Optimizing a Continuum Manipulator’s Search Policy Through Model-Free Reinforcement Learning
Chase Frazelle,Jonathan Rogers,Ioannis Karamouzas,Ian Walker,Chase Frazelle,Jonathan Rogers,Ioannis Karamouzas,Ian Walker
Continuum robots have long held a great potential for applications in inspection of remote, hard-to-reach environments. In future environments such as the Deep Space Gateway, remote deployment of robotic solutions will require a high level of autonomy due to communication delays and unavailability of human crews. In this work, we explore the application of policy optimization methods through Actor...
