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41
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224

Overview

Frank Hoffmann is affiliated with TU Dortmund University in Germany and has contributed to research primarily in the fields of Engineering and Computer Science. Their work prominently spans subfields such as Control and Systems Engineering, Automotive Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Renewable Energy, Sustainability and the Environment.

The scientist's research focuses on topics including Autonomous Vehicle Technology and Safety, Traffic Control and Management, Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, Robotic Mechanisms and Dynamics, Advanced Control Systems Optimization, and Energy, Environment, and Transportation Policies.

Among recent papers authored by Frank Hoffmann or in collaboration are:

  • Model predictive control of a collaborative manipulator considering dynamic obstacles (2020) published in Optimal Control Applications and Methods
  • Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving (2023) published in IEEE Robotics and Automation Letters
  • UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning (2021) published on arXiv (Cornell University)
  • Überversorgung und Übertherapie in der Intensivmedizin - wichtige Themen in einer herausfordernden Zeit, die einen differenzierten Diskurs benötigen (2021) published in Medizinische Klinik - Intensivmedizin und Notfallmedizin
  • Differentiable Constrained Imitation Learning for Robot Motion Planning and Control (2022) published on arXiv (Cornell University)

Frequent co-authors collaborating with Frank Hoffmann include:

  • Torsten Bertram
  • Christopher Diehl
  • Timo Sievernich
  • Martin Krüger
  • Maximilian Krämer

The outlets where Hoffmann has commonly published are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Optimal Control Applications and Methods
  • Medizinische Klinik - Intensivmedizin und Notfallmedizin

Best Publications

  • Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

    Oscar Cordón;Francisco Herrera;Frank Hoffmann;Luis Magdalena

  • Ten years of genetic fuzzy systems: current framework and new trends

    Oscar Cordón;Fernando A. C. Gomide;Francisco Herrera;Frank Hoffmann

  • Ten years of genetic fuzzy systems: current framework and new trends

    O. Cordon;F. Herrera;F. Gomide;F. Hoffmann

  • Advances in Soft Computing

    Jose Manuel Benítez;Oscar Cordón;Frank Hoffmann;Rajkumar Roy

  • A comprehensive study of control design for an autonomous helicopter

    H. Shim;T.J. Koo;F. Hoffmann;S. Sastry

  • Integrated online trajectory planning and optimization in distinctive topologies

    Christoph Rösmann;Frank Hoffmann;Torsten Bertram

  • Trajectory modification considering dynamic constraints of autonomous robots

    Christoph Roesmann;Wendelin Feiten;Thomas Woesch;Frank Hoffmann

  • Efficient trajectory optimization using a sparse model

    Christoph Rosmann;Wendelin Feiten;Thomas Wosch;Frank Hoffmann

  • Modeling and Identification of Elastic Robot Joints With Hysteresis and Backlash

    M. Ruderman;F. Hoffmann;T. Bertram

  • Evolutionary algorithms for fuzzy control system design

    F. Hoffmann

  • Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms

    M.J. del Jesus;F. Hoffmann;L.J. Navascues;L. Sanchez

  • Kinodynamic trajectory optimization and control for car-like robots

    Christoph Rosmann;Frank Hoffmann;Torsten Bertram

  • Timed-Elastic-Bands for time-optimal point-to-point nonlinear model predictive control

    Christoph Rosmann;Frank Hoffmann;Torsten Bertram

  • Computational Intelligence for Knowledge-Based Systems Design

    Eyke Hüllermeier;Rudolf Kruse;Frank Hoffmann

  • Evolutionary design of a fuzzy knowledge base for a mobile robot

    Frank Hoffmann;Gerd Pfister

  • Impact of methanol concentration on secreted protein production in oxygen‐limited cultures of recombinant Pichia pastoris

    Narendar K. Khatri;Frank Hoffmann

  • Optimal State Space Control of DC Motor

    Michael Ruderman;Johannes Krettek;Frank Hoffmann;Torsten Bertram

  • Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms

    F Hoffmann;Bart Baesens;Bart Baesens;Christophe Mues;Christophe Mues;T Van Gestel

  • Combining boosting and evolutionary algorithms for learning of fuzzy classification rules

    Frank Hoffmann

  • Soft Computing and Industry

    Rajkumar Roy;Mario Köppen;Seppo Ovaska;Takeshi Furuhashi

  • Robot programming by demonstration

    Krishna Kumar Narayanan;Luis Felipe Posada;Frank Hoffmann;Torsten Bertram

  • Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases

    Hisao Ishibuchi

Frequent Co-Authors

Oscar Cordón
Oscar Cordón University of Granada
Ralf Mikut
Ralf Mikut Karlsruhe Institute of Technology
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Francisco Herrera
Francisco Herrera University of Granada
Luis Magdalena
Luis Magdalena Technical University of Madrid
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg
Shankar Sastry
Shankar Sastry University of California, Berkeley
Ursula Rinas
Ursula Rinas University of Hannover
Bart Baesens
Bart Baesens KU Leuven

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