1A1-F16 State estimation method for robots with incomplete perception using Diffusion-based learning
Eisuke Kurita, Yuta Sato, Yuichi Kobayashi · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2009
We propose a state estimation method for robots with incomplete perception. There is a case that cannot robots observe the state adequately for sensor information. For example, in a task of hand position control with a manipulator, the hand cannot be seen if it is out of vision range of camera. The robot estimates virtual state with diffusion-based learning. The propose method is verified by estimating a virtual state of mobile robot with vision range of camera.