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- # HCIS-Lab β€” Human-centered Intelligent Systems Lab
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- **Welcome to the official space for the HCIS-Lab (Human-centered Intelligent Systems Lab) at National Yang Ming Chiao Tung University.**
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- This repository and space showcase our research, team, publications, and open resources on human-centered AI, robotics, and intelligent systems research.
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- ## πŸ“Œ Overview
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- 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:
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- * Artificial Intelligence
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- * Computer Vision & Machine Learning
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- * Robotics and Human-Robot Interaction
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- * Developmental and Cognitive Science
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- * Multimodal Representations (vision, tactile, dynamics)
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- We emphasize **human-centric design**, interpretable models, and *user co-design principles* in all our research initiatives.
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- ---
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- ## πŸ§ͺ Research Areas
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- HCIS-Lab’s research spans two major thematic clusters:
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- ### πŸš— Intelligent Driving Systems
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- Exploring dynamic scene understanding, risk assessment, and large-scale scenario modeling for autonomous systems. Projects include:
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- * Visual risk object identification
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- * Scenario-based benchmarks for risk assessment
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- * Traffic scene representation learning
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- ### πŸ€– Assistive & Mobile Manipulation
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- Developing AI systems that interact with real environments to assist humans:
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- * Robot manipulation and skill acquisition
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- * Task-aware robotic policies
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- * Food pickup and food serving robot frameworks
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- ## πŸ“š Publications & Projects
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- HCIS-Lab maintains a broad portfolio of peer-reviewed research outputs including:
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- πŸ”Ή CVPR, ICRA, ICCV, NeurIPS, IROS papers
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- πŸ”Ή Systems and benchmarks for scene understanding and robotics
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- πŸ”Ή Cross-modal learning methods and interpretable AI frameworks
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- Some notable research highlights:
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- * **RiskBench:** Scenario-based risk identification benchmark for autonomous vehicles.
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- * **SKT-Hang:** Semantic keypoint trajectory methods for everyday object manipulation.
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- > For full publication list and links to slides/code, explore the Publications page of the HCIS Lab website.
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- ---
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- ## πŸ‘₯ Research Team
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- 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])
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- Team roles include:
 
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- * **Ph.D. Candidates**
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- * **Research Assistants**
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- * **Masters & Undergraduate Researchers**
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- * **Alumni working in academia and industry**
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- ## πŸ“– Teaching & Talks
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- HCIS-Lab contributes to multiple teaching modules and seminar talks on topics such as:
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- * Computer Vision & Robotics
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- * Human-Centered AI
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- * Multimodal Learning and Control
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- * Intelligent Systems Design
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- Materials including teaching slides can be found on the official site.
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- ## πŸ“¬ Join Us
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- 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:
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- * CV and representative work
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- * Research interests and goals
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- Explore research resources and join us in pushing the bounds of human-centric AI design.
 
 
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- ## 🌐 Links & Resources
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- | Resource | Link |
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- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
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- | HCIS-Lab Homepage | [https://sites.google.com/site/yitingchen0524/hcis-lab](https://sites.google.com/site/yitingchen0524/hcis-lab) |
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- | Publications Page | [https://sites.google.com/site/yitingchen0524/publications_1](https://sites.google.com/site/yitingchen0524/publications_1) |
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- | Mobile Manipulation | [https://sites.google.com/site/yitingchen0524/mobile-manipulation](https://sites.google.com/site/yitingchen0524/mobile-manipulation) |
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- | Research Areas | [https://sites.google.com/site/yitingchen0524/research](https://sites.google.com/site/yitingchen0524/research) |
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- ## πŸ“œ License
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- This README content is available under the Creative Commons licenses consistent with HCIS-Lab’s research outputs.
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- Please refer to individual project repositories for their respective licensing.
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- ✨ *Powered by the HCIS-Lab and open research contributors.*
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+ # HCIS-Lab β€” Human-centered Intelligent Systems Lab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Welcome to the official Hugging Face space of the
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+ **Human-centered Intelligent Systems Lab (HCIS-Lab)** at National Yang Ming Chiao Tung University.
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+ We develop **human-centered AI and robotics systems** for real-world applications.
 
 
 
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+ ## πŸ“Œ About
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+ HCIS-Lab is led by **Assoc. Prof. Yi-Ting Chen** and focuses on:
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+ - Artificial Intelligence
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+ - Computer Vision & Machine Learning
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+ - Robotics & Human-Robot Interaction
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+ - Multimodal Learning
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+ Our goal is to build intelligent systems that are **useful, interpretable, and human-centric**.
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+ ## πŸ§ͺ Research Focus
 
 
 
 
 
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+ ### πŸš— Intelligent Driving
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+ - Risk assessment and scene understanding
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+ - Autonomous driving benchmarks
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+ ### πŸ€– Assistive Robotics
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+ - Robot manipulation and skill learning
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+ - Service and assistive robots
 
 
 
 
 
 
 
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+ ## 🌐 More Information
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+ - Homepage: https://sites.google.com/site/yitingchen0524/hcis-lab
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+ - Publications: https://sites.google.com/site/yitingchen0524/publications_1
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+ ✨ *Maintained by HCIS-Lab*