Design and validation of a medical robotic device system to control two collaborative robots for ultrasound-guided needle insertions

Johann Berger, Michael Unger, Johannes Keller, C. Martin Reich, Thomas Neumuth, Andreas Melzer (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
85 Downloads (Pure)


The percutaneous biopsy is a critical intervention for diagnosis and staging in cancer therapy. Robotic systems can improve the efficiency and outcome of such procedures while alleviating stress for physicians and patients. However, the high complexity of operation and the limited possibilities for robotic integration in the operating room (OR) decrease user acceptance and the number of deployed robots. Collaborative systems and standardized device communication may provide approaches to overcome named problems. Derived from the IEEE 11073 SDC standard terminology of medical device systems, we designed and validated a medical robotic device system (MERODES) to access and control a collaborative setup of two KUKA robots for ultrasound-guided needle insertions. The system is based on a novel standard for service-oriented device connectivity and utilizes collaborative principles to enhance user experience. Implementing separated workflow applications allows for a flexible system setup and configuration. The system was validated in three separate test scenarios to measure accuracies for 1) co-registration, 2) needle target planning in a water bath and 3) in an abdominal phantom. The co-registration accuracy averaged 0.94 ± 0.42 mm. The positioning errors ranged from 0.86 ± 0.42 to 1.19 ± 0.70 mm in the water bath setup and from 1.69 ± 0.92 to 1.96 ± 0.86 mm in the phantom. The presented results serve as a proof-of-concept and add to the current state of the art to alleviate system deployment and fast configuration for percutaneous robotic interventions.
Original languageEnglish
Article number875845
Number of pages16
JournalFrontiers in Robotics and AI
Publication statusPublished - 28 Sept 2022


  • surgical robotics
  • robotic biopsy
  • image-guided robot
  • collaborative robotics
  • IEEE 11073 SDC

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications


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