IP Library Granted Patent US 12,220,192
Granted Patent B2
US 12,220,192 · App. 18/385,994 · Granted Feb 11, 2025

Robotic systems and methods for controlling a tool to remove material from a workpiece

Inventors: José Luis Moctezuma de la Barrera (Freiburg, DE); David Gene Bowling (Los Ranchos De Albuquerque, NM); Donald W. Malackowski (Schoolcraft, MI); Patrick Roessler (Merzhausen, DE); Joel N. Beer (Albuquerque, NM)
Assignee: MAKO Surgical Corp.
A61B34/30A61B17/1626A61B34/10A61B34/20A61B34/32A61B90/39B25J9/1664B25J9/1671B25J11/0055A61B17/1764A61B2034/105A61B2034/2051A61B2034/2055A61B2034/2057A61B2034/2063A61B2090/3945G05B19/40937G05B2219/35021G05B2219/45168
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,220,192
App. No.
18/385,994
Granted
Feb 11, 2025
Kind
B2
Abstract

A surgical system and method involve a manipulator including a plurality of links and joints and a tool coupled to the manipulator. A navigation system includes a localizer, a first tracker coupled to the robotic manipulator or the tool, and a second tracker coupled to a workpiece. Controller(s) determine, from the navigation system, a pose of the tool relative to the workpiece. The controller(s) control the robotic manipulator to facilitate removal of a first portion from the workpiece with the tool and sense interaction between the tool and the workpiece during removal of the first portion to detect a density of the workpiece. The controller(s) control the robotic manipulator to facilitate removal of a second portion from the workpiece with the tool, wherein a cutting depth for the second portion is based, at least in part, on the detected density.

Claims (39)

1. A surgical system comprising:

a robotic manipulator including a plurality of links and joints;

a tool coupled to the robotic manipulator and the tool being configured to remove material from a workpiece;

a navigation system comprising a localizer, a first tracker coupled to the robotic manipulator or the tool, and a second tracker coupled to the workpiece, and wherein the localizer is configured to detect the first and second trackers; and

one or more controllers coupled to the robotic manipulator and the navigation system, the one or more controllers configured to:

determine, from the navigation system, a pose of the tool relative to the workpiece;

control the robotic manipulator to facilitate removal of a first portion from the workpiece with the tool at a first cutting depth;

sense interaction between the tool and the workpiece during removal of the first portion to detect a density of the workpiece;

control the robotic manipulator to facilitate removal of a second portion from the workpiece with the tool at a second cutting depth, wherein the second cutting depth is based, at least in part, on the detected density and is different from the first cutting depth; and

modify operation of the tool based, at least in part, on the detected density.

2. The surgical system of claim 1 , wherein the one or more controllers modify operation of the tool by being configured to modify one or both of: a feed rate of the tool and a cutting speed of the tool.

3. The surgical system of claim 1 , wherein:

the robotic manipulator comprises a force/torque sensor to detect forces/torques experienced by the tool; and

the one or more controllers further sense interaction between the tool and the workpiece by being configured to determine forces/torques experienced by the tool during interaction with the workpiece.

4. The surgical system of claim 1 , wherein the one or more controllers are configured to:

obtain a density distribution of the workpiece from a pre-operative model of the workpiece;

evaluate the density distribution of the workpiece to identify a first density classification for the first portion of the workpiece; and

control the robotic manipulator to facilitate removal of the first portion from the workpiece based, at least in part, on the first density classification.

5. The surgical system of claim 1 , wherein the one or more controllers are configured to control the robotic manipulator in a manual mode of operation to guide a user to facilitate removal of the first portion with the tool.

