MetaLimbs

Sasaki, Tomoya; Saraiji, Mhd Yamen; Fernando, Charith Lasantha; Minamizawa, Kouta; İnami, Masahiko

doi:10.1145/3102163.3102166

Cited by 19 publications

(10 citation statements)

References 7 publications

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“…2). This result is crucial for robots used for human functional augmentation and prosthetics [31][32][33][34][35] , as well as teleoperation 36,37 , and suggests that the embodiment of these robots can enable better multi-task control and performance by the human user.…”

Section: Discussionmentioning

confidence: 99%

Embodiment modifies attention allotment for the benefit of dual task performance

et al. 2022

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Many everyday tasks, like walking down a street, require us to dual task to also avoid collisions of our swinging arms with other pedestrians. The collision avoidance is possible with ease because humans attend to all our (embodied) limbs. But how does the level of embodiment affect attention distribution, and consequently task performance in dual tasks? Here we examined this question with a dual task that required participants to perform a cued button-press (main task) with their right hand, while reacting to possible collisions by a moving object with a left ‘robot’ hand (secondary task). We observed that participants consistently improve main task performance when they perceived the robot hand to be embodied, compared to when they don’t. The secondary task performance could be maintained in both cases. Our results suggest that embodiment of a limb modifies attention allotment for the benefit of dual motor task performance using limbs.

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Section: Discussionmentioning

confidence: 99%

Embodiment modifies attention allotment for the benefit of dual task performance

et al. 2022

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“…The optimization of such bidirectional HMIs is not only extremely important for applied sciences (as we exemplified at the development of upper‐limb prosthetics), but also opens up new ways to study the human brain and its plasticity. Moreover, appropriate control through advanced bHMIs might even allow going beyond the biological possibilities of humans, for example, by enabling the embodiment of supernumary limbs (Kannape & Lenggenhager, ; Parietti & Asada, ; Sasaki, Saraiji, Fernando, Minamizawa, & Inami, ; Masia et al, ). Current experimental paradigms used to study the plasticity of the bodily self and underlying adaptive processes are rather simple and limited both in experimental control as well as duration of stimulation.…”

Section: Discussionmentioning

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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“…The motor drive is the typical drive method commonly used for rigid external limb robots, with Bright [4]Sasak [6] etc. designing SRLs are all driven by motors.…”

Section: Actuation Modementioning

confidence: 99%

“…Guggenheim et al [33] explored the user can adjust the movement of SRLs through tactile feedback in case of low autonomy and high autonomy. Sasaki et al [6] use force sensors to map the forces perceived by the user's feet to touch sensors, enabling the user to guide the robot's movements through haptics for a variety of active and passive assistance tasks.…”

Section: Sensory Feedback Controlmentioning

confidence: 99%

Review of Supernumerary Robotic Limbs

Zhang

Long²,

Luo³

2023

J. Phys.: Conf. Ser.

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Supernumerary robotic limbs (SRLs) are the expansion of human body. It can provide extra limbs to enhance human ability. It is a novel way to assist the existing limbs using SRLs without prejudice to the normal activities of the user’s arm. It has great application prospects in the fields of military, industry, rehabilitation training and assistance in daily life. Based on the public research results of SRLs around the world, the development state of SRLs are summarized from the mechanical architecture, actuation mode, motion intention prediction and control strategy. The technical problems for SRLs are analyzed and their future technical development is given.

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MetaLimbs

Cited by 19 publications

References 7 publications

Embodiment modifies attention allotment for the benefit of dual task performance

Embodiment modifies attention allotment for the benefit of dual task performance

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

Review of Supernumerary Robotic Limbs

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