Dry goods: mechanical intelligence in the manufacturing industry
From 2011 to 2015, in the Swiss Federal Lausanne Polytechnic (EPFL) for a doctorate, research direction for the robot learning and man-machine coordination interaction. The doctoral thesis was nominated for the EPFL Excellent Doctoral Dissertation Award and the ABB Automation Award. The dynamic self-adaptive research work of robot robots is selected by the National Institute of Standards and Technology (NIST) as the standard test method of robot based on sensing efficiency.
Has published a high level of SCI / EI papers nearly 20, was cited more than 100 times, H-index 6. Many times invited to do technical reports in IROS, ICRA, CASE, organization IROS, ICRA robot crawl seminar, initiated and organized the first China Cooperative Robot Seminar. (RAS), Journal of Sensor, Journal of the People's Republic of China, IEEE Transactions on Robotics (TRO), Autonomous Robots (AR), Robots and Autonomous Systems (RAS) Robotic Systems and other top conferences and journals. Take the EPFL robot practice course (master's course) teaching, guide the master's thesis and the robot semester project. Has long been engaged in robotic smart hand grab planning and intelligent control, the main research around the advanced machine learning algorithm used in complex mechanical system control and design.
FOCUS ON CYLINDER DEVELOPMENT
Higher cost performance, better compatibility
Longer service life, lower failure rate