Houxiang Zhang
Houxiang Zhang
Professor, Intelligent Systems Lab, Norwegian University of Science and Technology
Verified email at - Homepage
Cited by
Cited by
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
AL Ellefsen, E Bjørlykhaug, V Æsøy, S Ushakov, H Zhang
Reliability Engineering & System Safety 183, 240-251, 2019
Sky cleaner 3: a real pneumatic climbing robot for glass-wall cleaning
H Zhang, J Zhang, G Zong, W Wang, R Liu
IEEE Robotics & Automation Magazine 13 (1), 32-41, 2006
Three-dimensional point cloud plane segmentation in both structured and unstructured environments
J Xiao, J Zhang, B Adler, H Zhang, J Zhang
Robotics and Autonomous Systems 61 (12), 1641-1652, 2013
A comprehensive survey of prognostics and health management based on deep learning for autonomous ships
AL Ellefsen, V Æsøy, S Ushakov, H Zhang
IEEE Transactions on Reliability 68 (2), 720-740, 2019
A series of pneumatic glass-wall cleaning robots for high-rise buildings
H Zhang, J Zhang, W Wang, R Liu, G Zong
Industrial Robot: An International Journal 34 (2), 150-160, 2007
Locomotion capabilities of a modular robot with eight pitch-yaw-connecting modules
J Gonzalez-Gomez, H Zhang, E Boemo, J Zhang
9th international conference on climbing and walking robots 1, 2, 2006
A novel reconfigurable robot for urban search and rescue
H Zhang, W Wang, Z Deng, G Zong, J Zhang
International Journal of Advanced Robotic Systems 3 (4), 48, 2006
Planar Segment Based Three‐dimensional Point Cloud Registration in Outdoor Environments
J Xiao, B Adler, J Zhang, H Zhang
Journal of Field Robotics 30 (4), 552-582, 2013
Controlling Kuka industrial robots: Flexible communication interface JOpenShowVar
F Sanfilippo, LI Hatledal, H Zhang, M Fago, KY Pettersen
IEEE Robotics & Automation Magazine 22 (4), 96-109, 2015
A Hybrid Approach to Motion Prediction for Ship Docking—Integration of a Neural Network Model Into the Ship Dynamic Model
R Skulstad, G Li, TI Fossen, B Vik, H Zhang
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020
Neural-network-based modelling and analysis for time series prediction of ship motion
G Li, B Kawan, H Wang, H Zhang
Ship technology research 64 (1), 30-39, 2017
Using EEG for Mental Fatigue Assessment: A Comprehensive Look Into the Current State of the Art
TG Monteiro, C Skourup, H Zhang
IEEE Transactions on Human-Machine Systems 49 (6), 599-610, 2019
A novel densely connected convolutional neural network for sea-state estimation using ship motion data
X Cheng, G Li, AL Ellefsen, S Chen, HP Hildre, H Zhang
IEEE Transactions on Instrumentation and Measurement 69 (9), 5984-5993, 2020
Crawling gait realization of the mini-modular climbing caterpillar robot
W Wang, K Wang, H Zhang
Progress in Natural Science 19 (12), 1821-1829, 2009
Development of a low-cost flexible modular robot GZ-I
H Zhang, J Gonzalez-Gomez, Z Me, S Cheng, J Zhang
2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2008
Intelligent lighting control for vision-based robotic manipulation
SY Chen, J Zhang, H Zhang, NM Kwok, YF Li
IEEE Transactions on Industrial Electronics 59 (8), 3254-3263, 2011
Requirements of glass cleaning and development of climbing robot systems
H Zhang, J Zhang, G Zong
2004 International Conference on Intelligent Mechatronics and Automation …, 2004
Analysis of the kinematics of module climbing caterpillar robots
W Wang, Y Wang, K Wang, H Zhang, J Zhang
2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2008
Locomotion principles of 1D topology pitch and pitch-yaw-connecting modular robots
J González Gómez, H Zhang, EI Boemo
Bioinspiration and robotics walking and climbing robots, 2007
Fast plane detection for SLAM from noisy range images in both structured and unstructured environments
J Xiao, J Zhang, J Zhang, H Zhang, HP Hildre
2011 IEEE International Conference on Mechatronics and Automation, 1768-1773, 2011
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