A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations

In-process tool condition forecasting based on a deep learning method

(2020) Huibin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Industrial robotic machining: a review

(2019) Wei Ji et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Advanced cutting tools and technologies for drilling carbon fibre reinforced polymer (CFRP) composites: A review

(2019) Norbert Geier et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

Positioning error compensation on two-dimensional manifold for robotic machining

(2019) Weidong Zhu et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Tool condition monitoring techniques in milling process — a review

(2019) T. Mohanraj et al.   Journal of Materials Research and Technology-JMR&T

A closed-loop error compensation method for robotic flank milling

(2019) Gang Xiong et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Influence of machining parameters and tool structure on cutting force and hole wall damage in drilling CFRP with stepped drills

(2018) Xinyi Qiu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Influencing factors and theoretical modeling methods of surface roughness in turning process: State-of-the-art

(2018) C.L. He et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Robotics in Industry—Their Role in Intelligent Manufacturing

(2018) Chia-Peng Day   Engineering

Assessment of the suitability of industrial robots for the machining of carbon-fiber reinforced polymers (CFRPs)

(2018) Mohamed Slamani et al.   Journal of Manufacturing Processes

Chatter stability in robotic milling

(2018) Marcel Cordes et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Experimental study of the process failure diagnosis in additive manufacturing based on acoustic emission

(2018) Haixi Wu et al.   MEASUREMENT

A Gaussian process–based approach to cope with uncertainty in structural health monitoring

(2016) Hessamodin Teimouri et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Nonparametric statistical learning control of robot manipulators for trajectory or contour tracking

(2015) Cong Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Analysis of trajectory deviation during high speed robotic trimming of carbon-fiber reinforced polymers

(2014) Mohamed Slamani et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Integrated approach to robotic machining with macro/micro-actuation

(2014) Ulrich Schneider et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Advanced monitoring of machining operations

(2010) R. Teti et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

A review of machining monitoring systems based on artificial intelligence process models

(2009) Jose Vicente Abellan-Nebot et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY