Segui
Chris Kawatsu
Chris Kawatsu
Soar Technology Inc.
Email verificata su soartech.com
Titolo
Citata da
Citata da
Anno
Development of a fall detection system with Microsoft Kinect
C Kawatsu, J Li, CJ Chung
Robot Intelligence Technology and Applications 2012: An Edition of the …, 2013
852013
Gesture recognition for robotic control using deep learning
C Kawatsu, F Koss, A Gillies, A Zhao, J Crossman, B Purman, D Stone, ...
NDIA Ground Vehicle Systems Engineering and Technology Symposium, 2017
122017
Predicting students’ decisions in a training simulation: a novel application of trueskill
C Kawatsu, R Hubal, RP Marinier
IEEE Transactions on games 10 (1), 97-100, 2017
92017
Parameters for the hot giant dipole resonance
C Kawatsu, M Shevin
Atomic Data and Nuclear Data Tables, 2003
52003
Obstacle & lane detection and local path planning for IGVC robotic vehicles using stereo vision
C Kawatsu, J Li, CJ Chung
Robot Intelligence Technology and Applications 2: Results from the 2nd …, 2014
42014
Natural interaction for unmanned systems
G Taylor, B Purman, P Schermerhorn, G Garcia-Sampedro, M Lanting, ...
Unmanned Systems Technology XVII 9468, 14-21, 2015
32015
Real-time inspection of 3D features using sUAS with low-cost sensor suites
B Purman, C Kawatsu, A Zhao, A Gillies, M Jeffers, P Sheridan
Unmanned Systems Technology XX 10640, 149-158, 2018
2018
Automated, near real-time inspection of commercial sUAS imagery using deep learning
C Kawatsu, B Purman, A Zhao, A Gillies, M Jeffers, P Sheridan
Unmanned Systems Technology XX 10640, 12-19, 2018
2018
Compilation of hot Giant Dipole Resonance Parameters
A Schiller, M Thoennessen, C Kawatsu, M Shevin
APS Division of Nuclear Physics Meeting Abstracts 27, CD. 012, 2004
2004
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–9