Frank Hoffmann

About Frank Hoffmann

Frank Hoffmann, With an exceptional h-index of 39 and a recent h-index of 21 (since 2020), a distinguished researcher at Technische Universität Dortmund, specializes in the field of Robotics, Machine Learning, Computational Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Large manipulator with automated mast set-up

Uncertainty-aware model-based offline reinforcement learning for automated driving

PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE

Conditional behavior prediction for automated driving on highways

Differentiable constrained imitation learning for robot motion planning and control

Vectorrl: Interpretable graph-based reinforcement learning for automated driving

Proceedings-31. Workshop Computational Intelligence: Berlin, 25.-26. November 2021

Umbrella: Uncertainty-aware model-based offline reinforcement learning leveraging planning

Frank Hoffmann Information

University

Position

___

Citations(all)

6639

Citations(since 2020)

2137

Cited By

6712

hIndex(all)

39

hIndex(since 2020)

21

i10Index(all)

95

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Frank Hoffmann Skills & Research Interests

Robotics

Machine Learning

Computational Intelligence

Top articles of Frank Hoffmann

Title

Journal

Author(s)

Publication Date

Large manipulator with automated mast set-up

2023/5/23

Uncertainty-aware model-based offline reinforcement learning for automated driving

IEEE Robotics and Automation Letters

Christopher Diehl

Timo Sebastian Sievernich

Martin Krüger

Frank Hoffmann

Torsten Bertram

2023/1/12

PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE

Proceedings. 32. Workshop Computational Intelligence

H Schulte

F Hoffmann

R Mikut

2022/12

Conditional behavior prediction for automated driving on highways

PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE

Christopher Diehl

Timo Osterburg

Nils Murzyn

Georg Schneider

Frank Hoffmann

...

2022/12

Differentiable constrained imitation learning for robot motion planning and control

arXiv preprint arXiv:2210.11796

Christopher Diehl

Janis Adamek

Martin Krüger

Frank Hoffmann

Torsten Bertram

2022/10/21

Vectorrl: Interpretable graph-based reinforcement learning for automated driving

Proceedings 31. Workshop Computational Intelligence

Christopher Diehl

Tamino Waldeyer

Frank Hoffmann

Torsten Bertram

2021/11/15

Proceedings-31. Workshop Computational Intelligence: Berlin, 25.-26. November 2021

Horst Schulte

Frank Hoffmann

Ralf Mikut

2021

Umbrella: Uncertainty-aware model-based offline reinforcement learning leveraging planning

arXiv preprint arXiv:2111.11097

Christopher Diehl

Timo Sievernich

Martin Krüger

Frank Hoffmann

Torsten Bertram

2021/11/22

Model predictive control of a collaborative manipulator considering dynamic obstacles

Optimal Control Applications and Methods

Maximilian Krämer

Christoph Rösmann

Frank Hoffmann

Torsten Bertram

2020/7

See List of Professors in Frank Hoffmann University(Technische Universität Dortmund)