Jingtao ZHANG

Address
A435. Kaiwu Bldg. of Mechanical Engineering, Tongji Univ.,
No. 4800 Cao An Rd., Shanghai 201804, P. R. China

  • Research Interests

      • Swarm Robotics
      Research on Dynamic Environment Collaborative Perception Based on Intelligent Swarm Robotics


  • Presentations

      • [4] 2019.07.27 Multi-robot Cooperation Strategy in a Partially Observable Markov Game Using Enhanced Deep Deterministic Policy Gradient. ICSI2019. Chiang Mai. Thailand.
      [3] 2018.12.14 A Resource Management Algorithm for Real-time Response of Mobile Ad hoc Cloud in Swarm Robotic System. ROBIO2018. Kuala Lumpur. Malaysia.
      [2] 2018.12.01 Research on Dynamic Environment Collaborative Perception Based on Intelligent Swarm Robotics. Tongji University. Shanghai, China.
      [1] 2017.12.24 Research on Distributed Swarm Robotics Communication Network Based on Cloud Computing. Tongji University. Shanghai, China.


  • Publications

      • black: published， green: accepted for publication，red: submitted for publication
      [9] Zhongqun Zhang, Jingtao Zhang, and Qirong Tang*. Mask R-CNN based Semantic RGB-D SLAM for Dynamic Scenes. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 8-12, 2019, Hong Kong, China, pp 1151-1156.
      [8] Qirong Tang*, Haibo Tu, Jingtao Zhang, and Fangchao Yu. A Multifunctional Auxiliary System for the Autonomous Flying and Localization of Quadrotors. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 8-12, 2019, Hong Kong, China, pp 1181-1186.
      [7] Qirong Tang*, Zhipeng Xu, Fangchao Yu, Zhongqun Zhang, and Jingtao Zhang. Dynamic Target Searching and Tracking with Swarm Robots Based on Stigmergy Mechanism. (Journal) Robotics and Autonomous Systems, 13 pages, 2019 (accepted for publication).
      [6] Qirong Tang*, Jingtao Zhang, Fangchao Yu, Pengjie Xu, and Zhongqun Zhang. Multi-robot Cooperation Strategy in a Partially Observable Markov Game Using Enhanced Deep Deterministic Policy Gradient. Proceedings of the 10th International Conference on Swarm Intelligence, July 26-30, 2019, Chiang Mai, Thailand. Collected in Lecture Notes in Computer Science book series, vol 11656, pp 3-10.
      [5] Qirong Tang*, Fangchao Yu, Yuan Zhang, and Jingtao Zhang. A Stigmergetic Method Based on Vector Pheromone for Target Search with Swarm Robots. Journal of Experimental & Theoretical Artificial Intelligence, 22 pages (accepted for publication).
      [4] Qirong Tang*, Jingtao Zhang, Fangchao Yu, Yuan Zhang, and Zhongqun Zhang. A Resource Management Algorithm for Real-time Response of Mobile Ad hoc Cloud in Swarm Robotic System. Proceedings of the IEEE International Conference on Robotics and Biomimetics, Dec. 12-15, 2018, Kuala Lumpur, Malaysia, pp 1171-1176.
      [3] Qirong Tang*, Yuan Zhang, Fangchao Yu, and Jingtao Zhang. An Obstacle Avoidance Method for Cooperative Transportation with Multiple Mobile Manipulators Based on Featherstone Algorithm. Proceedings of the International Symposium on Multibody Dynamics in Aerospace and Robotics Engineering, September 25-29, 2018, Beijing, China, pp 1-2.
      [2] Qirong Tang*, Yuan Zhang, Fangchao Yu, and Jingtao Zhang. An Obstacle Avoidance Approach Based on System Outlined Rectangle for Cooperative Transportation of Multiple Mobile Manipulators. Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, August 24-27, 2018, Shenyang, China, pp 533-538.
      [1] Yuan Zhang, Fangchao Yu, Jingtao Zhang, Zhipeng Xu, and Qirong Tang*. An Energy Minimized Obstacle Avoidance Method for Cooperative Transportation with Multiple Mobile Manipulators. Proceedings of the 9th Asian Conference on Multibody Dynamics, August 19-23, 2018, Xi’an, China, pp 1-2.


  • None Academic Affair

    •         Deal with financial reimbursement