UROP Research Mentor Project Submission Portal: Submission #1106
Submission information
              Submission Number: 1106
  Submission ID: 20126
  Submission UUID: bd2d05e3-8736-4ef4-8680-facb32a7849d
      Submission URI: /urop-research-mentor-project-submission-portal
          Submission Update: /urop-research-mentor-project-submission-portal?token=3C4zTuKz9Pg818vbjbxF3dQ8quPRcbP-s59p6V2K0tE
      Created: Sat, 08/09/2025 - 06:55 PM
  Completed: Sat, 08/09/2025 - 06:55 PM
  Changed: Thu, 09/04/2025 - 03:38 PM
  Remote IP address: 69.254.218.199
  Submitted by: Anonymous
  Language: English
  Is draft: No
    Webform: UROP Project Proposal Portal
      Submitted to: UROP Research Mentor Project Submission Portal
    
          Research Mentor Information
      
  
  
  Xinyao Zhang
  
  
  
  
      
  
  
  Cynthia
  
  
  
  
      
  
  
  Dr.
  
  
  
  
  
      
  
  
  Faculty
  
  
  
  
      
  
  
  FAMU-FSU College of Engineering
  
  
  
  
      
  
  
  Industrial and Manufacturing Engineering 
  
  
  
  
  
  
  Additional Research Mentor(s)
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
  
      
  
  
  {Empty}
  
  
  
          Overall Project Details
      
  
  
  Teaching Robots to Be Smart Teammates Using AI
  
  
  
  
      
  
  
  Human-Robot Collaboration (HRC), Artificial Intelligence (AI), Smart Manufacturing, Data Analysis, Predictive Modeling
  
  
  
  
      
  
  
  Yes
  
  
  
  
      
  
  
  6
  
  
  
  
      
  
  
  Open to all majors
  
  
  
  
      
  
  
  College of Engineering Building 
  
  
  
  
      
  
  
  Bus routes from FSU main campus to Engineering Building, https://eng.famu.fsu.edu/students/bus-routes
  
  
  
  
      
  
  
  Partially Remote
  
  
  
  
      
  
  
  5-10 hours a week
  
  
  
  
      
  
  
  During business hours
  
  
  
  
      
  
  
  Inspired by the power of effective teamwork, our research tackles challenges in modern robotics: enabling humans and robots to collaborate as true teams. To achieve this, robots evolve from simple tools into intelligent partners capable of understanding human actions and anticipating their needs. For example, teach a robot to pass the correct tool to an operator or assist a technician with a complex assembly task.
Our research group builds the AI brains for next-generation collaborative robots. This project offers an exciting opportunity to become an AI trainer and data detective, turning raw data into robotic intelligence.
  
  
  
  Our research group builds the AI brains for next-generation collaborative robots. This project offers an exciting opportunity to become an AI trainer and data detective, turning raw data into robotic intelligence.
      
  
  
  • Explore literature in the field of human-robot collaboration.
• Write Python scripts to clean, process, and visualize data.
• Develop and test predictive algorithms.
• Participate in weekly team meetings to share ideas and results.
• Document findings in a final research poster or report.
  
  
  
  • Write Python scripts to clean, process, and visualize data.
• Develop and test predictive algorithms.
• Participate in weekly team meetings to share ideas and results.
• Document findings in a final research poster or report.
      
  
  
  • Curiosity and willingness to learn about AI, data, and robotics.
• Basic programming familiarity. No expert coding skills are required.
• Ability to work both independently and as part of a team.
  
  
  
  • Basic programming familiarity. No expert coding skills are required.
• Ability to work both independently and as part of a team.
      
  
  
  • Identifying mentees’ goals.
• Developing a relationship founded on mutual respect.
• Evaluating mentees’ talents and building on them.
• Encouraging questions, experimentation, and out-of-the-box thinking.
  
  
  
  • Developing a relationship founded on mutual respect.
• Evaluating mentees’ talents and building on them.
• Encouraging questions, experimentation, and out-of-the-box thinking.
      
  
  
  https://xinyao-zhang.github.io/
  
  
  
  
      
  
  
  If you are interested in joining my lab, feel free to attend my roundtable (3:00-3:30 pm on 09/02 or 09/04) using this Zoom link (https://fsu.zoom.us/j/9937971059). You could also reach out by email (xzhang@eng.famu.fsu.edu) with the subject line "UROP Project". Please attach your resume and include your background and research interests. 
  
