Perceiving for Acting With Teleoperated Robots: Ecological Principles to Human–Robot Interaction Design

Mantel, Bruno; Hoppenot, Philippe; Colle, Etienne

doi:10.1109/tsmca.2012.2190400

Cited by 15 publications

(10 citation statements)

References 80 publications

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“…Other researches explore to enhance the outside perception of the teleoperation system from the interaction environment. In [49], an ecological method involving environment perception and operator action was presented to improve the performance of perceptual action control in the remote side. The VE technology has proven to be highly promising for the purpose of the improvement of immersion in the presence of time delay.…”

Section: Information Perceptionmentioning

confidence: 99%

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Luo

Yang

2020

Cognitive Computation and Systems

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Teleoperation provides a promising way for human-robot collaboration in the unknown or unstructured environments to perform a cooperative task. It enables humans to complete a task at a remote side and combines both the human's intelligence and the robots' capabilities in a collaborative task. Therefore, it is necessary to conduct cross researches in terms of robotics, artificial intelligence, sensors, and mechatronics. This study covers the state-of-the-arts research in terms of perception, control, and learning. In this review, key technologies about information perception mechanism, control algorithms, human-robot interface, and robot learning strategies for teleoperation are introduced. Then, a comprehensive survey is summarised in representative applications in teleoperation, and the existing challenges and potential directions of the development are discussed.

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Section: Information Perceptionmentioning

confidence: 99%

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Luo

Yang

2020

Cognitive Computation and Systems

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“…An early attempt at describing what such a machine could be like is found in Runeson's discussion of the polar planimeter as a ''smart'' perceptual mechanism that is able to measure complex variables directly (Runeson, 1977). For a more recent and comprehensive introduction to the intersection of ecological principles and humanmachine interaction, I point the reader to Mantel, Hoppenot, and Colle (2012).…”

Section: Machine Intelligencementioning

confidence: 99%

Soft-assembled human–machine perceptual systems

Favela

2019

Adaptive Behavior

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Cognitive systems are highly adaptable and flexible, such that action and perception capabilities can be achieved with the body in various ways, and incorporate features of the environment and nonbiological tools. Perceptual learning refers to enduring changes to a system’s ability to perceive and respond to environmental stimuli. Here I present an integrative framework for understanding how such capabilities occur in human–machine systems comprising brain–body–tool–environment interactions. Central to this work is the claim that the capacity for high degrees of adaptation, flexibility, and learning are possible because human–machine systems are soft-assembled systems, that is, systems whose material constitution is not rigidly constrained so as to achieve goals via a variety of configurations. I begin by presenting the foundations of the framework on offer: the concepts, methods, and theories of ecological psychology; embodied cognition; dynamical systems theory; and machine intelligence. Next, I apply the framework to the case of visually-guided action. I conclude by explaining how this framework provides the explanatory and investigative tools to understand human–machine perceptual systems as soft-assembled systems that span brains-bodies-tools-environments.

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“…Given this effect, we suggest that designers should aim to create artifacts that elicit not only the movements that would be used to perform actions but also the exploratory movements that reveal the corresponding affordances. In this context, a design that encourages the user to perform an information-generating action can be understood as adding information to the artifact (Mantel et al, 2012). An important point is that this type of information is not imposed on the user (in the way that a printed label imposes information).…”

Section: Implications For Designmentioning

confidence: 99%

Exploratory movement and affordances in design

Stoffregen

Mantel

2015

AIEDAM

Self Cite

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The design community has growing familiarity with the concept of affordances and with the utility of this concept in many areas of design. Less emphasis has been placed on natural processes by which people acquire knowledge about affordances. Consequently, little is known about how design might be optimized to enable users to detect the actions that are available in a given human–machine system. We review scientific research about what people do to obtain information about affordances. We discuss implications of this research for design.

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Perceiving for Acting With Teleoperated Robots: Ecological Principles to Human–Robot Interaction Design

Cited by 15 publications

References 80 publications

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

Soft-assembled human–machine perceptual systems

Exploratory movement and affordances in design

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