Generating Tutoring Feedback in an Intelligent Training System on a Robotic Simulator
نویسندگان
چکیده
Manipulating the Space Station Remote Manipulator (SSRMS), known as “Canadarm II”, on the International Space Station (ISS) is a very challenging task. The astronaut does not have a direct view of the scene of operation and must rely on cameras mounted on the manipulator and at strategic places of the environment where it operates. In this paper, we present Roman Tutor, an intelligent robotic simulator we are developing to address this kind of problem. We also show how a new approach for robot path planning called FADPRM could be used to provide amazingly useful tutoring feedback for training on such a manipulator and under this big constraint of restricted sight.
منابع مشابه
An Approach to Intelligent Training on a Robotic Simulator Using an Innovative Path-Planner
In this paper, we describe the open knowledge structure of Roman Tutor, a simulation-based intelligent tutoring system we are developing to teach astronauts how to manipulate the Space Station Remote Manipulator (SSRMS), known as “Canadarm II”, on the International Space Station (ISS). We show that by representing the complex ISS-related knowledge in the form of a threelayered architecture with...
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