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.

email  /  CV  /  google scholar  /  Twitter

• 09/19/2023: Thrilled to announce that GraspGPT has been officially accepted by IEEE Robotics and Automation Letters. Great thanks to all the collaborators!
• 09/15/2023: Our latest work on object rearrangement, titled "Efficient Object Rearrangement via Multi-view Fusion", is now available on arxiv
• 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.
• 06/29/2023: I'm attending the CCF Advanced Disciplines Lectures on Embodied AI from 6.30 to 7.2 in Tsinghua University, Beijing.
• 06/22/2023: One paper on visual language grasping has been accepted to IEEE/RSJ IROS 2023. Check the preprint version here. See you in Detroit!

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.
   arxiv / 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.
   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

• Graduate Teaching Assistant: EE 5346 - Autonomous Robot Navigation, Spring 2023.
• Graduate Teaching Assistant: EE 101 - Electronic and Information Technology for Metaverse, Fall 2023.

• IEEE Robotics and Automation Letters (RAL) Reviewer, 2023.
• IEEE/RSJ IROS Reviewer, 2022-23.
• IEEE ICRA 2021 Organizing Committee & Outstanding Volunteer, 2021.

last updated: July 2023 | template from here