Title :
A wearable visuo-inertial interface for humanoid robot control
Author :
Sugiyama, Junichi ; Miura, Jun
Author_Institution :
Dept. of Comput. Sci. & Eng., Toyohashi Univ. of Technol., Toyohashi, Japan
Abstract :
This paper describes a wearable visuo-inertial interface for humanoid robot control, which allows a user to control motion of a humanoid robot intuitively. The interface composed of a camera and inertial sensors and estimates body motion of the user: movement (walk), hand motion, and grasping gesture. The body motion (walk) estimation is performed by a combination of a monocular SLAM and a vision-inertial fusion using an extended Kalman filter. The hand motion is also estimated by using the same motion model and sensor fusion as the body motion estimation. The estimated motion was used to operate the movement or arm motion of the humanoid robot. We conducted the experiment on robot operation. The results revealed that the user intuitively controlled the robot and it responded to the operator commands correctly.
Keywords :
Kalman filters; SLAM (robots); cameras; gesture recognition; humanoid robots; image sensors; mobile robots; motion control; motion estimation; nonlinear filters; robot vision; sensor fusion; body motion estimation; camera; extended Kalman filter; grasping gesture; hand motion; humanoid robot control; inertial sensors; monocular SLAM; motion control; motion model; operator commands; sensor fusion; vision-inertial fusion; wearable visuo-inertial interface; Cameras; Humanoid robots; Mobile communication; Robot vision systems; human robot interaction; humanoid robots;
Conference_Titel :
Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-3099-2
Electronic_ISBN :
2167-2121
DOI :
10.1109/HRI.2013.6483588