To Paint What Is Seen: A System Implementation of a Novel Conceptual Hyper-Redundant Chain Robot with Monocular Vision

This paper presents our system-level implementation on operating a hyper-redundant chain robot (HRCR) with monocular vision. The task is to let our original HRCR prototype, 3D-Trunk, to paint what it sees. The involved processes, technical issues, and solutions for achieving this task are described in this paper. This work represents also an implementation experiment on vision-based human-machine interface, potentially useful for future research and applications.