1. A playmate robot system for playing the rock-paper-scissors game with humans
- Author
-
Dong-Wook Lee, Dongwoon Choi, Inkyu Sa, and Ho Seok Ahn
- Subjects
Facial expression ,Social robot ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,ComputingMilieux_PERSONALCOMPUTING ,Hand motion ,080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING ,General Biochemistry, Genetics and Molecular Biology ,Motion (physics) ,Robot control ,090600 ELECTRICAL AND ELECTRONIC ENGINEERING ,Robotic systems ,Hand motion recognition, Playmate robot, Rock-paper-scissors game, Robotic hand, Robotic finger ,Artificial Intelligence ,Robot ,Computer vision ,Game management ,Artificial intelligence ,business - Abstract
We have developed a playmate robot system for playing the rock-paper-scissors game with humans. The playmate robot recognizes the hand motions of a human using image processing without attaching any additional units to the human. The playmate robot system consists of three parts: a game management part, a hand motion recognition part, and a robot hand control part. The system functions as follows. (1) Before the game is played, the game management part decides on the motion of the robot hand from amongst rock, paper, and scissors. After the game is played, the robot develops a reaction using speech and facial expressions depending on the result of the game. (2) The hand motion recognition part recognizes the hand motion of the human. It does not use any additional units on the human’s body, only a camera on the robot. (3) The robot hand control part shows the motion of the robot hand. A robot hand has four fingers that are controlled independently. We have played the rock-paper-scissors game with this playmate robot.
- Published
- 2011