作者: Andrew H. Fagg , Roderic A. Grupen , Michael T. Rosenstein , Robert Platt , John D. Sweeney
DOI:
关键词: Supervisory control 、 Social robot 、 Robot 、 Humanoid robot 、 Interface (computing) 、 Control theory 、 Haptic technology 、 GRASP 、 Robot control 、 Computer science 、 Human–computer interaction 、 Simulation
摘要: For this demonstration, participants have the opportunity to control a humanoid robot located hundreds of miles away. The general task is reach, grasp, and transport various objects in vicinity robot. Although remote "pick-and-place" operations sort form basis numerous practical applications, they are frequently error-prone fatiguing for human operators. Participants can experience relative difficulty manipulation both with without use an assistive interface. This interface simplifies by injecting artificial intelligence key places seizing higher-level from operator. In particular, we demonstrate benefits two components system: video display predicted operator intentions, haptic-based controller automated grasping.