users. Our findings suggest the high potential of the STS assistance system for promoting mobility, independence and quality of life for older adults with motor impairments. Geriatr Gerontol Int 2020; 20: 312–316.

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“…1) integrates innovative functionalities such as STS assistance, obstacle detection and avoidance, indoor localization and navigation assistance, user following, gait tracking, and audio-gestural human-robot interaction into an overall context-aware mobility assistance robot. A more detailed and comprehensive overview of the MOBOT rollator's functionalities have been summarized previously [26]. As this study aimed to conduct an evaluation specifically tailored to the navigation assistance functionality of the MO-BOT rollator, only this innovative assistance functionality was activated during test procedure and all others, which would have provided additional direct assistance to the participants (e.g., obstacle avoidance, STS assistance), were deactivated.…”

Section: Intelligent Active Mobility Assistance Robotmentioning

confidence: 99%

User-Oriented Evaluation of a Robotic Rollator That Provides Navigation Assistance in Frail Older Adults with and without Cognitive Impairment

et al. 2017

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Background: Navigational skills decline with age, and this decline is even more pronounced in cognitively impaired (CI) older adults. Navigation assistance is an emerging functionality of robotic rollators (RRs). The evidence on the effectiveness of RR-integrated navigation systems in potential end-users is, however, scarce. Objective: To determine whether RR-provided navigation assistance improves navigation within a real-life environment in the intended user group of frail older adults with and without cognitive impairment currently using a rollator in daily life. Methods: A randomized, between-subject, 2 × 2 factorial design was conducted to test the effects of navigation assistance and cognitive status on participants' navigation performance. Twenty CI (Mini-Mental State Examination [MMSE] 17-26) and 22 not cognitively impaired (NCI; MMSE >26) older rollator users (age 82.5 ± 8.7 years) were included. Participants were matched for cognitive status (CI vs. NCI) and randomized to one of two conditions: RR (1) with or (2) without activated navigation system. All participants had to complete a two-section navigation path with the RR in an unfamiliar, real-life environment. Participants with RR-assisted navigation were supported in wayfinding by directional audio cues of the RR-integrated navigation system. Participants without RR-assisted navigation had to complete the sections by orienting themselves along conventional signposts. Outcomes were success rate, completion and stopping time, number of stops, walking distance, and gait speed. Results: The navigation assistance condition had no significant effect on the success rate in the CI, NCI, or total group. We found significant interactions between navigation assistance and cognitive status for both sections (p = 0.002-0.040), such that RR-assisted navigation reduced the completion time (both sections), stopping time (section 1), and number of stops (section 2) in the CI (p ≤ 0.001-0.014) but not in the NCI group. On the more complex section 2, RR-assisted navigation led to a reduced stopping time and walking distance in the total group (p = 0.014-0.016). Conclusion: The RR-integrated navigation system was effective for improving navigation within a real-life environment in potential end-users, especially in those with cognitive impairment. This is the first study to provide statistical evidence on the effectiveness of an RR-integrated navigation system in the intended user group.

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The MOBOT Platform – Showcasing Multimodality in Human-Assistive Robot Interaction

Cited by 12 publications

References 12 publications

Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker

Human–Robot–Environment Interaction Interface for Smart Walker Assisted Gait: AGoRA Walker

Evaluating the sit‐to‐stand transfer assistance from a smart walker in older adults with motor impairments

User-Oriented Evaluation of a Robotic Rollator That Provides Navigation Assistance in Frail Older Adults with and without Cognitive Impairment

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