Plant Bioinspired Ecological Robotics
| Autor: | Lorenzo Jamone, Kaspar Althoefer, P. Adrian Frazier, Paco Calvo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
Computer science lcsh:Mechanical engineering and machinery Control (management) Time to contact endogenous control ecological psychology lcsh:QA75.5-76.95 Artificial Intelligence Ecological psychology bioinspired robotics lcsh:TJ1-1570 tau theory computer.programming_language Robotics and AI Class (computer programming) Creatures Movement (music) business.industry Ecology Robotics Computer Science Applications Perspective Artificial intelligence lcsh:Electronic computers. Computer science business plant signaling and behavior computer |
| Zdroj: | Frontiers in Robotics and AI, Vol 7 (2020) Frontiers in Robotics and AI |
| ISSN: | 2296-9144 |
| DOI: | 10.3389/frobt.2020.00079/full |
| Popis: | Plants move. But the nature of their movement differs dramatically from that of creatures that move their whole body from Point A to Point B. Plants grow to where they are going, and they extend themselves out and away from any one place. Bio-inspired robotics sometimes emulate plants’ growth-based movement, but growing is part of a broader system of movement guidance and control. We argue that ecological psychology’s conception of information and control and can simultaneously make sense of what it means for a plant to navigate its environment and provide a control scheme for the design of ecological plant-inspired robotics. In this effort, we will outline several control laws and give special consideration to the class of control laws identified by tau theory, such as time to contact. |
| Databáze: | OpenAIRE |
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