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Introduction to medical robotics
Robots are...
• Accurate and precise; Untiring
• Smaller or larger than people
(as needed)
• Remotely operated (as needed)
• Connected to computers, which gives
them access to information
• Not always able to operate autonomously in
highly complex, uncertain environments
~10 cm
~1 cm
Need for human
interaction
number of patients treated
TODAY:
Treatments are
both qualitatively and
quantitatively limited
by human abilities
level of
challenge
WITH ROBOTICS:
More clinicians can perform
more difficult (and even
new) procedures; more
patients can be
rehabilitated
Potential Impact of
Medical Robotics
Preoperative Intraoperative
Postoperative
computer-assisted
planning
patient-specific
modeling
update model update plan
real-time
computer
assistance
computer-
assisted
assessment
database
patient
atlas
CAD
TQM
CAM
Surgical robotics:
Giving the surgeon
superhuman capabilities
Level of Human InputVaries
Oral Manual
Cooperative
manipulation
Teleoperation Autonomous
CyberKnife
da Vinci
JHU
AESOP
JHU
Dario et al.
Sensei
Surgeon
Patient
Open Surgery
Surgeon
Instrument/Camera
Patient
Minimally Invasive Surgery
© 2012 Intuitive Surgical, Inc.
Surgeon
Master Console
Teleoperated Robot-Assisted
Minimally Invasive Surgery
Information-Enhanced
RMIS
Patient-Side Robot
Patient
Instrument/Camera
© 2008 Intuitive Surgical, Inc.
Integrating Images
Laparoscopic
ultrasound
integrated
with the da
Vinci surgical
system
Russell Taylor and
Gregory Hager (JHU)
Force Feedback for Manipulation
no overlay dot overlay
In collaboration with D. D.Yuh of JHMI Cardiac Surgery
Graphical force feedback results in lower peak
forces, lower variability of forces, and fewer
broken sutures for untrained robot-assisted surgeons
Force Feedback for Exploration
In collaboration with D. D.Yuh of JHMI Cardiac Surgery and Li-Ming Su of JHMI Urology
The Sensing Challenge
stiffness
graphical
overlay
stiffness differences
are difficult to feel
through a rigid
contact
In collaboration with D.Yuh
(JHMI Cardiac Surgery) and
Li-Ming Su (JHMI Urology)
Preoperative Intraoperative
Postoperative
computer-assisted
planning
patient-specific
modeling
update model update plan
real-time
computer
assistance
computer-
assisted
assessment
database
patient
atlas
... also
for
training
Modeling:
Improving training and
planning (and paving the
way for autonomous
robotic procedures)
From Modeling to Simulation
S. DiMaio and S. E. Salcudean (University of British Columbia)
Example Commercial Simulators
Immersion Corp.
Laparoscopy Endovascular Endoscopy
Modeling Factors
Developing mechanical models from images Effects of material
properties, boundary
constraints, and
geometry
real tissue
haptic/visual
display human
data
recorded
simplifying
algorithm Rendering
Force/
Position
tool-tissue model
complex
tool-tissue model
In collaboration with K. Macura
(JHMI Radiology and Radiological Sciences)
Bicycle
Bicycle
Modeling enables needle steering
symmetric bevel
use tip asymmetry
pre-bent
insertion
rotation
Steering Performance
deformation
tele-
operation
In collaboration with N. Cowan and G. Chirikjian
(JHU ME), D. Song (JHMI Radiation Oncology), M.
Choti (JHMI Surgery), and K. Goldberg (UC Berkeley)
1 cm
Rehabilitation Robotics:
Replacing, training, or
assisting to improve
quality of life
Growing Healthcare Challenges
Maja Mataric (USC)
Socially Assistive Robotics
• Monitoring
• Coaching/training
• Motivation
• Companionship/socialization
Problem: cost/population size and growth trends
Need: personalized medium to long-term care
Part of the solution: human-centered robotics to
improve health outcomes
Robots can be a “force multiplier” for caregivers, reducing
health care costs and improving quality of life Maja Mataric (USC)
Movement Therapy and Assistance
• Over 25% of U.S. population has some functional
physical limitation that affects normal living
• 6.5M people in the US have had a stroke (by 2050,
cost projected to be $2.2 Trillion)
Optimizing Movement Therapy
In collaboration with A. Bastian
(KKI and JHU Neuroscience)
Neurally Controlled Prostheses
JHU Applied Physics Laboratory
Safety
Safety of industrial robots
is ensured by keeping humans
out of the workspace.
Medical robots come in
contact with both patients
and clinicians/caregivers.
PUMA Industrial Robot
Approaches include:
- Low force and speed
- Risk analysis (eliminate single points of failure)
- Fault tolerance (hardware and software)
- Fail safe design (system fails to a safe state)
- Redundant sensing
In an ideal world, medical
robotics includes:
• Quantitive descriptions of patient state
• Use of models to plan intervention
• Design of devices, systems, and processes to
connect information to action ( = robotics )
• Incorporating human input in a natural way
• Goal: improve health and quality of life
But these are only the technical challenges...

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Intro to Medical Robotics