Medical robotics workshops at IROS2020

 

IROS 2020 Full-day Workshops are starting today, offering numerous training and learning opportunities - for free!

October 25, 2020

• Autonomous System in Medicine: Current Challenges in Design, Modeling, Perception, Control and Applications bz Dr. Su et al. 
• The meeting room will be available at 7:30am for morning section and 13:35pm for the afternoon section. ZOOM LINK. Meeting ID: 834 579 4363.
• Passcode: robot@2020
  

October 29, 2020

• Robots for Health and Elderly Care - RoboHEC: An Honest Discourse on the Gap Between Research and Practical Applications by Bodenhagen et al. 
• Invited speakers: Thiusius Rajeeth Savarimuthu: When does the gap between healthcare and technology turn into an enabler?
• Mette Maria Skjøth:  Hospital of the future – How can robots play a role?
• Yoshio Matsumoto:  Development and introduction of robotic devices for elderly care: Japan experience and future perspective    
• Jenay Beer:  Robotics for Persons with Dementia: Opportunities for Cognitive Training, Social Connectedness, and Health Management    
• Holly Yanco:  Design of Human-Robot Interaction for Assistive Manipulation 
  

November 6, 2020

• Cognitive Robotic Surgery: Perception, Inference, Planning and Automation, Clinical, Social and Ethical Implications by Dr. Stoyanov et al.
• This workshop will focus on the cognitive aspects of robotic surgery: what are the aspects of an artificially intelligent robotic system for surgery? Given the large breadth in surgical robotics today, a focus on cognitive aspects of the robotic systems and the artificial intelligence underlying their behaviors is increasingly important to focus on; a parallel to the discussion of self-driving cars, another area where human life is in the hands of the AI. To explore this, the following key areas will be the primary focus of the workshop:
• Perception: ​the use of sensory feedback from optical, force, etc. modalities to perform localization of the robot and the tissues of interest, context of the situation, and etc. Segmentation, tracking, reconstruction, fusion, robot estimation, etc.    
• Inference:​ strategies for contextual understanding of the environment and the robot. This falls between perception and planning and may generalize beyond the systems themselves to understanding more about the clinical process, surgeons, etc.
• Planning and Automation:​ use of perception and inferencing to generate and follow plans to perform an intervention or diagnostic procedure. Consideration of human-in-the-loop, co-robot and human-robot interactions, motion and task planning.    
• Clinical, Practical, Social, and Ethical Implications:​ clinical perspectives of robotics and automation in surgery; practical issues of data availability and validation; considerations of impact and need, commercial value and market size; ethical implications of increased automation and robotic tools in the operating room.