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SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
System Engineering and Automation Department
http://www.isa.uma.es
University of Malaga (Spain)
ROBOTICS IN ALPE-ADRIA-DANUBE REGION (RAAD 2010)
A MULTI-BEHAVIOR ALGORITHM FOR AUTO-GUIDED
MOVEMENTS IN SURGEON ASSISTANCE
Enrique Bauzano Núñez
Víctor Muñoz-Martínez, Isabel García-Morales
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
Auto-Guided Movements in Surgeon Assistance
OUTLINE
I. General Overview
II. Laparoscopic Auto-Guided Navigation Problem
III.Control Strategy
a. APF behavior
b. Velocity corrections
c. Backward movement
IV.Implantation and Experiments
V. Conclusions and Future Works
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
I. GENERAL OVERVIEW
INDEX
I.Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
Auto-Guided Movements in Surgeon Assistance
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
I. General Overview
LAPAROSCOPIC SURGERY
Advantages
 Lessen recovery time
 Limit post-operative complications
 Lower scars
Constraints
 Movement limitations
 Loss of touch and 3D perception
 Hand-eye coordination problems
INDEX
I.Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
Main Drawback of Robotic Assistants: Lengthen operating time
Solution: Give more autonomy to surgeon assistants
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
A Semi-Autonomous Micro-Robotic System for Colonoscopy
(Robotics & Biomimetics, 2008) G. Chen & M. Pham
Motion Estimation in Beating Heart Surgery (Biomedical
Engineering, 2005) T. Ortmaier, M. Gröger et al.
I. General Overview
Visual Servoing: The robot
assistant automatically focuses the
workspace where the surgeon is
working.
Auto-Guided Movements: The
robot assistant moves to a target
or performs a task without the
surgeon direct intervention.
EXAMPLES
INDEX
I.Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
II. LAPAROSCOPIC AUTO-GUIDED
NAVIGATION PROBLEM
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
Auto-Guided Movements in Surgeon Assistance
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
II. Laparoscopic Auto-Guided Navigation Problem
R
C O
S
RG
CG
OG
SG
Robot
Camera
Target Tool
Obstacle Tool
View Field
Abdomen
Robot
Trajectory
GOAL: Find a path for the robot to reach the Target tool by avoiding
the Obstacle Tool.
AUTO-GUIDED NAVIGATION PROBLEM
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
1. Rotate around estimated fulcrum
Fulcrum displacement over the abdomen
2. Passive Wrist Behavior
Endoscope rotation over the wrist to reduce
fulcrum displacement
3. Altitude angle correction
Recover desired altitude angle
I
L3
L1
XI
ZI
C
PASSIVE WRIST EMULATION STRATEGY
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
II. Laparoscopic Auto-Guided Navigation Problem
3-Layer Control for Active Wrists in Laparoscopic Surgery
(IROS, 2009) E. Bauzano, V.F. Munoz et al.
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
CISOBOT: SEMI-AUTONOMOUS ROBOT ASSISTANT
Surgeon
Patient
Surgeon
Model
3D Tracking
Image
Processing
Tool
Movement
Surgeon Command
(Voice, Gesture…)
Surgeon’s Tools
Location
Maneuver
Processed
Image
Robot
Assistant
PWE
Controller
Auto-Guide
System
Robot
Trajectory
Image
Caption
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
II. Laparoscopic Auto-Guided Navigation Problem
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
III. CONTROL STRATEGY
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
Auto-Guided Movements in Surgeon Assistance
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
III. Control Strategy
MULTI-BEHAVIOR OBSTACLE AVOIDER
Fuzzy
Decision
APF
Planner
Velocity
Corrections
Backward
Movement
Σ
AUTO-GUIDE SYSTEM (LOCAL PLANNER)
c1
c2
c3
v1
v2
v3
vobstacle
vrobot
2
1
3
4
vobstacle
vrobot
FUZZY DECISION
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
a. APF Planner
b. Velocity
Corrections
c. Backward
movement
IV.Experiments
V.Conclusions
III. Control Strategy
ARTIFICIAL POTENTIAL FIELD (APF) PLANNER
Procedure for Automatic Movements
1) Locate the minimal distance point MR
2) Calculate its target MR
f
3) Apply the forces and compute the needed velocity of MR
4) Move the robot tool to fit both, the new location and the
fulcrum constraint GR
End Procedure



















0
02
2
0
if0
ifˆ
2
111



n
r
KF
goal
r
rep

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goalaatt rKF

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t
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F
tvttv 
1
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11 )()(


