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Bild Prof. Dr. Christof Büskens

Prof. Dr. Christof Büskens

Leader of WG Optimization and Optimal Control
Member of the high-profile areas Minds, Media, Machines and MAPEX

Room: MZH 7220
Email: bueskens@math.uni-bremen.de
Phone: (0421) 218-63861
ORCID iD:  0000-0001-7385-4670

Research Areas

Leader of Projects

  1. OPA³L - Optimally Assisted, Highly Automated, Autonomous and Cooperative Vehicle Navigation and Localization (01.03.2019 - 14.02.2023)
  2. SmartDrive (01.11.2018 - 30.04.2020)
  3. GALILEOnautic 2 (01.10.2018 - 31.03.2021)
  4. AO-Car – Autonome, optimale Fahrzeugnavigation und -steuerung im Fahrzeug-Fahrgast-Nahbereich für den städtischen Bereich (since 01.09.2016)
  5. GALILEOnautic (01.07.2016 - 30.06.2018)
  6. SmartFarm (since 01.01.2016)
  7. HERCULES 2 (since 01.05.2015)
  8. CAUSE-Cognitive Autonomous Subsurface Exploration (01.04.2015 - 30.09.2018)
  9. PIA-Parameter Identification Automotive (since 01.01.2015)
  10. EWOCS: Extension of WORHP to multi- and many-core Architectures (01.11.2014 - 31.01.2015)

Courses (Selection)complete list

  1. Numerik 1 (Wintersemester 2019/2020)
  2. Reading Course zur Numerik (Wintersemester 2019/2020)
  3. Oberseminar Optimierung & Optimale Steuerung (Wintersemester 2019/2020)
  4. Reading Course zur Numerik (Sommersemester 2019)
  5. Oberseminar Optimierung & Optimale Steuerung (Sommersemester 2019)

Theses (Selection)complete list

  1. Applying Deep Learning to Real Time, Simultaneous Detection and Recognition of Traffic Signs (Lennart Evers)
  2. Tracking eines Industrieroboters via Model Predictive Control (Marieke Hoehne)
  3. Untersuchung von Trajektorien mit modellprädiktiver Regelung am Beispiel der Mondlandung (Barbara Stolarek)
  4. Semi-supervised learning of convolutional neural networks by solving jigsaw puzzles (Benjamin Wagner)
  5. Identifikation und Kartierung von Untergrundparametern, basierend auf Optimalsteuerung und maschinellem Lernen (Eva Dierkes)

Publications (Selection)complete list

  1. A. Folkers, M. Rick, C. Büskens.
    Controlling an Autonomous Vehicle with Deep Reinforcement Learning.
    Intelligent Vehicles Symposium, 09.06.-12.06.2019, Paris, France.
    Proceedings of the 30th IEEE Intelligent Vehicles Symposium, pp. 2025-2031, 2019.

    Best Student Paper

    DOI: 10.1109/ivs.2019.8814124

  2. K. Schäfer, K. Flaßkamp, J. Fliege, C. Büskens.
    A Combined Homotopy-Optimization Approach to Parameter Identification for Dynamical Systems.
    Erscheint in PAMM

    DOI: 10.1002/pamm.201900266

  3. R. Zweigel, J. Gehrt, S. Liu, S. Roy, C. Büskens, M. Kurowski, T. Jeinsch, A. Schubert, M. Gluch, O. Simanski, E. Pairet-Garcia, F. Siemer, D. Abel.
    Optimal Maneuvering and Control of Cooperative Vehicles as Case Study for Maritime Applications within Harbors.
    European Control Conference (ECC) 2019, 25.06.-28.06.2019.
    Supervisory control of multilevel discrete-event systems with a bus structure, pp. 3022-3027, 2019.

    DOI: 10.23919/ECC.2019.8796071

  4. M. Kurowski, S. Roy, J. Gehrt, R. Damerius, C. Büskens, D. Abel, T. Jeinsch.
    Multi-Vehicle Guidance, Navigation and Control Towards Autonomous Ship Maneuvering in Confined Waters.
    European Control Conference (ECC) 2019, 25.06.-28.06.2019.
    Supervisory control of multilevel discrete-event systems with a bus structure, pp. 2559-2564, 2019.

    DOI: 10.23919/ECC.2019.8795726

  5. M. Rick, J. Clemens, L. Sommer, A. Folkers, K. Schill, C. Büskens.
    Autonomous Driving Based on Nonlinear Model Predictive Control and Multi-Sensor Fusion.
    IFAC Symposium on Intelligent Autonomous Vehicles, 03.07.-05.07.2019.
    Proceedings of the 10th IFAC Symposium on Intelligent Autonomous Vehicles, 52(8):182-187, 2019.

    DOI: 10.1016/j.ifacol.2019.08.068