A Model Predictive Approach to Control the Motion of a Virtual Player in the Mirror Game
Zhai, Chao; Alderisio, Francesco; Tsaneva-Atanasova, Krasimira; et al.Di Bernardo, Mario
Date: 15 December 2015
Publisher
IEEE
Abstract
In this paper, we focus on the design of a feedback controller that drives a virtual player to follow or lead a human player in the mirror game. The movement of the end-effector of the virtual player is modeled by means of a feedback controlled
Haken-Kelso-Bunz (HKB) oscillator or a damped harmonic oscillator, which is coupled with ...
In this paper, we focus on the design of a feedback controller that drives a virtual player to follow or lead a human player in the mirror game. The movement of the end-effector of the virtual player is modeled by means of a feedback controlled
Haken-Kelso-Bunz (HKB) oscillator or a damped harmonic oscillator, which is coupled with the observed motion of the
human player measured in real time. A model predictive control algorithm is developed for the virtual player to generate humanlike trajectories while maintaining individual motor signature and guaranteeing bounded tracking error. Experimental results based on a prototype setup show the effectiveness of our strategy and its advantages over other existing algorithms.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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