The medical robotics field is making a solid road towards its quest of non-invasive and non-disruptive surgical technologies to provide safe, effective and seamless therapies. The surgical technology has advanced various methodologies to transfer and enhance the surgeon’s dexterity to the surgical site while reducing soft tissue trauma.

This has been achieved by breaking down and transforming the complex surgeon-robot-tissue interaction. The emergence of soft and hybrid robotic tools and robots in recent years is promising to provide hyper redundancy and dexterity while reducing soft tissue trauma. Sensing and modeling techniques of the surgeon-robot interaction are enhanced by haptic technologies to enhance surgical robot control.

Higher robot dexterity and redundancy raise stakes for intuitive control and autonomy, while models of surgeon-robot interaction assume a through-body physical coupling highly dependent on tissue site sensing. In recent years, cooperative control has been shown to further enhance the intervention outcomes by sophisticated coupling between the robot and surgeon, with benefits to the ergonomy of the surgical procedure and robot precision. Machine learning algorithms have been incorporated into such robotic platforms, yet challenges still exist around context awareness, computational requirements.

Questions still remain about what is the balance between the levels of autonomy in order to maintain safety and efficacy. What is the guidance according to which we adjust the levels of autonomy of the intervention or therapy?

The workshop aims to raise discussions around this question, rooted in state of art research and clinical experience, seeking guidance on the development of hybrid instruments following participatory design with surgeons and related medical experts.

The workshop will consist of plenary talks by established and leading robotics and clinical experts in the field followed by short talks by experts and rising leaders in the field. The presenters’ gender balance will be maintained at all levels of seniority. The workshop will close with a forum discussion during which we inquire and formulate principles of versatile and seamless technologies which emerge during this workshop. We will invite poster submissions on workshop related topics and encourage PhD and early career researchers as well as junior doctors to participate.

Date: Wednesday 29th June 2022

Time: 09:00-17:00

Programme

08:30 – 09:00 Registration & Coffee
09:00 – 09:05 Prof Sanja Dogramadzi & Dr Dana Damian: Welcome & Introduction
09:05 – 09:25 Anthony Kouparis: I,robot
09:25 – 09:45 Yarden Sharon: Motor Learning in Surgical Skill Acquisition
09:45 – 10:05 Fanny Ficuciello: Challenges towards the automation of the surgical gesture
10:05 – 10:25 Canberk Sozer: Soft surgical devices and implants
10:25 – 10:55 Zheng Li: Toward intelligent autonomous endoscope robots for minimally invasive surgery
10:55 – 11:10 Coffee Break
11:10 – 11:30 Lin Cao: Self-growing robotic endoscope
11:30 – 11:50 Anh Nguyen: Deep learning for autonomous vascular access
11:50 – 12:10 Shuhei Miyashita: Ingestible/non-invasive robots
12:10 – 12:30 Francesco Setti: Cognitive control of surgical robots
12:30 – 13:00 Elena De Momi: Shared control and autonomous control, the surgeon-in-the loop in robotic surgery
13:00 – 14:00 Lunch Break
14:00 – 14:05 Dr Dandan Zhang & Prof. Chenguang Yang: Introduction
14:05 – 14:35 Alberto Arezzo: Organ sparing surgery for the lower GI tract
14:35 – 14:55 Assunta Fabozzo: Soft robotics for body implants
14:55 – 15:15 Hang Su: Teleoperation and Human-Robot Cooperative Control for Robotic Surgery
15:15 – 15:30 Coffee Break
15:30 – 16:00 Ann Majewicz Fey: Tele-mentoring for needle insertion
16:00 – 16:30 Michael Yip: Practical Machine Learning for Autonomous Surgery: the Real-to-Sim-to-Real Paradigm
16:30 – 16:45 ALL: Panel
16:45 – 16:50 Closing Remarks

 

Learning Outcomes

  • Understanding of the main current and future challenges to versatile and seamless surgical technologies;
  • Identifying the main principles and methodologies for versatile and seamless surgical technologies;
  • Identifying the future of instrument design for optimal access and reduced tissue trauma;
  • Understanding surgeon’s perspective in co-design process for fast clinical innovation adoption;
  • Understanding how cooperative control can help surgeons conduct complex surgical procedures;
  • Understanding how cooperative control can increase efficiency and precision in surgical procedures.;
  • Understanding how machine learning algorithms can support decision-making and automation for surgical operation.;
  • Understanding the latest developments and specific use cases of cooperative control, semi-autonomous or autonomous surgical robotic platforms for different types of surgery;
  • Understanding the challenges and future directions of cooperative control and autonomous robotic system for surgery;
  • Focus article on this topic which will be shared with the wider public.

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This workshop is worth 6 CPD points, please register to qualify for certification.

Speakers

Anthony Kouparis

  • Talk: I,robot

Yarden Sharon

  • Talk: Motor Learning in Surgical Skill Acquisition

Canberk Sozer

  • Talk: Soft surgical devices and implants

Zheng Li

  • Talk: Toward intelligent autonomous endoscope robots for minimally invasive surgery

Lin Cao

  • Talk: Self-growing robotic endoscope

Professor Elena De Momi

Elena De Momi, MSc in Biomedical Engineering in 2002, PhD in Bioengineering in 2006, currently…

  • Talk: Shared control and autonomous control, the surgeon-in-the loop in robotic surgery

Assunta Fabozzo

  • Talk: Soft robotics for body implants

Hang Su

  • Talk: Teleoperation and Human-Robot Cooperative Control for Robotic Surgery

Michael Yip

  • Talk: Practical Machine Learning for Autonomous Surgery: the Real-to-Sim-to-Real Paradigm