Recognizing interaction from a robot~s perspective

Salter, Tamie; Michaud, François; Dautenhahn, Kerstin; Létourneau, Dominic; Caron, S.

doi:10.1109/roman.2005.1513776

Cited by 11 publications

(11 citation statements)

References 11 publications

(12 reference statements)

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“…On the other hand, we expect that development of high-level AI techniques that enhance a robot's apparent intelligence will increasingly find inclusion in RDEs, like the tools found in MissionLab. We expect that robot learning (e.g., Russell, 2004;Blank et al, 2005), findings from human-robot interaction (HRI) research (e.g., Salter et al, 2005;Fong et al, 2006;Moshkina et al, 2006;Scheutz et al, 2006), and the study of social robotics (e.g., Bruce et al, 2002;Breazeal, 2003) will become commonplace.…”

Section: Discussionmentioning

confidence: 99%

Development environments for autonomous mobile robots: A survey

2006

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Robotic Development Environments (RDEs) have come to play an increasingly important role in robotics research in general, and for the development of architectures for mobile robots in particular. Yet, no systematic evaluation of available RDEs has been performed; establishing a comprehensive list of evaluation criteria targeted at robotics applications is desirable that can subsequently be used to compare their strengths and weaknesses. Moreover, there are no practical evaluations of the usability and impact of a large selection of RDEs that provides researchers with the information necessary to select an RDE most suited to their needs, nor identifies trends in RDE research that suggest directions for future RDE development.This survey addresses the above by selecting and describing nine open source, freely available RDEs for mobile robots, evaluating and comparing them from various points of view. First, based on previous work concerning agent systems, a conceptual framework of four broad categories is established, encompassing the characteristics and capabilities that an RDE supports. Then, a practical evaluation of RDE usability in designing, implementing, and executing robot architectures is presented. Finally, the impact of specific RDEs on the field of robotics is addressed by providing a list of published applications and research projects that give concrete examples of areas in which systems have been used. The comprehensive evaluation and comparison of the nine RDEs concludes with suggestions of how to use the results J. Kramer ( ) · M. Scheutz

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Section: Discussionmentioning

confidence: 99%

Development environments for autonomous mobile robots: A survey

2006

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“…Three accelerometers, one for each of the X , Y and Z axis, (as illustrated in Fig. 3) and two inclinometers are placed inside Roball for velocity and rotation control of the robot [56,57].…”

Section: Roball: Our Current Researchmentioning

confidence: 99%

Going into the wild in child–robot interaction studies: issues in social robotic development

Salter

Werry

Michaud

2008

Intel Serv Robotics

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As robots move into more human centric environments we require methods to develop robots that can naturally interact with humans. Doing so requires testing in the real-world and addressing multidisciplinary challenges. Our research is focused on child-robot interaction which includes very young children, for example toddlers, and children diagnosed with autism. More traditional forms of human-robot communication, such as speech or gesture recognition, may not be appropriate with these users, where as touch may help to provide a more natural and appropriate means of communication for such instances. In this paper, we present our findings on these topics obtained from a project involving a spherical robot that acquires information regarding natural touch from analysing sensory patterns over-time to characterize the information. More specifically, from this project we have derived important factors for future consideration, we describe our iterative experimental methodology of testing in and out of the 'wild' (lab based and real world), and outline discoveries that were made by doing so.

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“…This first study showed that it is possible to detect different environmental conditions through the analysis of proprioceptive sensors (accelerometers and tilt) [18]. Overall, analysis indicated that different environmental conditions, which can be associated with forms of interaction, can be detected through the analysis of proprioceptive sensor data.…”

Section: Study One: Conclusionmentioning

confidence: 96%

“…By detecting these states, the robots behavior could be changed or adapted to respond in a particular fashion to interaction with children. The algorithm developed uses the following five rules which are specific instantiations of the heuristics derived from the analysis presented in Section 4 and in [18]. Different from the first study, the algorithm uses a temporal window of 4 seconds to calculate an average of the sensor readings and thus derive which condition it believes the robot is currently experiencing.…”

Section: Heuristics For Behavioral Adaptationmentioning

confidence: 99%

Université de Sherbrooke

1979

Neurosurgery

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Increasingly researchers are looking outside of normal communication channels (such as video and audio) to provide additional forms of communication or interaction between a human and a robot, or a robot and its environment. Amongst the new channels being investigated is the detection of touch using infrared, proprioceptive and temperature sensors. Our work aims at developing a system that can detect natural touch or interaction coming from children playing with a robot, and adapt to this interaction. This paper reports trials carried out using Roball, a spherical mobile robot, demonstrating how sensory data patterns can be identified in human-robot interaction, and exploited for achieving behavioral adaptation. The experimental methodology used for these trials is reported, which validated the hypothesis that human interaction can not only be perceived from proprioceptive sensors on-board a robotic platform, but that this perception has the ability to lead to adaptation.

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Recognizing interaction from a robot~s perspective

Cited by 11 publications

References 11 publications

Development environments for autonomous mobile robots: A survey

Development environments for autonomous mobile robots: A survey

Going into the wild in child–robot interaction studies: issues in social robotic development

Université de Sherbrooke

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