Physiological Data-Based Evaluation of a Social Robot Navigation System

Kivrak, Hasan; Uluer, Pınar; Köse, Hatice; Gumuslu, Elif; Barkana, Duygun Erol; Çakmak, Furkan; Yavuz, Sırma

doi:10.1109/ro-man47096.2020.9223539

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Considerable research is being conducted in this regard to improve the navigation of social robots [27,28,30,48,61] in spaces where they must coexist with humans in accordance with subtle cultural rules [17] and taking into account certain disabilities, such as hearing impairment [77]. In [17], a model is proposed for the motion of a robot inside a hospital environment.…”

Section: Discussionmentioning

confidence: 99%

Social Robots in Hospitals: A Systematic Review

2021

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Hospital environments are facing new challenges this century. One of the most important is the quality of services to patients. Social robots are gaining prominence due to the advantages they offer; in particular, several of their main uses have proven beneficial during the pandemic. This study aims to shed light on the current status of the design of social robots and their interaction with patients. To this end, a systematic review was conducted using WoS and MEDLINE, and the results were exhaustive analyzed. The authors found that most of the initiatives and projects serve the elderly and children, and specifically, that they helped these groups fight diseases such as dementia, autism spectrum disorder (ASD), cancer, and diabetes.

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Section: Discussionmentioning

confidence: 99%

Social Robots in Hospitals: A Systematic Review

2021

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“…The increment variant requires acceleration phases to be split into increments such that the robot performs a constant velocity phase of duration t pause = 300 ms when reaching certain velocities, which are multiples of v increment = 1 3 stoppingTime(v kin , a kin ). The first part of the constraint (Equation ( 9)) enforces that all acceleration or deceleration phases should end at one of the increment velocities.…”

Section: Integration Of Variantsmentioning

confidence: 99%

“…There is an increasing number of application domains for mobile robots operating in environments alongside humans, both in public spaces (e.g., train stations and shops) as well as spaces such as hospitals [ 1 ], care-homes, or private homes [ 2 ]. In the early days of human–robot interaction research, it was quickly established that using traditional navigation algorithms that only consider humans as obstacles results in unacceptable robot behaviour.…”

Section: Introductionmentioning

confidence: 99%

Planning Socially Expressive Mobile Robot Trajectories

Scales,

Aycard,

Aubergé

2024

Sensors

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Many mobile robotics applications require robots to navigate around humans who may interpret the robot’s motion in terms of social attitudes and intentions. It is essential to understand which aspects of the robot’s motion are related to such perceptions so that we may design appropriate navigation algorithms. Current works in social navigation tend to strive towards a single ideal style of motion defined with respect to concepts such as comfort, naturalness, or legibility. These algorithms cannot be configured to alter trajectory features to control the social interpretations made by humans. In this work, we firstly present logistic regression models based on perception experiments linking human perceptions to a corpus of linear velocity profiles, establishing that various trajectory features impact human social perception of the robot. Secondly, we formulate a trajectory planning problem in the form of a constrained optimization, using novel constraints that can be selectively applied to shape the trajectory such that it generates the desired social perception. We demonstrate the ability of the proposed algorithm to accurately change each of the features of the generated trajectories based on the selected constraints, enabling subtle variations in the robot’s motion to be consistently applied. By controlling the trajectories to induce different social perceptions, we provide a tool to better tailor the robot’s actions to its role and deployment context to enhance acceptability.

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