The dynamic motion primitive-based (DMP) method is effective for learning from demonstrations. However, most current DMP-based methods focus on learning one task with one module. Although, some deep ...

Error-based and reward-based mechanisms of motor learning co-occur in real-world scenarios but are traditionally isolated in laboratory tasks via feedback manipulations. We examined the ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.