Tolga-Can Çallar, M. Sc.

Research Assistant

Ratzeburger Allee 160
23562 Lübeck
Building 64, Room 104 (GF)

Phone: +49 451 31015230
Fax: +49 451 31015204
Tolga-Can Çallar

Short Biography

Tolga-Can Çallar has been a research assistant at the Institute of Robotics and Cognitive Systems and PhD student under the supervision of Prof. Floris Ernst since 2022. Previously, he completed his studies in Medical Engineering with an M.Sc. degree from the University of Lübeck in 2021.
His research interests include methods for path planning and motion control using proprioceptive and image-based models for robotic applications in medicine. The focus of his work is on the development of computational models and algorithms for autonomous robotic ultrasound imaging.

Research Interests

  • Medical Robotics and Systems
  • Kinematic Design
  • Machine Learning for Motion Control 
  • Image-based Path Planning




Tolga-Can Çallar and Sven Böttger, Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion (2022), in: IEEE Robotics and Automation Letters


Tolga-Can Çallar, Elmar Rueckert and Sven Böttger, Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates (2020), in: 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), 6:3(119-122)


Sven Böttger, Tolga-Can Çallar, Elmar Rueckert and Achim Schweikard, Medical robotics simulation framework for application-specific optimal kinematics (2019), in: Current Directions in Biomedical Engineering, 5:1(145-148)