Robots Need Some Education: On the complexity of learning in evolutionary robotics
Evolutionary Robotics and Robot Learning are two fields in robotics that aim to automatically optimize robot designs. The key difference between them lies in what is being optimized and the time scale involved. Evolutionary Robotics is a field that applies evolutionary computation techniques to evolve the morphologies or controllers, or both. Robot Learning, on the other hand, involves any learning technique aimed at optimizing a robot's controller in a given morphology. In terms of time scales, evolution occurs across multiple generations, whereas learning takes place within the `lifespan' of an individual robot. Integrating Robot Learning with Evolutionary Robotics requires the careful ...
| Authors | Fuda van Diggelen |
|---|---|
| Primary category | cs.RO |
| Published | 5 April 2026 |
| Last updated at source | 5 April 2026 |
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