  
  
          
      
  
  
  Yes
  
  
  
  
      
  
  
  3:00-3:30 pm on 09/02 or 09/04, https://fsu.zoom.us/j/9937971059
For those who were unable to attend the roundtable sessions, you can view the recorded meeting [https://fsu.zoom.us/rec/share/0wk3R7qOXrQW8i4CaZUVEhsVFPtStOKho1KsicHSWXMpQLuCU9Wus9Jv2P--TbZB.lLcl54m8x0pdtnNb?startTime=1757012467000]. I've also summarized the key points from the discussion below. Feel free to reach out if you're interested in joining this exciting project!
Project Overview
- Dr. Xinyou Zhang (Cynthia Zhang) introduced a research project on human-robot collaboration
- Research focuses on making robots "real teammates" for human operators in industrial settings
- Project aims to equip robots with human-like intelligence for proactive collaboration
- Dr. Zhang is a first-year research faculty from the industry and manufacturing engineering department
Technical Requirements
- Basic programming skills recommended but not required at expert level
- Python knowledge (NumPy, scikit-learn) and familiarity with platforms like Jupyter Notebooks or Google Colab is helpful
- Dr. Zhang teaches data engineering and can provide resources for students to learn necessary skills
- Project will be tailored to match students' skill sets and interests
Project Structure
- Emphasis on undergraduate researchers (first and second-year students through UROP)
- Both independent research and collaborative work possible depending on project scope
- For UROP timeline, focus will be on simulation environments rather than physical robots
- Long-term lab members may get hands-on experience with real robots
Application Scenarios
- Manufacturing processes: assembly and disassembly of products
- Recycling applications: disassembling used electronic products to extract valuable materials
- Data types will include:
- Time series data from sensors (temperature, speed, powder quantity)
- Image data from cameras
- Focus on anomaly detection for preventive maintenance in manufacturing
Action Items
- Interested students to email Dr. Zhang with "UROP project" in the subject line
  For those who were unable to attend the roundtable sessions, you can view the recorded meeting [https://fsu.zoom.us/rec/share/0wk3R7qOXrQW8i4CaZUVEhsVFPtStOKho1KsicHSWXMpQLuCU9Wus9Jv2P--TbZB.lLcl54m8x0pdtnNb?startTime=1757012467000]. I've also summarized the key points from the discussion below. Feel free to reach out if you're interested in joining this exciting project!
Project Overview
- Dr. Xinyou Zhang (Cynthia Zhang) introduced a research project on human-robot collaboration
- Research focuses on making robots "real teammates" for human operators in industrial settings
- Project aims to equip robots with human-like intelligence for proactive collaboration
- Dr. Zhang is a first-year research faculty from the industry and manufacturing engineering department
Technical Requirements
- Basic programming skills recommended but not required at expert level
- Python knowledge (NumPy, scikit-learn) and familiarity with platforms like Jupyter Notebooks or Google Colab is helpful
- Dr. Zhang teaches data engineering and can provide resources for students to learn necessary skills
- Project will be tailored to match students' skill sets and interests
Project Structure
- Emphasis on undergraduate researchers (first and second-year students through UROP)
- Both independent research and collaborative work possible depending on project scope
- For UROP timeline, focus will be on simulation environments rather than physical robots
- Long-term lab members may get hands-on experience with real robots
Application Scenarios
- Manufacturing processes: assembly and disassembly of products
- Recycling applications: disassembling used electronic products to extract valuable materials
- Data types will include:
- Time series data from sensors (temperature, speed, powder quantity)
- Image data from cameras
- Focus on anomaly detection for preventive maintenance in manufacturing
Action Items
- Interested students to email Dr. Zhang with "UROP project" in the subject line
- Day: Tuesday, September 2
Start Time: 3:00
End Time: 3:30
Zoom Link: https://fsu.zoom.us/j/9937971059 - Day: Thursday, September 4
Start Time: 3:00
End Time: 3:30
Zoom Link: https://fsu.zoom.us/j/9937971059 
UROP Program Elements
      
  
  
  Yes
  
  
  
  
      
  
  
  Yes
  
  
  
  
      
  
  
  Yes
  
  
  
  
      
  
  
  Yes
  
  
  
          
  
  
  {Empty}
  
  
  
  
      
  
  
  2025
  
  
  
  
      
  
  
  https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=3C4zTuKz9Pg818vbjbxF3dQ8quPRcbP-s59p6V2K0tE