About Me
I am a senior-year undergraduate at Worcester Polytechnic Institute, majoring in Robotics Engineering, and an incoming PhD student at Northeastern University in 2025 Fall. Currently, I am a research intern working on Policy Learning for Robotic Manipulation and TAMP (Task And Motion Planning) at The Helping Hands Lab in Northeastern University, advised by Professor Robert Platt and PhD Candidate Haojie Huang. Besides, I also conducted research on multiple robotic and computer vision topics: Deep Learning Optimization for 3D Vision, FDM Printing for Soft Robotics, and Healthcare Automated Monitoring System. My research works are supervised by Prof. Ziming Zhang at VISLab@WPI, Prof. Markus P. Nemitz at Nemitz Robotics Group, and Prof. Christopher Nycz at AIM Lab. CV: Link. SoP: Link
News
- February 7, 2025: I was admitted to Northeastern University Khoury College of Computer Science as a PhD student.
- August 10, 2024: I have extended my research internship in The Helping Hands Lab at Northeastern University until August 31, 2025.
- June 30, 2024: Our paper, “Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance,” has been accepted for an Oral Presentation at IEEE/RSJ IROS 2024.
- May 1, 2024: This summer, I will join The Helping Hands Lab at Northeastern University as a research intern to work on cutting-edge robotic projects focusing on manipulations and 3D vision. Our projects will collaborate closely with Boston Dynamic AI to tackle critical challenges in robotics.
- January 31, 2024: Our paper, “Vision-based FDM Printing for Fabricating Airtight Soft Actuators,” has been accepted for an Oral Presentation at IEEE RoboSoft 2024.
Research Vision
My long-term research vision is to develop automation systems that are self-adaptive to new environments based on trustworthy data input from perception and learning motion strategies from logistics reasoning. These systems will assist humans in accomplishing challenging tasks in the physical world.
Selected Publications
MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies
Haojie Huang, Haotian Liu, Dian Wang, Robin Walters*, and Robert Platt* (* Equal Advising)
IEEE International Conference on Robotics and Automation ICRA 2025 at Atlanta USA, PDF, Project Page
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies
Haojie Huang, Karl Schmeckpeper*, Dian Wang*, Ondrej Biza*, Yaoyao Qian**, Haotian Liu**, Mingxi Jia**, Robert Platt, and Robin Walters (*, ** Equal Contribution)
Conference on Robot Learning CoRL 2024 at Munich, Germany, PDF, Project Page
GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
Haotian Liu*, Fangzhou Lin*, Ziming Zhang*, Jose Morales, Haichong Zhang, Kazunori Yamada, Vijaya B Kolachalama, Venkatesh Saligrama (* co-first author)
International Conference on Learning Representations ICLR 2025 at Singapore, PDF, Code Coming Soon
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
Haotian Liu*, Fangzhou Lin*, Haoying Zhou*, Songlin Hou*, Kazunori Yamada, Gregory S. Fischer, Yanhua Li, Haichong K. Zhang, and Ziming Zhang (* co-first author)
IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2024 at Abu Dhabi UAE, Oral Presentation, PDF, Code, PPT
Automated Control of External Ventricular Drain for Neuro-ICU
Haotian Liu, Yujie Guo, Haoran Zhang, and Matthew Duncan
Vision-based FDM Printing for Fabricating Airtight Soft Actuators
Yijia Wu*, Zilin Dai*, Haotian Liu, Lehong Wang, and Markus P. Nemitz (* co-first author)
IEEE-RAS International Conference on Soft Robotics RoboSoft 2024 at San Diego USA, Oral Presentation PDF
Services
Reviewer of: NeurIPS 2024, ICLR 2025, AISTATS 2025, ICML 2025