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pro vyhledávání: '"Jay Ming Wong"'
Autor:
Jimmy Wu, Rahul Chipalkatty, Vincent Kee, Gian Luca Mariottini, Mitchell Hebert, Abraham Schneider, Jay Ming Wong, Tiffany Le, Lei Hamilton, Syler Wagner, Bolei Zhou, Antonio Torralba, David M. S. Johnson
Publikováno v:
IROS
arXiv
arXiv
Recent robotic manipulation competitions have highlighted that sophisticated robots still struggle to achieve fast and reliable perception of task-relevant objects in complex, realistic scenarios. To improve these systems' perceptive speed and robust
Autor:
Roderic A. Grupen, Mitchell Hebert, Tiffany Q. Liu, Takeshi Takahashi, Dirk Ruiken, Jay Ming Wong, Michael W. Lanighan
Publikováno v:
IROS
This paper presents an active, model-based recognition system. It applies information theoretic measures in a belief-driven planning framework to recognize objects using the history of visual and manual interactions and to select the most informative
Autor:
Jay Ming Wong, Roderic A. Grupen
Publikováno v:
ICDL-EPIROB
We present a long-term intrinsically motivated structure learning method for modeling transition dynamics during controlled interactions between a robot and semi-permanent structures in the world. In particular, we discuss how partially-observable st
Publikováno v:
Humanoids
We propose an algorithm for planning the velocity of a vehicle on a pre-planned path applicable to differentially steered, zero turn radius, mobile robots with symmetric mass distribution about the turn axis. This approach uses estimates of path curv
Autor:
Roderic A. Grupen, Shlomo Zilberstein, Jay Ming Wong, Takeshi Takahashi, Richard G. Freedman, Yu-kyong Choe, Hee-Tae Jung
Publikováno v:
2015 IEEE International Conference on Rehabilitation Robotics (ICORR).
This paper considers a data-driven framework to model target selection strategies using runtime kinematic parameters of individual patients. These models can be used to select new exercise targets that conform with the decision criteria of the therap