Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands
Liam Schramm,Avishai Sintov,Abdeslam Boularias,Liam Schramm,Avishai Sintov,Abdeslam Boularias
Transfer learning is a popular approach to bypassing data limitations in one domain by leveraging data from another domain. This is especially useful in robotics, as it allows practitioners to reduce data collection with physical robots, which can be time-consuming and cause wear and tear. The most common way of doing this with neural networks is to take an existing neural network, and simply trai...
