Welcome to robotics and artificial intelligence lab

Robotics And Artificial Intelligence Lab

Laboratory work in the field of robotics is divided into three parts: industrial robots, service robots and robot World Cup (RoboCup). Industrial robots start with multi-robot collaboration and support precise modeling of multiple robots, including Delta robots, Scara robots, 6-axis tandem robots, etc. High-speed synchronization with error of less than 1 microsecond, multi-robots using a single controller Coordinate control; Integrated vision system to improve the automation of production to achieve multi-robot intelligent collaboration; Support the calibration function, greatly reducing the robot's pose error, improve the robot's absolute accuracy; According to different drivers and motors, to provide performance optimization, planning Out of the best performance. Service robots are mainly used to help the elderly help disabled, explosion-proof rescue, picking and handling scenes. By adding robotic arm to the mobile robot platform to complete a variety of tasks. In this direction, we mainly solve two core issues: how to identify the environment, how to construct the map and how to locate it; how to realize the task of trajectory planning, obstacle avoidance and target grasping based on the learning so as to finally realize the dexterous movement and operation. In the robot scientific research process, a new direction came into being, namely 3D vision. Laboratory 3D vision research is mainly based on RGB-D images, combined with the traditional computer vision, machine learning and depth learning algorithms, some of the three-dimensional visual recognition and detection algorithm research and implementation, is committed to building a universal, high-precision, Can be applied to the robot three-dimensional visual system. The system breaks the constraints of two-dimensional vision system and makes up for the deficiency of two-dimensional vision. It not only can detect the targets of various shapes and poses in complex environment, but also can calculate the precise position and attitude of the target and can apply the result To the robot, to complete the complex crawl task.

Qijun Chen

Robotics And Artificial Intelligence Lab

In 1987 graduated from Huazhong University of Science and Technology (formerly Huazhong Institute of Technology) Department of Automation, Xi'an Jiaotong University in 1990 by the Department of Information and Control Engineering master's degree, 1999 by Tongji University Department of Electrical Engineering doctorate. Now Tongji University Department of Control Science and Engineering Professor, doctoral tutor, Tongji University Dean of Electronics and Information Engineering. Visiting professor at the University of Hagen in Germany (2002), Visiting Scholar UC Berkeley (2008), visiting scholar at ETH Zurich in Switzerland (2010), visiting scholar at the University of Southern California (2012). National Professional Standardization Technical Committee, the Ministry of Education Automated Teaching Steering Committee, the Chinese Association of Automation, Automation Technology Association of Automation Technology Committee, the Chinese Association of Automation, deputy director of Intelligent Automation Committee, the Chinese Society of artificial intelligence Professional Committee of the Standing Committee, Shanghai Institute of Automation vice chairman. Presided over the National Natural Science Foundation of key projects, surface projects, the Sino-Japanese government international cooperation projects, Sino-US NIH international cooperation projects, the National 863 Program, the national science and technology support programs and various provincial and ministerial key projects more than 10 items. Published 2 books, 1 monograph, published more than 170 papers, the Shanghai Science and Technology Progress Award 2 times, second prize 2 times, Ministry of Education Science and Technology Progress Award 1 times. It was selected by the Ministry of Education's New Century Excellent Talents Program, Shanghai Excellent Academic Leader Program, Shanghai Shuguang Scholar Program, Shanghai Shuguang Tracking Program and Shanghai's Leading Talent, and received special government allowances from the State Council. The main research directions: robotics and artificial intelligence, driverless, machine vision, embedded systems and their applications.

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Robotics And Artificial Intelligence Lab
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