Seguir
John W. Yao
John W. Yao
Graduate Research Assistant, Robotics Institute, Carnegie Mellon University
Dirección de correo verificada de cmu.edu - Página principal
Título
Citado por
Citado por
Año
Autonomous cave surveying with an aerial robot
W Tabib, K Goel, J Yao, C Boirum, N Michael
IEEE Transactions on Robotics 38 (2), 1016-1032, 2021
452021
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps.
W Tabib, K Goel, JW Yao, M Dabhi, C Boirum, N Michael
Robotics: Science and Systems 2, 2019
332019
Fast and agile vision-based flight with teleoperation and collision avoidance on a multirotor
A Spitzer, X Yang, J Yao, A Dhawale, K Goel, M Dabhi, M Collins, ...
Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020
182020
Experience-Based Models of Surface Proximal Aerial Robot Flight Performance in Wind
JW Yao, VR Desaraju, N Michael
International Symposium on Experimental Robotics, 2016
62016
Resource-Constrained State Estimation with Multi-Modal Sensing.
JW Yao
Carnegie Mellon University, USA, 2020
12020
Predicting Feature-Based Visual Odometry Failure using Luminance Saliency
M Lee, J Yao, N Michael
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–6