Award for the best open-source software
Congratulations to Martin Huber, Christos Bergeles, Tom Vercauteren, and Christopher Mower for winning the award for the best open-source software at the Hamlyn Symposium’s Workshop: Open-Source Software for Surgical Technologies.
The work aims at community building for the KUKA LBR surgical robot and enables accelerated research and deployment with production level software. The core software is implemented in C++ with first-class ROS 2 integration and thus allows interfacing from other programming languages such as Python, Rust, you name it.
Martin Huber
PhD Student
Martin is a PhD Student with research interests in automatic surgical procedures.
Christopher E. Mower
Alumni
Christopher is a Research Associcate with interests in surgical robotics, human-robot collaboration, imitation learning, and shared autonomy.
Tom Vercauteren
Professor of Interventional Image Computing
Tom’s research interests include machine learning and computer assisted interventions
Christos Bergeles
Associate Professor of Surgical Robotics
Christos’ research interests include surgical robotics and AI assisted interventions