New Method for Improving Artificial Potential Field in Mobile Robot Obstacle Avoidance
(International Conference on Automation and Logistics, 2007) S. Enxiu, C. Tao et al.
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
III. Control Strategy
VELOCITY CORRECTIONS
RM
OM
Estimated
obstacle
trajectory
Robot’s
Path
Time to
cross
Distance to
cross
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
a. APF Planner
b.Velocity
Corrections
c. Backward
movement
IV.Experiments
V.Conclusions
Behavior: Reduce the robot velocity when it moves nearby the
surgeon’s obstacle tool.
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
III. Control Strategy
BACKWARD MOVEMENT
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
a. APF Planner
b. Velocity
Corrections
c. Backward
movement
IV.Experiments
V.Conclusions
GR GO
Behavior: Follow the surgeon’s obstacle tool trajectory when he
or she forces the contact with the robot tool.
OvBF

3
ρmin
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
IV. IMPLANTATION AND EXPERIMENTS
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
Auto-Guided Movements in Surgeon Assistance
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
IV. Implantation and Experiments
IMPLANTATION
Robot
Assistant
3D Tracker
Camera Tool
Surgeon’s
Tools
Virtual
Patient
Force
Sensor
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
IV. Implantation and Experiments
IN-VITRO EXPERIMENT
Link to videoCISOBOT Video
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
IV. Implantation and Experiments
EXPERIMENTAL RESULTS
STATIC OBSTACLE
DYNAMIC OBSTACLE
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
V. CONCLUSIONS AND FUTURE WORKS
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
Auto-Guided Movements in Surgeon Assistance
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
CONCLUSIONS
The robot tool movements must be restricted to
the camera cone of vision, and the camera should
follow the robot tool.
Include a map of the abdominal cavity to avoid
inner collisions with the patient.
The robot tool-patient interaction must be
studied to extend the possible maneuvers.
FUTURE WORKS
An auto-guided system has been developed to find paths for the robot
assistant to reach a surgeon tool while it avoids collisions with the other one.
Thanks to the force sensor, the fulcrum is always located and forces over the
abdomen are reduced.
The robot tool may react just before a contact with the obstacle tool. This is
useful for surgeon-robot interaction.
V. Conclusions and Future Works
INDEX
I. Overview
II.Auto-Guided
Problem
III.Control
Strategy
IV.Experiments
V.Conclusions
SystemEngineeringand
AutomationDepartment
Mr. Enrique Bauzano Nuñez
ebauzano@uma.es
Thanks for your attention
Auto-Guided Movements in Surgeon Assistance

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RAAD 2010 - A Multi-Behavior Algorithm for Auto-Guided Movements in Surgeon Assistance

