The emphasis on the simplification of cognitive and motor tasks by recent results of morphological computation has rendered possible the construction of appropriate“mimetic bodies”able to render accompanied computat...The emphasis on the simplification of cognitive and motor tasks by recent results of morphological computation has rendered possible the construction of appropriate“mimetic bodies”able to render accompanied computations simpler,according to a general appeal to the“simplexity”of animal embodied cognition.A new activity of what we can call“distributed computation”holds the promise of originating a new generation of robots with better adaptability and restricted number of required control parameters.The framework of distributed computation helps us see them in a more naturalized and prudent perspective,avoiding ontological or metaphysical considerations.Despite these progresses,there are still problems regarding the epistemological limitations of computational modeling remain to be solved.展开更多
In this article I will address the issue of the meaning of Embodied Artificial Intelligence(EAI)as it is configured today.My starting point is the refined interactive perspective on the semantics of EAI,as was recentl...In this article I will address the issue of the meaning of Embodied Artificial Intelligence(EAI)as it is configured today.My starting point is the refined interactive perspective on the semantics of EAI,as was recently suggested by Froese and colleagues.This perspective rests on the assumption that the concept of human bodily subjectivity must be extended to include meaning-making processes,which are enabled by advanced AI systems that may be incorporated in the human biological body.After having clarified the technical background,I will introduce the genetic component of the phenomenological method as a suitable tool to face the aforementioned issue.Towards this end,I will place the genetic method in the context of the so-called New Human-Machine Interaction(New HMI).I will further outline a genetic phenomenology of visual embodiment,suggesting a futuristic application based on the thesis of the“technological supplementation of phenomenological methodology”through the synthetic method.The case at stake is that of patients with a severe clinical picture characterised by the loss of corneal function,who in the near future could be treated with synthetic corneal prosthetic implants produced by a 3D bio-printing process by using an advanced EAI technique.I will conclude this article with a brief review of the main problems that still remain open.展开更多
Biological undulation enables legless creatures to move naturally,and robustly in various environments.Consequently,many kinds of undulating robots have been developed.However,the fundamental mechanism of biological u...Biological undulation enables legless creatures to move naturally,and robustly in various environments.Consequently,many kinds of undulating robots have been developed.However,the fundamental mechanism of biological undulation gait generation has not yet been well explained,which hinders deepening the investigation and optimization of these robots.Towards developing a theory for explaining this biological behavior,which will further guide the design of artificial undulation systems,we propose a hypothesis based on both biological findings and previous robotics studies.To verify the hypothesis,we investigate embodied intelligence of undulation locomotion via a mechanical system.Through experimental study,we observe the phenomenon that undulation gait is a production of the source,which is the torque inputs,and the filter,which is the natural dynamics of the system.We further derive a general mathematical model and conduct morphological computation accordingly.From a simple model to a complicated system,our work explores the principles of undulation gait generation.Our findings significantly simplify the control system design of artificial undulating systems.展开更多
文摘The emphasis on the simplification of cognitive and motor tasks by recent results of morphological computation has rendered possible the construction of appropriate“mimetic bodies”able to render accompanied computations simpler,according to a general appeal to the“simplexity”of animal embodied cognition.A new activity of what we can call“distributed computation”holds the promise of originating a new generation of robots with better adaptability and restricted number of required control parameters.The framework of distributed computation helps us see them in a more naturalized and prudent perspective,avoiding ontological or metaphysical considerations.Despite these progresses,there are still problems regarding the epistemological limitations of computational modeling remain to be solved.
文摘In this article I will address the issue of the meaning of Embodied Artificial Intelligence(EAI)as it is configured today.My starting point is the refined interactive perspective on the semantics of EAI,as was recently suggested by Froese and colleagues.This perspective rests on the assumption that the concept of human bodily subjectivity must be extended to include meaning-making processes,which are enabled by advanced AI systems that may be incorporated in the human biological body.After having clarified the technical background,I will introduce the genetic component of the phenomenological method as a suitable tool to face the aforementioned issue.Towards this end,I will place the genetic method in the context of the so-called New Human-Machine Interaction(New HMI).I will further outline a genetic phenomenology of visual embodiment,suggesting a futuristic application based on the thesis of the“technological supplementation of phenomenological methodology”through the synthetic method.The case at stake is that of patients with a severe clinical picture characterised by the loss of corneal function,who in the near future could be treated with synthetic corneal prosthetic implants produced by a 3D bio-printing process by using an advanced EAI technique.I will conclude this article with a brief review of the main problems that still remain open.
基金supported by Fundamental Research Funds for the Central Universities,China(ZY2301,BH2316,buctrc202215)the National Natural Science Foundation of China(62273340)the Natural Science Foundation of China Liaoning Province(2021-MS-031).
文摘Biological undulation enables legless creatures to move naturally,and robustly in various environments.Consequently,many kinds of undulating robots have been developed.However,the fundamental mechanism of biological undulation gait generation has not yet been well explained,which hinders deepening the investigation and optimization of these robots.Towards developing a theory for explaining this biological behavior,which will further guide the design of artificial undulation systems,we propose a hypothesis based on both biological findings and previous robotics studies.To verify the hypothesis,we investigate embodied intelligence of undulation locomotion via a mechanical system.Through experimental study,we observe the phenomenon that undulation gait is a production of the source,which is the torque inputs,and the filter,which is the natural dynamics of the system.We further derive a general mathematical model and conduct morphological computation accordingly.From a simple model to a complicated system,our work explores the principles of undulation gait generation.Our findings significantly simplify the control system design of artificial undulating systems.
