# Vikash Kumar

> Ph.D. University of Washington 2016

**Wikidata**: [Q103365033](https://www.wikidata.org/wiki/Q103365033)  
**Source**: https://4ort.xyz/entity/vikash-kumar-q103365033

## Summary
Vikash Kumar is a computer scientist who earned his Ph.D. in computer science and computer engineering from the University of Washington in 2016. His research focuses on manipulation in high-dimensional spaces, contributing to advancements in robotics and artificial intelligence. 

## Biography
- **Born**: 1986  
- **Nationality**: [Not specified]  
- **Education**: Doctorate in computer science and computer engineering, University of Washington (2016)  
- **Known for**: Research on robotic manipulation and high-dimensional control systems  
- **Employer(s)**: [Not specified]  
- **Field(s)**: Computer science, robotics, artificial intelligence  

## Contributions  
Vikash Kumar’s doctoral thesis, *Manipulators and Manipulation in High Dimensional Spaces* (2016), explored computational strategies for robotic control and manipulation. His work builds on collaborations with advisor Emanuel Todorov, a prominent figure in robotics and motor control. Kumar has shared open-source contributions via his GitHub profile (vikashplus) and maintains an academic presence through his Google Scholar profile (nu3W--sAAAAJ). While specific publications or products are not detailed in the source material, his research aligns with efforts to improve robotic dexterity and adaptive systems in complex environments.

## FAQs  
### Q: What is Vikash Kumar known for?  
A: He is recognized for his research on robotic manipulation in high-dimensional spaces, culminating in his 2016 Ph.D. thesis at the University of Washington.  

### Q: Who supervised his doctoral work?  
A: His doctoral advisor was Emanuel Todorov, a noted researcher in computational neuroscience and robotics.  

### Q: Where is his academic work accessible?  
A: His research is indexed via his Google Scholar profile (ID: nu3W--sAAAAJ) and open-source projects on GitHub (vikashplus).  

## Why They Matter  
Vikash Kumar’s research addresses critical challenges in robotic control, particularly in scenarios requiring precision and adaptability in unstructured environments. His focus on high-dimensional manipulation contributes to technologies like robotic grasping, surgical systems, and autonomous navigation. By advancing computational frameworks for these tasks, his work supports innovation in both industrial and service robotics, fields increasingly vital to healthcare, manufacturing, and logistics. Without such research, the development of robots capable of human-like dexterity and real-time decision-making would face greater technical barriers.

## Notable For  
- Ph.D. in computer science and engineering from the University of Washington (2016).  
- Doctoral thesis on robotic manipulation in high-dimensional spaces.  
- Collaboration with advisor Emanuel Todorov, a leading researcher in motor control and robotics.  
- Open-source contributions via GitHub (vikashplus).  

## Body  
### Education  
- **Doctorate**: Ph.D. in computer science and computer engineering, University of Washington (2016).  
  - Dissertation: *Manipulators and Manipulation in High Dimensional Spaces*.  
  - Advisor: Emanuel Todorov.  

### Research Focus  
- **Robotic Manipulation**: Development of algorithms for controlling robotic systems in complex, high-dimensional environments.  
- **Artificial Intelligence**: Application of machine learning and optimization techniques to improve robotic adaptability.  

### Academic Presence  
- **Google Scholar**: Indexed publications under author ID *nu3W--sAAAAJ*.  
- **Open-Source**: Contributions to projects hosted on GitHub (*vikashplus*).  

### Professional Affiliations  
- **University of Washington**: Alumni of the computer science and engineering program.  
- **Mathematics Genealogy Project**: Entry ID *263147*.  

### Recognition  
- Featured in Wikimedia’s *WikiProject PCC Wikidata Pilot/University of Washington* initiative.

## References

1. Mathematics Genealogy Project
2. WorldCat