advances in medical robotics research have enabled the performance of complex
procedures through the development of surgical platforms with enhanced dexterity.
However, the complexity of these systems increases the cognitive burden on the
operator, especially when a large number of degrees-of-freedom have to be controlled
simultaneously by the surgeon. For seamlessly interfacing the robotic system
with the human, is therefore fundamental to improve the ergonomics and reduce
the control dimensionality by automating the performance of simple tasks and integrating
intelligent features in novel surgical robots.
further improve the safety of robotically assisted surgery, recent medical robotics
research is also investigating novel approaches to provide cooperative control
between the surgeon and the robot. In this scenario, the robot can execute specific
surgical tasks autonomously under the supervision of the surgeon. To this end,
the robot must be able to sense changes in the dynamic surgical environment and
adapt its actions accordingly, always keeping the human in the control loop.
This is critical for overcoming the potential legal and ethical issues and promoting
the wider uptake of robotic surgery.
aim of this workshop is to bring together researchers from relevant disciplines
to discuss novel techniques and promising results for the development of
cognitive surgical robots and to establish the role of such systems in promoting
the effective and safe integration of robotic technology in surgery. Speakers
working on sensing, machine learning, human-robot interaction, biomechanical
modeling and surgical workflow analysis will be invited to present at the
workshop, while other participants will be gathered through a call for
workshop will cover (but will not be limited to) the following topics:
- Virtual fixtures
and dynamic active constraints
- Haptic, tactile
and other perceptual feedback mechanisms
robotic control through perceptual docking
- Real-time surgical
workflow monitoring and learning from demonstration
- Visual servoing
and gaze contingent control
factors influencing human-robot interaction
reality techniques for surgical navigation
biomechanical modeling and prediction of tissue deformation
Primary audience includes scientists, PhD students,
developers/companies and surgeons working in the surgical robotics field. Secondary audience includes all the categories above
dealing with non-robotic surgical assistance and navigation and surgeons still
not using any of the above technologies.
Workshop material will also be available for download on the website to reach those who will not be able to attend.
Professor Guang-Zhong Yang (email@example.com) - Director of the Hamlyn Centre for Robotic
Surgery, Imperial College London
Professor Paolo Fiorini (firstname.lastname@example.org) - Coordinator of the
EUROSURGE and i-Sur Projects, Department of Computer Science,
University of Verona