# Justin Huang

> PhD, University of Washington, Computer Science & Engineering, 2018

**Wikidata**: [Q113667726](https://www.wikidata.org/wiki/Q113667726)  
**Source**: https://4ort.xyz/entity/justin-huang-q113667726

## Summary
Justin Huang is a computer scientist and robotics researcher known for his work on programming tools for mobile manipulator robots. He earned his PhD in Computer Science & Engineering from the University of Washington in 2018 under the supervision of Dr. Maya Cakmak. His research focuses on advancing robotics through end-to-end programming solutions.

## Biography
- **Born**: 1990 (birthplace unknown)  
- **Nationality**: [Not specified]  
- **Education**: PhD in Computer Science & Engineering, University of Washington (2018)  
- **Known for**: Developing end-to-end programming tools for mobile manipulator robots  
- **Employer(s)**: [Not specified]  
- **Field(s)**: Computer science, robotics  

## Contributions  
Justin Huang’s primary contribution is his doctoral thesis, *End-to-end Programming Tools for Mobile Manipulator Robots* (2018), which addresses challenges in programming robotic systems. His work streamlines the development of mobile manipulators—robots capable of both movement and object interaction—by creating integrated tools that simplify the programming process. This research supports advancements in robotics by making it easier to deploy and customize robotic solutions for real-world tasks. While specific applications or follow-up projects are not detailed in the source material, his thesis lays foundational groundwork for improving human-robot collaboration and task automation.  

## FAQs  
### Q: Where did Justin Huang earn his PhD?  
A: He received his PhD in Computer Science & Engineering from the University of Washington in 2018.  

### Q: What is Justin Huang’s most notable academic work?  
A: His doctoral thesis, *End-to-end Programming Tools for Mobile Manipulator Robots*, published in 2018.  

### Q: Who supervised Justin Huang’s graduate research?  
A: His doctoral advisor was Dr. Maya Cakmak, a prominent robotics researcher.  

## Why They Matter  
Justin Huang’s research bridges the gap between robotic hardware and user-friendly programming, a critical challenge in robotics. By developing tools that enable more intuitive control of mobile manipulators, his work facilitates the adoption of robots in dynamic environments, from manufacturing to assistive technologies. As robotics becomes increasingly integral to industry and daily life, Huang’s contributions to programming infrastructure help accelerate innovation, ensuring robots can be tailored to diverse tasks without requiring specialized expertise. His focus on end-to-end solutions reflects a broader shift toward accessible, adaptable robotics systems.  

## Notable For  
- PhD in Computer Science & Engineering from the University of Washington (2018).  
- Author of the thesis *End-to-end Programming Tools for Mobile Manipulator Robots*.  
- Research under the supervision of roboticist Dr. Maya Cakmak.  

## Body  
### Education  
Justin Huang completed his PhD in Computer Science & Engineering at the University of Washington in 2018. His graduate studies focused on robotics, specifically the development of programming tools for mobile manipulator robots.  

### Academic Work  
Huang’s doctoral thesis, *End-to-end Programming Tools for Mobile Manipulator Robots*, investigates solutions to streamline the programming of robots that combine mobility with manipulation capabilities. This work emphasizes usability and flexibility, aiming to reduce the complexity of deploying such systems in real-world scenarios.  

### Professional Background  
A student of Dr. Maya Cakmak, a recognized expert in robotics and human-robot interaction, Huang’s research aligns with efforts to make robotics more accessible and practical. While specific post-graduation roles are not detailed in the source material, his academic contributions position him within the field of computer science and robotics research.  

### Research Focus  
Huang’s work addresses a key challenge in robotics: creating programming frameworks that allow non-experts to customize and control sophisticated robotic systems. By focusing on end-to-end tools, his research supports the integration of robots into industries where adaptability and ease of use are critical.

## References

1. WorldCat