An experiment study of gesture-based human-robot interface

Xu, Ye; Guillemot, Maël; Nishida, Toyoaki

doi:10.1109/iccme.2007.4381776

Cited by 11 publications

(3 citation statements)

References 10 publications

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“…To control the effect of different time periods for different sessions, the three session of every participant were concatenated and then quantized into ten time slots and the analysis was done according to those time slots rather than the actual time. The figure shows a tendency to reduce the number of unknown gestures used with time in all cases which indicates that the subjects were able to limit their gestures to the kinds understood by the robot (this corresponds to the replace behavior in [9]). Detailed analysis of the figure shows that this adaptation behavior is Fig.…”

Section: Resultsmentioning

confidence: 92%

“…[8] studied the adaptation of a robot manipulator to fuzzy verbal commands using Probabilistic Neural Networks and reported successful learning with a PA-10 redundant manipulator Adaptation of the human to the robot capabilities is less studied. For example [9] compared using predefined gestures Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, Technische Universität München, Munich, Germany, August 1-3, 2008 and a joystick to control a miniature robot in the same environment used in the experiment reported in this paper and found that the gesture based interface was more efficient and reduced the average task completion time compared with the joystick interface. Their experiment also showed a form of human adaptation to the robot capabilities.…”

Section: Introductionmentioning

confidence: 92%

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Human adaptation to a miniature robot: Precursors of mutual adaptation

Mohammad

Nishida

2008

RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication

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Mutual adaptation is an important phenomenon in human-human communications. Traditionally HRI research was more interested in investigating adaptation of the robot to the human using machine learning techniques but the possibility of utilizing the natural ability of humans to adapt to other humans and artifacts including robots is recently becoming increasingly attractive. This paper presents some of the results from an experiment conducted to investigate the interaction patterns and effectiveness of motion cues as a feedback modality between a human operator and a miniature robot in a confined collaborative navigation task. The results presented in this paper show evidence of human adaptation to the robot and moreover suggest that the adaptation rate is not constant or continuous in time but is discontinuous and nonlinear. The results also show evidence of a starting exploration stage before the adaptation with duration dependent on the expectations of the human regarding the capabilities of the robot in the given task. The paper investigates how to utilize these and related findings for building robots not only capable of adapting to human operators but can also help those operators adapt to them.

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 92%

Human adaptation to a miniature robot: Precursors of mutual adaptation

Mohammad

Nishida

2008

RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication

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“…For example, the authors in [9] use a finite state machine to develop a speech interaction system. Conversely, the choice of the authors in [10] has fallen on a gesture-based human-robot interface. In this second case, however, the limited set of gestures (only five) limits the usability of the language.…”

Section: State Of the Artmentioning

confidence: 99%

A Novel Gesture-Based Language for Underwater Human–Robot Interaction

Chiarella

Bibuli

Bruzzone

et al. 2018

JMSE

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The underwater environment is characterized by hazardous conditions that make it difficult to manage and monitor even the simplest human operation. The introduction of a robot companion with the task of supporting and monitoring the divers during their activities and operations underwater can help to solve some of the problems that usually arise in this scenario. In this context, a proper communication between the diver and the robot is imperative for the success of the dive. However, the underwater environment poses a set of technical challenges which are not readily surmountable thus limiting the spectrum from which possibilities can be chosen. This paper presents the design and development of a gesture-based communication language which has been employed for the entire duration of the European project CADDY (Cognitive Autonomous Diving Buddy). This language, the Caddian, was built upon consolidated and standardized underwater gestures that are commonly used in recreational and professional diving. Its use and integration during field tests with a remotely operated underwater vehicle (ROV) is also shown.

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