“Flying head: Head-Synchronized Unmanned Aerial Vehicle Control for Flying Telepresence”
Conference:
Experience Type(s):
Title:
- Flying head: Head-Synchronized Unmanned Aerial Vehicle Control for Flying Telepresence
Description:
We propose an unmanned aerial vehicle (UAV) control mechanism, called a “Flying Head”, which synchronizes human head and robot motions. Previous telepresence research has centered on the use of robots that move along the ground using wheels or legs. Recently, however, telepresence research has expanded to include the use of remote flying robots. The accurate manipulation of such robots, is difficult, however, as their control typically involves hand-operated devices such as proportional R/C systems or joysticks. Using the Flying Head system, we can incorporate a robot control using human motions such as walking, looking around and crouching. Our system synchronizes the operator and UAV positions in terms of the horizontal and vertical positions and the yaw orientation. The operator can use the UAV more intuitively, as such manipulations are more in accord with kinesthetic imagery. We will develop additional flying telepresence applications, such as capturing platforms, teleoperation, sports training, and healthcare.
References:
[1]
Higuchi, K., Ishiguro, Y., and Rekimoto, J. 2011. Flying eyes: free-space content creation using autonomous aerial vehicles. In Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, ACM, 561–570.
[2]
Huang, A., Bachrach, A., Henry, P., Krainin, M., Maturana, D., Fox, D., and Roy, N. 2011. Visual odometry and mapping for autonomous flight using an rgb-d camera. In Int. Symposium on Robotics Research (ISRR),(Flagstaff, Arizona, USA).
[3]
Quigley, M., Goodrich, M., and Beard, R. 2004. Semiautonomous human-uav interfaces for fixed-wing mini-uavs. In Intelligent Robots and Systems, 2004.(IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, vol. 3, IEEE, 2457–2462.
[4]
Wendel, A., Maurer, M., Graber, G., Pock, T., and Bischof, H. 2012. Dense reconstruction on-the-fly. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 1450–1457.
