Finalists of the KUKA Innovation Award 2019
Back pain is a widespread health problem. The goal of the project from the developers at Capsix Robotics in Lyon is to perform an automatic and customized back massage using the KUKA LBR Med. The treatments are defined based on a generic body model and adapted to the patient using sensors. Besides massages, this technology makes various autonomous and customized body and skin treatments possible.
Team A.I. collaborative robot for laser treatments
Chronic venous disorders are typically treated using laser-based therapies. Usually, the laser is guided with the naked eye – which is challenging and requires a great deal of experience. The Portuguese team from the 2AI Applied Artificial Intelligence Laboratory of the Polytechnic Institute of Cávado and Ave is developing a robot-supported laser treatment for leg veins with the LBR Med based on automatic detection of unhealthy veins. Through cooperation of the doctor and robot, the treatment results are expected to improve significantly.
The colonoscopy is a common procedure to detect bowel cancer in its early stages. This procedure offers major advantages. Nevertheless, it also has disad-vantages such as the risk of perforation, pain and high costs. As an alternative, researchers from the universities of Leeds, Vanderbilt and Turin are developing a robot platform using a magnetic capsule which navigates through the bowels thanks to magnetic coupling with an external magnet on an LBR Med. To enhance safety and performance, the team uses the Roboception vision system and creates an external 3D map of the patient.
A fundamental challenge in neurosurgical robotics is the development of autonomous and intelligent robots that can be used as sophisticated surgical instruments. They can make operating procedures shorter and safer. To achieve this, researchers at the University of Zagreb are developing an interactive robotic system to support neurosurgeons during the preoperative phase. For the pre-op procedure, the team is working on an interactive, gesture-based operation planning interface as well as on haptic and visual control methods for the actual operation.
The Technical University of Munich team’s application focuses on robot-assisted treatment of micro-fractures in the spine. Here, the LBR Med provides support during insertion of the needle into the spine. The surgeon also receives information about the procedure via augmented reality glasses. The goal of the project is to make the current clinical procedure more precise, easier to carry out and more efficient.