Chongqing Institute of Green and Intelligent Technology , Chinese Academy of Sciences
Faculty
Yongting Zhao
  • Senior engineer
  • Doctor
  • zhaoyongting@cigit.ac.cn
Resume
Senior engineer, long-term research in robotics and artificial intelligence. The main research direction is robot, intelligent manufacturing, artificial intelligence and so on. As a technical backbone has participated in Chongqing Science and technology project, Chongqing121 science and technology demonstration project, Chongqing151science and technology major projects.He has taken charge of a number of technical projects on Intelligent Manufacturing and machine vision commissioned by enterprises, including as a technical leader or key personnel, a series-parallel robot, an underwater Android and a textile robot were developed. The first automatic flexible packaging production line for PCB and the first intelligent delivery line for pig slaughter in China were completed. More than 20 patents were granted, and more than 10 high-level papers such as SCI and EI were published.
Research Fields
 Robotics,Artificial Intelligence
Social Employment
 
Awards and Honors
 
Representative Papers

[1]Chen, Lin; Zhao, Yongting; Zhao, Huanjun; Zheng, Bin;Non-communication decentralized multi-robot collision avoidance in grid map workspace with double deep q-network;Source: Sensors (Switzerland), v 21, n 3, p 1-15, February 1, 2021

[2]Zhao, Yongting; Xiao, Yanghui; Tong, Xinxin; Zhu, DanTarget state estimation based on particle filterYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, v 32, n 12 SUPPL., p 36-40, December 2011 Language: Chinese

[3] Zhao, Yongting ; Zheng, Bin; Li, Haochen; FRCNN-Based DL Model for Multiview Object Recognition and Pose Estimation; Chinese Control Conference, CCC, v 2018-July, p 9487-9494, October 5, 2018, Proceedings of the 37th Chinese Control Conference, CCC 2018

[4]Li Haochen,Zheng Bin,Sun Xiaoyong,Zhao Yongting.Cnn-based Model for Pose Detection of Industrial PCB. 2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA 2017). ICICTA 2017,  v 2017-October, p 390-393 .EI  Accession number: 20182105233377

[5]Liu Canglong, Zheng Bin, Wang Chunyang*, Zhao Yongting,Fu Shun,Li haochen.CNN-Based Vision Model for Obstacle Avoidance of Mobile Robot. 3rd International Conference on Mechanical, Electronic and Information Technology EngineeringICMITE 2017.MATEC Web of Conferences, v 139, 00007. EI  Accession number: 20175304593547

[6]Wu Yuheng*,Zheng Bin*,Zhao Yongting*. Dynamic Gesture Recognition Based on LSTM-CNN. 2018 Chinese Automation Congress (CAC). CAC 2018, p 2446-2450, 2018 EI Accession number:20191106633352

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