Chao Tang

Hi, I’m a Robotics Ph.D. student in Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech), advised by Chair Professor Hong Zhang. My research interests involve robotic manipulation and grasping, mobile manipulation, human-robot interaction, and semantic reasoning for robots. The ultimate goal is to develop autonomous agents that can perceive, reason, and interact with the physical world with the same level of Intelligence as humans.

Previously, I received my M.S. in Electrical & Computer Engineering from Georgia Tech in 2020 (advised by Prof. Patricio Vela) and my B.Eng. in Automation from Nanjing Tech University in 2018.

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News
  • 01/29/2024: First accpted paper of 2024! Our work on object rearrangement, titled "Efficient Object Rearrangement via Multi-view Fusion", has been accpted by IEEE ICRA 2024!
  • 11/30/2023: I have successfully passed the PhD dissertation proposal titled "Vision Language Scene Understanding for Task-Oriented Grasping". Slides are publicy available here.
  • 11/14/2023: I will be attending Autonomous Robotic Technology Seminar (ARTS) held by Chinese Association of Automation (CAA) at HKUST GZ from 11.25 to 11.26.
  • 09/19/2023: Thrilled to announce that GraspGPT has been officially accepted by IEEE Robotics and Automation Letters. Great thanks to all the collaborators!
  • 07/29/2023: I have been awarded funding from the China Scholarship Council (CSC) and will be a visiting PhD student at the University of Toronto, under the supervision of Prof. Jonathan Kelly. Hello Toronto!
  • 07/26/2023: Presenting our latest work titled "GraspGPT: Leveraging Semantic Knowledge from A Large Language Model for Task-Oriented Grasping". Arxiv preprint, project website, video, and code implementation are publicly available.
Selected Publications
  1. GraspGPT: Leveraging Semantic Knowledge from A Large Language Model for Task-Oriented Grasping
    Chao Tang, Dehao Huang, Wenqi Ge, Weiyu Liu, Hong Zhang
    IEEE Robotics and Automation Letters (RA-L), 2023.
    paper / website / code / video

  2. Task-Oriented Grasp Prediction with Visual-Language Inputs
    Chao Tang, Dehao Huang, Lingxiao Meng, Weiyu Liu, Hong Zhang
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
    paper / arxiv / video

  3. Relationship Oriented Semantic Scene Understanding for Daily Manipulation Tasks
    Chao Tang, Jingwen Yu, Weinan Chen, Bingyi Xia, Hong Zhang
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
    paper / video / slides

  4. An affordance keypoint detection network for robot manipulation
    Ruinian Xu, Fujen Chu, Chao Tang, Patricio Vela
    IEEE Robotics and Automation Letters (RA-L), 2021.
    paper / code

  5. Using synthetic data and deep networks to recognize primitive shapes for object grasping
    Yunzhi Lin*, Chao Tang*, Fujen Chu, Patricio Vela (*-equal contribution)
    IEEE International Conference on Robotics and Automation (ICRA), 2020.
    paper / website /code / video
Teaching
  • Graduate Teaching Assistant: EE 5346 - Autonomous Robot Navigation, Spring 2023.
  • Graduate Teaching Assistant: EE 101 - Electronic and Information Technology for Metaverse, Fall 2023.
Activities and Services
  • IEEE Transactions on Industrial Informatics (TII) Reviewer
  • IEEE Robotics and Automation Letters (RAL) Reviewer
  • IEEE ICRA Reviewer
  • IEEE/RSJ IROS Reviewer
  • IEEE ICRA 2021 Organizing Committee & Outstanding Volunteer

last updated: Dec. 2023 | template from here