Closing the Loop of Human and Robot
|Title:||Closing the Loop of Human and Robot|
|Date:||October 30, 2020 (Friday)|
|Time:||2:00 pm - 3:00 pm|
|Speaker:|| Prof. LU Cewu
Research Professor at Shanghai Jiao Tong University (SJTU)
This talk is toward closing the loop of Human and Robot. We present our recent research of human activity understanding and robot learning. For Human side, we present our recent research "Human Activity Knowledge Engine (HAKE)" which largely improves human activity understanding. The improvements of Alphapose (famous pose estimator) are also introduced. For robot side, we discuss our understanding of robot task and new insight “Primitive model”. Thus, GraspNet – first dynamic grasping benchmark dataset is proposed, a novel end-to-end grasping deep learning approach is also introduced. A 3D point-level semantic embedding method for object manipulation will be discussed. Finally, we will discuss how to further close the Loop of Human and Robot.
Cewu Lu is a Research Professor at Shanghai Jiao Tong University (SJTU). Before he joined SJTU, he was a research fellow at Stanford University working under Prof. Fei-Fei Li and Prof. Leonidas J. Guibas. He got the his PhD degree from The Chinese Univeristy of Hong Kong, supervised by Prof. Jiaya Jia. He is selected as young 1000 talent plan. Prof. Lu Cewu is selected as MIT TR35 - "MIT Technology Review, 35 Innovators Under 35” (China), and Qiushi Outstanding Young Scholar （求是杰出青年学者），which is the only one AI awardee in recent 3 years. Prof. Lu serves as an Area Chair for CVPR 2020 and reviewer for 《nature》. Prof. Lu has published about 100 papers in top AI journal and conference, including 9 papers being ESI high cited paper. His research interests fall mainly in Computer Vision and Robotics Learning.
Join Zoom Meeting:
Meeting ID: 960-6251-4495
Enquiries: Miss Rachel Cheuk at Tel. 3943 8439
For more information, please refer to http://www.cse.cuhk.edu.hk/en/events