Instructing Tacit Knowledge: Epistemologies of Sensory-Based Robotic Systems

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Abstract:

The article tries to outline the supposed precarity of the body (or body-bound knowledge) in the context of AI-based environments by re-negotiating the borders of formalizing material-based, cognitive and tacit knowledge in regards to the (robotic) gesture (of grasping). In the following, it will be a matter of tracing the epistemes underlying this simulation that relies on specific instructions, which is understood in this context as a specific rule or command and hence by nature an explicit directive to execute a task on a behavioral level.  How concepts of embodied knowledge are inscribed in the fabrication of the systems, how they can be recognized and how human corporeal involvement can be described on different levels of fabrication and use, is therefore part of the analysis: For the special case of humanoid designed robots the challenges are located in the anthropomimetic fabrication on a computational level, as well as in the production of anthropomorphic design and thus connects to a specific knowledge of the human movement and the human sensory apparatus.