2 papers
cs.RO2021
Data-driven Actuator Selection for Artificial Muscle-Powered Robots
Taylor West Henderson, Yuheng Zhi, Angela Liu +1
Even though artificial muscles have gained popularity due to their compliant, flexible, and compact properties, there currently does not exist an easy way of making informed decisi…
cs.LG2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin +3
The composition of elementary behaviors to solve challenging transfer learning problems is one of the key elements in building intelligent machines. To date, there has been plenty…