I am a senior undergraduate student majoring in Artificial Intelligence at Northeastern University, China. Currently, I have been working as a Research Assistant working on Embodied AI, Spatial Intelligence and Robotics under the supervision of Prof. Mingyu Ding at UNC-Chapel Hill and Prof. Yao (Mark) Mu at ScaleLab, SJTU.

My research interests mainly focus on:

• Grounding language in spatial understanding and robotic manipulation
• Reasoning and planning in multi-modality and embodied AI systems
• Human-Robot Collaborative Interaction in Real-Simulation Hybrid Environments

My long-term research goal is to develop embodied agents that learn from rich, physically-informed data gathered through real-world interaction. I am dedicated to imbuing these agents with the capacity for causal reasoning and sophisticated decision-making, enabling them to collaborate seamlessly and safely with humans. This pursuit is guided by a core principle: to create technology that is fundamentally with everyone, for everyone, ensuring that advancements in AI provide accessible assistance to people from all walks of life.

✨ I am looking for a Ph.D. position starting in 2026 Fall. Please feel free to reach out!

📝 Publications

(*: equal contribution; †: corresponding author)

Tianxing Chen*, Zanxin Chen*, Baijun Chen*, Zijian Cai*, Yibin Liu*, … Ping Luo†, Yao Mu†. RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation. arXiv 2025. (Webpage / Repo)

Nan Gao†, Yibin Liu, Xin Tang, Yanyan Liu, Chun Yu, Yun Huang, Yuntao Wang, Flora D. Salim, Xuhai Orson Xu, Jun Wei, Yuanchun Shi. The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions. ACM IMWUT/UbiComp 2025. (Paper)

Yibin Liu, Zhixuan Liang, Zanxing Chen*, Tianxing Chen, Mengkang Hu, Wanxi Dong, Congsheng Xu, Zhaoming Han, Yusen Qin, Yao Mu†. HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents. ICCV 2025 Workshop on Multi-Modal Reasoning for Agentic Intelligence. (Paper/ Code)

Yibin Liu, Zhenghao Liu†, Yukun Yan, Shi Yu, Shuo Wang, Liner Yang, Yu Gu, Ge Yu, Huimin Chen. Self-Guide: A LLM Reasoning Enhancement Method Based on Self-Guided Planning. CCL 2024 / Journal of Chinese Information Processing. (Paper EN / Paper CN/ Code)

📖 Research Experiences

Northwestern University, USA – MLL Lab

Advisor: Prof. Manling Li, 📅July 2025 – Present

Embodied multimodal LLM agents (Ongoing).

Joint Research Internship – UNC-Chapel Hill, Horizon Robotics, SJTU

Advisor: Prof. Mingyu Ding (UNC), Yusen Qin (VP of D-Robotics), Prof. Yao Mu (SJTU), 📅March 2025 – Present

In this joint internship, I am empowering multimodal large language models (MLLMs) with spatial understanding and action-level reasoning for robotic manipulation. My contributions include developing robotic behavior code generation pipelines in closed-loop physical simulation environments and creating an LLM-powered Copilot to assist robotic system development for Horizon Robotics.

Tsinghua University – Pervasive HCI Lab

Advisor: A/Prof Nan Gao, A/Prof Chun Yu, 📅June 2024 – January 2025

At Tsinghua, I developed LLM-based methods to infer human behaviors and mental states from dialogue data, aiming to enhance self-awareness and promote well-being. I combined LLM-driven analysis with expert qualitative coding to process real-world data and built a recommendation system for family education strategies.

💬 Talks

• 2024.08, “Retrieval-Augmented Generation Modeling” for Mingtong Weilai (Beijing) Digital Health Science & Technology Research Institute.

👥 Academic Service

• Contributor of Embodied-AI-Guide

• Reviewer for Chinese CHI 2024.

🏆 Awards

• 2024.11 Outstanding Individual in Technological Innovation of Northeastern University.
• 2024.05 Finalist of Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling (MCM/ICM 2024, Top 1.69% in 10,387 teams).
• 2023.10 National Level Third Prize in 2023 RoboCup China Competition Simulation 3D League Simulation (RoboCup 2023).
• 2023.10 National Level Second Prize in 2023 FIRA SimuroSot China Competition (RoboCup 2023).
• 2023.11 Future Technology Taihu Scholarship
• 2023.09 Excellent Student Scholarship in Northeastern University

💻 Projects

RDK Copilot: LLM-powered Development Copilot for Robotics at Horizon Robotics

• Developed and deployed a VSCode plugin that assists robotic system development using LLMs. Supported features include automatic coding, environment setup, code completion, test generation, code explanation, and manipulation data acquisition.
• Tools Used: Python, TypeScript, VSCode Extension API, ROS

MinRL: Minimal, Clean Code for Reinforcement Learning

• Recognized and pinned by MathFoundationRL, the most popular RL course on Chinese platforms, under “Third-party code and materials.”
• Tools Used: Python, PyTorch, pytest

Bencao RAG Medical Intelligent Assistant

• Developed a medical knowledge question-answering system that integrates context awareness, internet access, knowledge graphs, and RAG method to provide accurate and personalized medical information.
• Tools Used: Python, RAG, LLM, LangChain, Streamlit, Neo4j, Knowledge Graph

🛠️ Technologies

Languages: Python, C++, C, HTML/CSS, JavaScript, Swift, SQL, MATLAB/Simulink, LaTeX

Technologies: PyTorch, Hugging Face, scikit-learn, ROS, OpenCV, NumPy, Git, RAG, Linux, SLAM