CV

Research Interests

Robotic manipulation and grasping. Reinforcement Learning (RL) for Vision-Language-Action (VLA) models.

Education

• Ph.D. Candidate in Robotics and Smart Manufacturing, SUSTech (joint Ph.D. program with ZGCA; Expected 2027)
  Advisors: Prof. Yue Wang (ZGCA), Prof. Hong Zhang (SUSTech)
• M.S. in Electronic Science and Technology, SUSTech (2022–2024)
  Advisor: Prof. Hong Zhang
• B.E. in Information Engineering, South China Normal University (2018–2022)

Experience

• Algorithm Intern, SenseTime (Yuan Luobo Robotics), 2024
  Contributed to algorithm development and deployment for self-developed mobile manipulation robots.

Selected Publications

• Huang, Dehao, Wenlong Dong, Chao Tang, Hong Zhang. HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models. IROS 2025.
  Paper · Video · Code
• Huang, Dehao, Chao Tang, Hong Zhang. Efficient Object Rearrangement via Multi-view Fusion. ICRA 2024.
  Paper · Video
• Tang, Chao, Huang, Dehao, Wenlong Dong, Ruinian Xu, Hong Zhang. FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models. IEEE T-ASE 2025.
  Paper · Video
• Tang, Chao, Huang, Dehao, Wenqi Ge, Weiyu Liu, Hong Zhang. GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping. IEEE RA-L 2023.
  Paper · Video
• Shao, Chenyang, Huang, Dehao, et al. OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists. arXiv 2025.
  Paper

Competitions

• RoboMaster Robotics Competition (Algorithm Group Leader), 2019–2021
  Enhanced armor recognition; monocular-vision 3D positioning (PnP); ROS debugging tools; AprilTag localization and control.
• National College Students’ Smart Car Competition (Team Leader), 2020
  Ackerman model optimization; EKF fusion (odometer + IMU) for accuracy.

Awards

• 1st Academic Research Star of Zhongguancun Academy (2026)
• RoboMaster National Second Prize (2020)
• American ICM / MCM Meritorious Winner (2021)
• SCNU First-Class Scholarship (2020)
• National Undergraduate Smart Car Competition Third Prize (2020)

Skills

• Programming: Python, C/C++
• Tools: PyTorch, ROS, Git, LaTeX
• Languages: Chinese (native), English (CET-6)