TeachBot : an education system workforce development

Abstract

The shortage of skilled workers who can use robots and advanced technology is a crucial issue hampering the growth of manufacturing industries. We present a new type of workforce training system using a collaborative robot and online learning system for expanding the user base of robots. TeachBot is a robotic instructor that delivers a series of lectures stored on an online learning site. TeachBot is also a demonstration machine that can perform spatial movements and physically interact with learners. By synergistically integrating instructions, demonstrations, and physical interactions, TeachBot creates a unique teaching methodology that is intuitive and easy to follow. A broad population of learners including youth, older workers, and people with no engineering training can be engaged and learn otherwise challenging materials. Modern brain and neuromotor control research proves that effective learning takes place when the learner simultaneously interacts with and observes an embodiment of new knowledge. We apply these findings to teaching a variety of concepts, including the principle of shaft encoders and feedback control. Learners push a joint of the TeachBot arm and observe signals coming from the encoder while feeling a restoring force feedback action. Learning by Touching enhances learning effectiveness. A pilot human subject test is conducted, and encouraging results are obtained.