Abstract
AbstractThe transduction and processing of physical information is becoming important in a range of research fields, from the design of materials and virtual environments to the dynamics of cellular microenvironments. Previous approaches such as morphological computation/soft robotics, neuromechanics, and embodiment have provided valuable insight. This work approaches haptic, proprioception, and physical sensing as all part of the same subject. In this presentation, three design criteria for applying physical intelligence to engineering applications will be presented. These criteria have several properties in common, which inspires two types of end-effector model: stochastic (based on a spring) and deterministic (based on a piezomechanical array). The generalized behavior and output dynamics of these models can be described as three findings summarized from previous work. In conclusion, future directions for modeling neural control using a neuromorphic approach will be discussed.
Highlights
An increasing number of technological applications, from controlling virtual worlds to creating artificial organs, require intelligent physical control that meets several criteriaResearch that combines materials, “physical” perception, and intelligent control may provide a useful tool for an emerging frontier of engineering and medicine NanoScale-appropriate applications MicroHumans Scale-appropriate applications Landscapes Telerobotics Smart MaterialsCellular MicroenvironmentsImmersive Virtual Worlds
The transduction and processing of physical information is becoming important in a range of research fields, from the design of materials and virtual environments to the dynamics of cellular microenvironments
How are the reactive properties of materials and physical sensory systems characterized by intelligent control?
Summary
An increasing number of technological applications, from controlling virtual worlds to creating artificial organs, require intelligent physical control that meets several criteria. “physical” perception, and intelligent control may provide a useful tool for an emerging frontier of engineering and medicine
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