Social and collaborative aspects of interaction with a service robot

Severinson-Eklundh, Kerstin; Green, Anders; Hüttenrauch, Helge

doi:10.1016/s0921-8890(02)00377-9

Cited by 239 publications

(132 citation statements)

References 17 publications

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“…In [33] they suggest that, in addition to this qualitative assessment, metrics assessment should be used to provide feedback mechanisms aimed at improving the general performance of the robot. Benchmarking in robotics [23] has emerged as a solution to evaluate the performance of robotic systems in a reproducible way and to allow 30 comparison between different research approaches. However, benchmarking is rather difficult in service robot applications [15], given that humans and real environments must be explicitly considered in the benchmarking methodology.…”

Section: Introductionmentioning

confidence: 99%

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Long-term assessment of a service robot in a hotel environment

Pinillos

Marcos

Feliz

et al. 2016

Robotics and Autonomous Systems

135

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The long term evaluation of the Sacarino robot is presented in this paper. This study aimed to improve the robot's capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services. The paper establishes a three-stage assessment methodology based on the continuous measurement of a set of metrics regarding navigation and interaction with guests. Sacarino has been automatically collecting information in a real hotel environment for long periods of time. The acquired information has been analyzed and used to improve the robot's operation in the hotel through successive refinements. Some interesting considerations and useful hints for the researchers of service robots have been extracted from the analysis of the results.

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Section: Introductionmentioning

confidence: 99%

“…In [30], one of the first long-term studies in a real-world setting involving a social robot is reported. The robot was dedicated to a target impaired user, and 40 was evaluated over 3 months.…”

Section: Introductionmentioning

confidence: 99%

Long-term assessment of a service robot in a hotel environment

Pinillos

Marcos

Feliz

et al. 2016

Robotics and Autonomous Systems

135

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“…In a autonomous ubiquitous environment, students and robots are sharing the same physical space such as classroom and interact with each other in close proximity [1,11,12]. And robot's tasks may range from education or play, to assist the teachers without any intervention [13]. Therefore, there is a need to standard the degree of autonomy for service robots in order to verify their efficiency.…”

Section: Discussionmentioning

confidence: 99%

Degree of autonomy for education robot

Choi¹,

Jung²,

Gwak³

et al. 2016

Journal of Internet Computing and Services

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With the rapid development of mobile services and the prevalence of education robots, robots are being developed to become a part of our lives and they can be utilized to assist teachers in giving education or learning to students. This standard has been proposed to define the degree of autonomy for education robot. The autonomy is an ability to perform a given work based on current state and sensor value without human intervention.

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“…Typical HRI research concentrates on the development of software and/or hardware to facilitate a wide range of tasks. These include robots maneuvering in physical spaces, both those designed for humans (e.g., [53]) or unfit for humans (e.g., [66]); people programming complex robots (e.g., [81]) or different types of simple robots (e.g., [8]); robots cooperating with human partners (e.g., [12,25,86,98,100]) and with other robots (e.g., [21,55,62,92]); and user interfaces for communicating with robots (e.g., [49,79]). Deployed HRI applications include cleaning [78], helping the elderly [95], assisting first responders in search and rescue tasks [17], demining in military settings [29], and teaching [52].…”

Section: Related Workmentioning

confidence: 99%

Designing the HRTeam Framework: Lessons Learned from a Rough-and-Ready Human/Multi-Robot Team

Sklar

Ozgelen

Muñoz

et al. 2012

Advanced Agent Technology

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Abstract. In this workshop paper, we share the design and on-going implementation of our HRTeam framework, which is constructed to support multiple robots working with a human operator in a dynamic environment. The team is comprised of one human plus a heterogeneous set of inexpensive, limited-function robots. Although each individual robot has restricted mobility and sensing capabilities, together the team members constitute a multi-function, multi-robot facility. We describe low-level system architecture details and explain how we have integrated a popular robotic control and simulation environment into our framework to support application of multi-agent techniques in a hardware-based environment. We highlight lessons learned regarding the integration of multiple varying robot platforms into our system, from both hardware and software perspectives. Our aim is to generate discussion amongst multirobot researchers concerning issues that are of particular interest and present particular difficulties to the multi-robot systems community.

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Social and collaborative aspects of interaction with a service robot

Cited by 239 publications

References 17 publications

Long-term assessment of a service robot in a hotel environment

Long-term assessment of a service robot in a hotel environment

Degree of autonomy for education robot

Designing the HRTeam Framework: Lessons Learned from a Rough-and-Ready Human/Multi-Robot Team

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