Philip Föhn

Control and Systems Engineering · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Föhn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lukas Hewing
  2. Juraj Kabzan

Papers from Philip Föhn's perspective

Ordered by how strongly the researchers Philip Föhn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Cautious Model Predictive Control Using Gaussian Process Regression (IEEE Transactions on Control Systems Technology)
  2. Learning-Based Model Predictive Control for Autonomous Racing (IEEE Robotics and Automation Letters)
  3. Fast Direct Multiple Shooting Algorithms for Optimal Robot Control
  4. PAMPC: Perception-Aware Model Predictive Control for Quadrotors
  5. RotorS—A Modular Gazebo MAV Simulator Framework
  6. DeepMPC: Learning Deep Latent Features for Model Predictive Control
  7. CasADi: a software framework for nonlinear optimization and optimal control
  8. A General-Purpose Software Framework for Dynamic Optimization (Een algemene softwareomgeving voor dynamische optimalisatie)
  9. SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization (SIAM Journal on Optimization)
  10. Optimization‐based autonomous racing of 1:43 scale RC cars (arXiv.org)

Their papers