About | Haoran Hao

About Me

I am a second-year Master's in Robotics (MSR) student at Carnegie Mellon University's Robotics Institute, advised by Prof. Jeff Schneider and Prof. Jeffrey Ichnowski.
I obtained my bachelor's degree in Artificial Intelligence from Nanjing University in 2025. Previously, I had the privilege of working with Dr. Zhi Hou at Shanghai Artificial Intelligence Laboratory, Prof. Xiangyu Yue at MMLab@The Chinese University of Hong Kong, and Prof. Yu-Feng Li at Nanjing University.
I am open to discussions or collaboration opportunities. If you are interested in my work, feel free to reach out via email.

Research Interests

My research interests are broadly in Artificial Intelligence and Robotics, with a focus on Machine Learning, Multimodal Perception, and Robotic Manipulation. I am passionate about developing intelligent systems that can perceive, reason, and interact with the physical world.

Machine Learning: Improving the performance and data efficiency of machine learning methods for robotics.
Multimodal Perception: Enabling robots to perceive and understand environments through multimodal inputs.
Robotics: Developing intelligent robots that can perceive, reason, and interact with the physical world.

News

[2026.1] Vlaser has been accepted to ICLR 2026.
[2025.11] OC-VLA has been accepted to AAAI 2026.
[2025.2] I have been admitted to the Robotics Institute at Carnegie Mellon University!🎉🎓
[2025.2] RAP has been accepted to CVPR 2025.
[2024.11] ABIL has been accepted to KDD 2025.
[2024.10] Awarded BYD Scholarship (Ranked 2/102 in my grade).
[2024.6] I was glad to participate in LAMDA & RIKEN-AIP Joint Workshop on Machine Learning.
[2024.5] Gave an oral presentation at the Robust Machine Learning in Open Environments Workshop at PAKDD 2024. [Slides]
[2023.12] Awarded National Scholarship (Ranked 1/102 in my grade).

Publications

(* denotes equal contribution)

FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement

Preprint, 2026
Haoran Hao, Shahram Najam Syed, Jeffrey Ichnowski, Jeff Schneider
Paper

Hierarchical Skill Retrieval for Data-Efficient Adaptation of Vision-Language-Action Models

Preprint, 2026
Haoran Hao, Shahram Najam Syed, Jeff Schneider, Jeffrey Ichnowski
Paper

Reason Twice: Segmentation via Candidate Discovery and Comparative Reasoning

Preprint, 2026
Xinyan Gao*, Haoran Hao*, Xiangyu Yue
Paper | Project | Code

Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation

Preprint, 2026
Shahram Najam Syed, Arthur Jakobsson, Haoran Hao, Jeffrey Ichnowski
Paper

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Technical Report
InternVL Team
Paper | Project | Code

Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning

International Conference on Learning Representations (ICLR), 2026
Ganlin Yang*, Tianyi Zhang*, Haoran Hao*, Weiyun Wang, Weijie Su, Wengang Zhou,
Yu Qiao, Jifeng Dai, Jiangmiao Pang, Gen Luo, Wenhai Wang, Yao Mu, Zhi Hou
Paper | Project | Code

Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy

AAAI Conference on Artificial Intelligence (AAAI), 2026
Tianyi Zhang*, Haonan Duan*, Haoran Hao, Yu Qiao, Jifeng Dai, Zhi Hou
Paper | Project | Code

Multimodal Long Video Modeling Based on Temporal Dynamic Context

Preprint, 2025
Haoran Hao*, Jiaming Han*, Yiyuan Zhang, Xiangyu Yue
Paper | Project | Code

RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models

Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Haoran Hao*, Jiaming Han*, Changsheng Li, Yufeng Li, Xiangyu Yue
Paper | Project | Code

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025 Oral
PAKDD 2024 Workshop on Robust Machine Learning in Open Environments, Best Paper Award
Jiejing Shao*, Haoran Hao*, Xiaowen Yang, Yufeng Li
Paper | Project | Code