About

About

The School of Robotics is one of the seven industry-themed schools in the XJTLU Entrepreneur College (Taicang). Each School consists of an Education, Research and Development Institute (ERDI) to support teaching, research collaboration and industry engagement; a comprehensive School Office providing professional services to support student administration and activities, members of staff, and industry partners; and an affiliated School Joint-Venture Company jointly established by XJTLU and the School’s partner for industry-embedded teaching, learning, practical, and other activities.

The School offers the BEng (Hon) Intelligent Robotics Engineering with Contemporary Entrepreneurialism.

The School’s founding partner, working in collaboration with the University to co-develop the School of Robotics, is Siasun Robot & Automation Co. Ltd., based in Shanghai. Siasun is committed to creating a leading-edge international, innovative and platform-based ecosystem for the robotics industry. Siasun’s main businesses include intelligent robots, intelligent manufacturing, and industry incubation.

Mission and Vision

In the contemporary world, all the nations are doing their best to develop their robotics industries. Many believe it will be the next industrial hot-spot after the Internet industries. Currently, in China, several novel intelligent technologies including text recognition, speech recognition, Chinese information processing, intelligent monitoring, biological feature recognition, industrial robotics, service robotics, and self-driving cars have been growing in prominence.
Based on this, public policies have been established to support the development of artificial intelligent technologies. Development of AI technologies will soon develop rapidly and will be integrated into different industries and customers’ daily lives.
As an ideal implementation scenario for the current AI technologies, robotics technologies are developing in promoting the development of the AI technologies. As such, robotics industries will also be improved greatly in the near future.
In an effort to fulfil the needs of China’s economic development, technology progress and the development of disciplines, the School of Robotics will focus on the intelligent, automated mechanical and electronic technology and application in the context of the transformation of “Made in China” to “Intelligent Manufacturing in China”.
Fully leveraging the strong resource advantages in the field of mechanical and electrical engineering in Xi’an-Jiaotong University and the University of Liverpool, the School of Robotics will integrate mechanical electronics, computer science, automatic control, mathematics and management, bringing together technological issues in robotics science covering control science, engineering, mechanical engineering, computer science, materials science and engineering, and cognitive science.
The School aims to comprehensively apply the theories, methods and techniques of natural sciences, engineering technology, social sciences, and humanities, to study academic topics such as intelligent perception of robots, optimisation control and system design, and human-computer interaction.
Programmes provided by the School of Robotics will contain theories and practice of computer science, artificial intelligence, machine learning, intelligent automation, electrical and electronics, mechatronics, as well as industrial and service robotics. Students will receive training as robot engineers to cultivate capabilities in the design of robot products and systems, manufacturing, service, performance testing, simulation, operational control and management.

 

VISION: The vision of the School is to lead intelligent-robotics education, research and practice in China through a future-focused learning ecosystem.

MISSION: Our mission centres on these pillars of excellence:

  • To create a highly integrated intelligent robotics higher education hub connecting society, industry and university, to cultivate transdisciplinary top-technology talents embodying Syntegrative Education attributes.
  • To spearhead research-led teaching in intelligent robotics to maximise the value of research outcomes and to adopt a flexible learning and teaching experience that is multi-modal and multi-locational in line with XJTLU’s Syntegrative Education model.
  • To broker connected research through industry-led research opportunities that are mutually beneficial for the school and industrial partners.
  • To rally and facilitate whole-of-community engagement in intelligent robotics through collaboration with industries in all aspects including knowledge transfer, and focused consultancy to industrial partners.
  • To extend global reach through furthering networking possibilities with diverse global partners.
  • To predict future trends within the intelligent robotics industry, and therefore leading the industries’ sustainable development.
  • To attract excellent talents and enhance the university brand, influence and reputation nationally and internationally.