# Jens Kober

> researcher

**Wikidata**: [Q57412380](https://www.wikidata.org/wiki/Q57412380)  
**Source**: https://4ort.xyz/entity/jens-kober

## Summary
Jens Kober is a German computer scientist and researcher specializing in machine learning and robotics. He is best known for his work in reinforcement learning and human-robot interaction, particularly his contributions to the field of robot learning from demonstration.

## Biography
- Born: [Not available in source material]
- Nationality: Germany
- Education: Doctor of Philosophy in Computer Science, Technical University of Darmstadt (2008–2012)
- Known for: Research in machine learning, robotics, and reinforcement learning
- Employer(s):
  - Delft University of Technology (Assistant Professor, 2015–present)
  - Bielefeld University (Postdoctoral Researcher, 2012–2014)
- Field(s): Computer Science, Robotics, Machine Learning

## Contributions
Jens Kober has made significant contributions to the fields of robotics and machine learning, particularly in the area of learning from demonstration. His doctoral research, supervised by Jan Peters, focused on developing algorithms that enable robots to learn tasks from human demonstrations. This work has been influential in advancing the field of human-robot interaction and has applications in industrial and service robotics.

Kober has published numerous papers in top-tier conferences and journals, including works on reinforcement learning and policy search methods. His research has been cited widely, contributing to the development of more adaptive and intelligent robotic systems. Additionally, he has supervised doctoral students, including Timon David de Bruin and Simon Manschitz, who have continued to advance the field.

## FAQs
### Q: What is Jens Kober known for?
A: Jens Kober is known for his research in machine learning and robotics, particularly in the area of learning from demonstration and reinforcement learning.

### Q: Where does Jens Kober work?
A: Jens Kober is an Assistant Professor at Delft University of Technology. He previously worked as a postdoctoral researcher at Bielefeld University.

### Q: Who was Jens Kober's doctoral advisor?
A: Jens Kober's doctoral advisor was Jan Peters, a prominent German computer scientist.

### Q: What are some of Jens Kober's notable publications?
A: While specific publications are not listed in the source material, Kober has contributed to research in reinforcement learning and robot learning from demonstration, with his work being widely cited in the field.

## Why They Matter
Jens Kober's work has significantly advanced the field of robotics by improving the ways robots can learn from human demonstrations. His research has bridged the gap between theoretical machine learning and practical robotics applications, making robots more adaptable and easier to train. His contributions have influenced both academic research and industrial applications, particularly in areas where human-robot collaboration is essential.

## Notable For
- Pioneering research in robot learning from demonstration
- Contributions to reinforcement learning and policy search methods
- Supervising influential doctoral students in the field of robotics
- Publications in top-tier conferences and journals in machine learning and robotics

## Body
### Education and Early Career
Jens Kober earned his Doctor of Philosophy in Computer Science from the Technical University of Darmstadt, where he studied from 2008 to 2012. His doctoral research was supervised by Jan Peters, a leading figure in the field of machine learning and robotics.

### Academic and Research Career
After completing his Ph.D., Kober worked as a postdoctoral researcher at Bielefeld University from 2012 to 2014. In 2015, he joined Delft University of Technology as an Assistant Professor, where he continues to conduct research in machine learning and robotics.

### Research Focus
Kober's research primarily focuses on developing algorithms that enable robots to learn tasks from human demonstrations. This work is part of a broader effort to make robots more adaptable and easier to train, with applications in both industrial and service sectors.

### Supervision and Mentorship
Kober has supervised several doctoral students, including Timon David de Bruin and Simon Manschitz, who have gone on to make their own contributions to the field of robotics.

### Publications and Citations
While specific publications are not detailed in the source material, Kober's work has been widely cited in the fields of machine learning and robotics, indicating its significance and influence.

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## References

1. Integrated Authority File
2. Virtual International Authority File
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-7257-5434/employment/3548913)
4. [Source](http://orcid.org/0000-0001-7257-5434)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-7257-5434/employment/3548893)
6. Mathematics Genealogy Project
7. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
8. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-7257-5434/researcher-urls/1859261)
9. [SciGraph](https://scigraph.springernature.com/person.013430030531.23)