  • 1. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es System Engineering and Automation Department http://www.isa.uma.es University of Malaga (Spain) ROBOTICS IN ALPE-ADRIA-DANUBE REGION (RAAD 2010) A MULTI-BEHAVIOR ALGORITHM FOR AUTO-GUIDED MOVEMENTS IN SURGEON ASSISTANCE Enrique Bauzano Núñez Víctor Muñoz-Martínez, Isabel García-Morales
  • 2. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es Auto-Guided Movements in Surgeon Assistance OUTLINE I. General Overview II. Laparoscopic Auto-Guided Navigation Problem III.Control Strategy a. APF behavior b. Velocity corrections c. Backward movement IV.Implantation and Experiments V. Conclusions and Future Works
  • 3. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es I. GENERAL OVERVIEW INDEX I.Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions Auto-Guided Movements in Surgeon Assistance
  • 4. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es I. General Overview LAPAROSCOPIC SURGERY Advantages  Lessen recovery time  Limit post-operative complications  Lower scars Constraints  Movement limitations  Loss of touch and 3D perception  Hand-eye coordination problems INDEX I.Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions Main Drawback of Robotic Assistants: Lengthen operating time Solution: Give more autonomy to surgeon assistants
  • 5. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es A Semi-Autonomous Micro-Robotic System for Colonoscopy (Robotics & Biomimetics, 2008) G. Chen & M. Pham Motion Estimation in Beating Heart Surgery (Biomedical Engineering, 2005) T. Ortmaier, M. Gröger et al. I. General Overview Visual Servoing: The robot assistant automatically focuses the workspace where the surgeon is working. Auto-Guided Movements: The robot assistant moves to a target or performs a task without the surgeon direct intervention. EXAMPLES INDEX I.Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions
  • 6. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es II. LAPAROSCOPIC AUTO-GUIDED NAVIGATION PROBLEM INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions Auto-Guided Movements in Surgeon Assistance
  • 7. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions II. Laparoscopic Auto-Guided Navigation Problem R C O S RG CG OG SG Robot Camera Target Tool Obstacle Tool View Field Abdomen Robot Trajectory GOAL: Find a path for the robot to reach the Target tool by avoiding the Obstacle Tool. AUTO-GUIDED NAVIGATION PROBLEM
  • 8. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es 1. Rotate around estimated fulcrum Fulcrum displacement over the abdomen 2. Passive Wrist Behavior Endoscope rotation over the wrist to reduce fulcrum displacement 3. Altitude angle correction Recover desired altitude angle I L3 L1 XI ZI C PASSIVE WRIST EMULATION STRATEGY INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions II. Laparoscopic Auto-Guided Navigation Problem 3-Layer Control for Active Wrists in Laparoscopic Surgery (IROS, 2009) E. Bauzano, V.F. Munoz et al.
  • 9. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es CISOBOT: SEMI-AUTONOMOUS ROBOT ASSISTANT Surgeon Patient Surgeon Model 3D Tracking Image Processing Tool Movement Surgeon Command (Voice, Gesture…) Surgeon’s Tools Location Maneuver Processed Image Robot Assistant PWE Controller Auto-Guide System Robot Trajectory Image Caption INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions II. Laparoscopic Auto-Guided Navigation Problem
  • 10. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es III. CONTROL STRATEGY INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions Auto-Guided Movements in Surgeon Assistance
  • 11. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions III. Control Strategy MULTI-BEHAVIOR OBSTACLE AVOIDER Fuzzy Decision APF Planner Velocity Corrections Backward Movement Σ AUTO-GUIDE SYSTEM (LOCAL PLANNER) c1 c2 c3 v1 v2 v3 vobstacle vrobot 2 1 3 4 vobstacle vrobot FUZZY DECISION
  • 12. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es INDEX I. Overview II.Auto-Guided Problem III.Control Strategy a. APF Planner b. Velocity Corrections c. Backward movement IV.Experiments V.Conclusions III. Control Strategy ARTIFICIAL POTENTIAL FIELD (APF) PLANNER Procedure for Automatic Movements 1) Locate the minimal distance point MR 2) Calculate its target MR f 3) Apply the forces and compute the needed velocity of MR 4) Move the robot tool to fit both, the new location and the fulcrum constraint GR End Procedure                    0 02 2 0 if0 ifˆ 2 111    n r KF goal r rep   goalaatt rKF  2  t m F tvttv  1 1 11 )()(   New Method for Improving Artificial Potential Field in Mobile Robot Obstacle Avoidance (International Conference on Automation and Logistics, 2007) S. Enxiu, C. Tao et al.
  • 13. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es III. Control Strategy VELOCITY CORRECTIONS RM OM Estimated obstacle trajectory Robot’s Path Time to cross Distance to cross INDEX I. Overview II.Auto-Guided Problem III.Control Strategy a. APF Planner b.Velocity Corrections c. Backward movement IV.Experiments V.Conclusions Behavior: Reduce the robot velocity when it moves nearby the surgeon’s obstacle tool.
  • 14. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es III. Control Strategy BACKWARD MOVEMENT INDEX I. Overview II.Auto-Guided Problem III.Control Strategy a. APF Planner b. Velocity Corrections c. Backward movement IV.Experiments V.Conclusions GR GO Behavior: Follow the surgeon’s obstacle tool trajectory when he or she forces the contact with the robot tool. OvBF  3 ρmin
  • 15. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es IV. IMPLANTATION AND EXPERIMENTS INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions Auto-Guided Movements in Surgeon Assistance
  • 16. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions IV. Implantation and Experiments IMPLANTATION Robot Assistant 3D Tracker Camera Tool Surgeon’s Tools Virtual Patient Force Sensor
  • 17. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions IV. Implantation and Experiments IN-VITRO EXPERIMENT Link to videoCISOBOT Video
  • 18. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions IV. Implantation and Experiments EXPERIMENTAL RESULTS STATIC OBSTACLE DYNAMIC OBSTACLE
  • 19. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es V. CONCLUSIONS AND FUTURE WORKS INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions Auto-Guided Movements in Surgeon Assistance
  • 20. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es CONCLUSIONS The robot tool movements must be restricted to the camera cone of vision, and the camera should follow the robot tool. Include a map of the abdominal cavity to avoid inner collisions with the patient. The robot tool-patient interaction must be studied to extend the possible maneuvers. FUTURE WORKS An auto-guided system has been developed to find paths for the robot assistant to reach a surgeon tool while it avoids collisions with the other one. Thanks to the force sensor, the fulcrum is always located and forces over the abdomen are reduced. The robot tool may react just before a contact with the obstacle tool. This is useful for surgeon-robot interaction. V. Conclusions and Future Works INDEX I. Overview II.Auto-Guided Problem III.Control Strategy IV.Experiments V.Conclusions
  • 21. SystemEngineeringand AutomationDepartment Mr. Enrique Bauzano Nuñez ebauzano@uma.es Thanks for your attention Auto-Guided Movements in Surgeon Assistance