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README.md

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+# HCIS-Lab — Human-centered Intelligent Systems Lab
+
+**Welcome to the official space for the HCIS-Lab (Human-centered Intelligent Systems Lab) at National Yang Ming Chiao Tung University.** 
+This repository and space showcase our research, team, publications, and open resources on human-centered AI, robotics, and intelligent systems research. 
+
+---
+
+## 📌 Overview
+
+The **Human-centered Intelligent Systems Lab (HCIS-Lab)** is led by **Assoc. Prof. Yi-Ting Chen**, focusing on designing *intelligent systems that augment human capabilities* and improve everyday life. Our work spans:
+
+* Artificial Intelligence
+* Computer Vision & Machine Learning
+* Robotics and Human-Robot Interaction
+* Developmental and Cognitive Science
+* Multimodal Representations (vision, tactile, dynamics)
+
+We emphasize **human-centric design**, interpretable models, and *user co-design principles* in all our research initiatives.
+
+---
+
+## 🧪 Research Areas
+
+HCIS-Lab’s research spans two major thematic clusters:
+
+### 🚗 Intelligent Driving Systems
+
+Exploring dynamic scene understanding, risk assessment, and large-scale scenario modeling for autonomous systems. Projects include:
+
+* Visual risk object identification
+* Scenario-based benchmarks for risk assessment
+* Traffic scene representation learning
+
+### 🤖 Assistive & Mobile Manipulation
+
+Developing AI systems that interact with real environments to assist humans:
+
+* Robot manipulation and skill acquisition
+* Task-aware robotic policies
+* Food pickup and food serving robot frameworks
+
+---
+
+## 📚 Publications & Projects
+
+HCIS-Lab maintains a broad portfolio of peer-reviewed research outputs including:
+
+🔹 CVPR, ICRA, ICCV, NeurIPS, IROS papers
+🔹 Systems and benchmarks for scene understanding and robotics
+🔹 Cross-modal learning methods and interpretable AI frameworks
+
+Some notable research highlights:
+
+* **RiskBench:** Scenario-based risk identification benchmark for autonomous vehicles.
+* **SKT-Hang:** Semantic keypoint trajectory methods for everyday object manipulation.
+
+> For full publication list and links to slides/code, explore the Publications page of the HCIS Lab website.
+---
+
+## 👥 Research Team
+
+HCIS-Lab comprises a diverse team of Ph.D. students, Master’s students, research assistants, undergraduate contributors, and alumni with collaborations spanning universities and industry research centers. ([sites.google.com][1])
+
+Team roles include:
+
+* **Ph.D. Candidates**
+* **Research Assistants**
+* **Masters & Undergraduate Researchers**
+* **Alumni working in academia and industry**
+
+---
+
+## 📖 Teaching & Talks
+
+HCIS-Lab contributes to multiple teaching modules and seminar talks on topics such as:
+
+* Computer Vision & Robotics
+* Human-Centered AI
+* Multimodal Learning and Control
+* Intelligent Systems Design
+
+Materials including teaching slides can be found on the official site.
+
+---
+
+## 📬 Join Us
+
+HCIS-Lab is actively **looking for motivated students and researchers** (Ph.D., Research Assistant, M.S., and undergraduate) interested in *human-centered system research*. Potential candidates can reach out with:
+
+* CV and representative work
+* Research interests and goals
+
+Explore research resources and join us in pushing the bounds of human-centric AI design.
+
+---
+
+## 🌐 Links & Resources
+
+| Resource            | Link                                                                                                                                 |
+| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
+| HCIS-Lab Homepage   | [https://sites.google.com/site/yitingchen0524/hcis-lab](https://sites.google.com/site/yitingchen0524/hcis-lab)                       |
+| Publications Page   | [https://sites.google.com/site/yitingchen0524/publications_1](https://sites.google.com/site/yitingchen0524/publications_1)           |
+| Mobile Manipulation | [https://sites.google.com/site/yitingchen0524/mobile-manipulation](https://sites.google.com/site/yitingchen0524/mobile-manipulation) |
+| Research Areas      | [https://sites.google.com/site/yitingchen0524/research](https://sites.google.com/site/yitingchen0524/research)                       |
+
+---
+
+## 📜 License
+
+This README content is available under the Creative Commons licenses consistent with HCIS-Lab’s research outputs.
+Please refer to individual project repositories for their respective licensing.
+
+---
+
+✨ *Powered by the HCIS-Lab and open research contributors.*
 
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