Commentary: Proceedings of the First Workshop on Peripheral Machine Interfaces: Going beyond Traditional Surface Electromyography

Beckerle, Philipp

doi:10.3389/fnbot.2017.00032

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…We argue that provision of artificial touch feedback enhances bodily self-experience and that the integration of assistive devices into the bodily self improves control (Castellini et al, 2014; Beckerle, 2017). This is highly desirable whenever a human user must learn to use a robotic device as if it was a real extension of his or her body rather than a tool (Hahne et al, 2017).…”

Section: Technical Solutions For Stimulation and Sensing Devicesmentioning

confidence: 99%

Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics

et al. 2018

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The feeling of embodiment, i.e., experiencing the body as belonging to oneself and being able to integrate objects into one's bodily self-representation, is a key aspect of human self-consciousness and has been shown to importantly shape human cognition. An extension of such feelings toward robots has been argued as being crucial for assistive technologies aiming at restoring, extending, or simulating sensorimotor functions. Empirical and theoretical work illustrates the importance of sensory feedback for the feeling of embodiment and also immersion; we focus on the the perceptual level of touch and the role of tactile feedback in various assistive robotic devices. We critically review how different facets of tactile perception in humans, i.e., affective, social, and self-touch, might influence embodiment. This is particularly important as current assistive robotic devices – such as prostheses, orthoses, exoskeletons, and devices for teleoperation–often limit touch low-density and spatially constrained haptic feedback, i.e., the mere touch sensation linked to an action. Here, we analyze, discuss, and propose how and to what degree tactile feedback might increase the embodiment of certain robotic devices, e.g., prostheses, and the feeling of immersion in human-robot interaction, e.g., in teleoperation. Based on recent findings from cognitive psychology on interactive processes between touch and embodiment, we discuss technical solutions for specific applications, which might be used to enhance embodiment, and facilitate the study of how embodiment might alter human-robot interactions. We postulate that high-density and large surface sensing and stimulation are required to foster embodiment of such assistive devices.

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Section: Technical Solutions For Stimulation and Sensing Devicesmentioning

confidence: 99%

Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics

et al. 2018

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“…For instance, the machine could request that the operator performs or repeats a certain task, in order to improve its own model of the world, for example, by incremental learning (Pilarski, Dawson, et al, 2013;Pilarski, Dick, & Sutton, 2013;Nowak, Castellini, & Massironi, 2018). A major hurdle in this endeavor is potential interference between semi-autonomy and embodiment (Beckerle et al, 2017;Beckerle, 2017).…”

Section: High-density Bodily Feedbackmentioning

confidence: 99%

Robotic interfaces for cognitive psychology and embodiment research: A research roadmap

Beckerle

Castellini

Lenggenhager

2018

WIRES Cognitive Science

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Advanced human–machine interfaces render robotic devices applicable to study and enhance human cognition. This turns robots into formidable neuroscientific tools to study processes such as the adaptation between a human operator and the operated robotic device and how this adaptation modulates human embodiment and embodied cognition. We analyze bidirectional human–machine interface (bHMI) technologies for transparent information transfer between a human and a robot via efferent and afferent channels. Even if such interfaces have a tremendous positive impact on feedback loops and embodiment, advanced bHMIs face immense technological challenges. We critically discuss existing technical approaches, mainly focusing on haptics, and suggest extensions thereof, which include other aspects of touch. Moreover, we point out other potential constraints such as limited functionality, semi‐autonomy, intent‐detection, and feedback methods. From this, we develop a research roadmap to guide understanding and development of bidirectional human–machine interfaces that enable robotic experiments to empirically study the human mind and embodiment. We conclude the integration of dexterous control and multisensory feedback to be a promising roadmap towards future robotic interfaces, especially regarding applications in the cognitive sciences. This article is categorized under: Computer Science > Robotics Psychology > Motor Skill and Performance Neuroscience > Plasticity

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“…Such somatosensory feedback can convey information such as thermal and tactile properties of the object being manipulated. By doing so, they may contribute to enhancing situational awareness and aiding decision making relevant to the tasks being executed [14][15][16]. Multimodal feedback interfaces may provide effective solutions to bridging this gap and have been explored previously in several applications such as human-computer interaction and teleoperation [17,18].…”

Section: Introductionmentioning

confidence: 99%

Optimization Approach for Multisensory Feedback in Robot-Assisted Pouring Task

Marambe,

Duerstock,

Wachs

2024

Actuators

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Individuals with disabilities and persons operating in inaccessible environments can greatly benefit from the aid of robotic manipulators in performing daily living activities and other remote tasks. Users relying on robotic manipulators to interact with their environment are restricted by the lack of sensory information available through traditional operator interfaces. These interfaces deprive users of somatosensory feedback that would typically be available through direct contact. Multimodal sensory feedback can bridge these perceptual gaps effectively. Given a set of object properties (e.g., temperature, weight) to be conveyed and sensory modalities (e.g., visual, haptic) available, it is necessary to determine which modality should be assigned to each property for an effective interface design. The goal of this study was to develop an effective multisensory interface for robot-assisted pouring tasks, which delivers nuanced sensory feedback while permitting the high visual demand necessary for precise teleoperation. To that end, an optimization approach was employed to generate a combination of feedback properties to modality assignments that maximizes effective feedback perception and minimizes cognitive load. A set of screening experiments tested twelve possible individual assignments to form this optimal combination. The resulting perceptual accuracy, load, and user preference measures were input into a cost function. Formulating and solving as a linear assignment problem, a minimum cost combination was generated. Results from experiments evaluating efficacy in practical use cases for pouring tasks indicate that the solution was significantly more effective than no feedback and had considerable advantage over an arbitrary design.

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Commentary: Proceedings of the First Workshop on Peripheral Machine Interfaces: Going beyond Traditional Surface Electromyography

Cited by 7 publications

References 16 publications

Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics

Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics

Robotic interfaces for cognitive psychology and embodiment research: A research roadmap

Optimization Approach for Multisensory Feedback in Robot-Assisted Pouring Task

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