Martin received his BSc and MSc in Physics from the University of Heidelberg. For his Master’s Thesis he implemented an optimal control scheme for dynamically balanced locomotion of humanoid robots and automated high level commands to said control with neural networks. He joined the School of Biomedical Engineering and Image Sciences at King’s College London in 2019 to develop data driven visual servo algorithms for surgical robots to assist surgeons in minimally invasive surgery. His main interests are optimal control, artificial intelligence and medical imaging. He is supervised by Dr. Christos Bergeles and Prof. Tom Vercauteren.

  • AI Assisted Interventions
  • Robotic Control
  • Visual Servoing
Roles in FAROS
  • WP2 Online sensor-based functional modelling