6. The surgical system of claim 1 , wherein the tool is further defined as a saw blade.

7. The surgical system of claim 1 , wherein the first portion and the second portion are removed to receive an implant.

8. The surgical system of claim 1 , wherein the density is indictive of a bone mineral density.

9. A method of operating a surgical system, the surgical system including a robotic manipulator including a plurality of links and joints, a tool coupled to the robotic manipulator and the tool being configured to remove material from a workpiece, a navigation system comprising a localizer, a first tracker coupled to the robotic manipulator or the tool, and a second tracker coupled to the workpiece, and wherein the localizer is configured to detect the first and second trackers, and one or more controllers coupled to the robotic manipulator and the navigation system, the method comprising the one or more controllers performing the following:

determining, from the navigation system, a pose of the tool relative to the workpiece;

controlling the robotic manipulator to facilitate removing of a first portion from the workpiece with the tool at a first cutting depth;

sensing interaction between the tool and the workpiece during removal of the first portion for detecting a density of the workpiece;

controlling the robotic manipulator to facilitate removing of a second portion from the workpiece with the tool at a second cutting depth, wherein the second cutting depth, is based, at least in part, on the detected density and is different from the first cutting depth; and

modifying operation of the tool based, at least in part, on the detected density.

10. The method of claim 9 , comprising the one or more controllers modifying operation of the tool by further modify one or both of: a feed rate of the tool and a cutting speed of the tool.

11. The method of claim 9 , wherein the robotic manipulator comprises a force/torque sensor to detect forces/torques experienced by the tool, and comprising the one or more controllers:

sensing interaction between the tool and the workpiece by determining forces/torques experienced by the tool interacting with the workpiece.

12. The method of claim 9 , comprising the one or more controllers:

obtaining a density distribution of the workpiece from a pre-operative model of the workpiece;

evaluating the density distribution of the workpiece for identifying a first density classification for the first portion of the workpiece; and

controlling the robotic manipulator to facilitate removing of the first portion from the workpiece based, at least in part, on the first density classification.

13. The method of claim 9 , comprising the one or more controllers controlling the robotic manipulator in a manual mode of operation to guide a user to facilitate removal of the first portion with the tool.

14. The method of claim 9 , wherein the tool is further defined as a saw blade.

15. The method of claim 9 , wherein the first portion and the second portion are removed to receive an implant.

16. The method of claim 9 , wherein the density is indictive of a bone mineral density.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 4, 2024
From: BOWLING, DAVID GENE, MR.; MALACKOWSKI, DONALD W., MR.; BEER, JOEL N., MR.
To: MAKO SURGICAL CORP.
Reel/Frame 066636/0305 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 4, 2024
From: MOCTEZUMA DE LA BARRERA, JOSÉ LUIS; ROESSLER, PATRICK
To: STRYKER LEIBINGER GMBH & CO. KG
Reel/Frame 066636/0370 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 4, 2024
From: STRYKER LEIBINGER GMBH & CO. KG
To: MAKO SURGICAL CORP.
Reel/Frame 066636/0422 →
Continuity (5)
Continuation 17685488 · Mar 3, 2022
Continuation 16139985 · Sep 24, 2018
Continuation 15195039 · Jun 28, 2016
Provisional Application 62187481 · Jul 1, 2015
Related Publication 20240058084A1 · Feb 22, 2024
References Cited (53)
US 4672550A · Winterbottom · 1987 [cited by applicant]
US 5274565A · Reuben · 1993 [cited by applicant]
US 5408409A · Glassman et al. · 1995 [cited by applicant]
US 5548694A · Frisken Gibson · 1996 [cited by applicant]
US 5824085A · Sahay et al. · 1998 [cited by applicant]
US 6665948B1 · Kozin et al. · 2003 [cited by applicant]
US 6990222B2 · Arnold · 2006 [cited by applicant]
US 7055601B2 · Barrow · 2006 [cited by applicant]
US 7725162B2 · Malackowski et al. · 2010 [cited by applicant]
US 8219352B2 · Taguchi et al. · 2012 [cited by applicant]
US 8439978B2 · Ebbitt · 2013 [cited by applicant]
US 8560047B2 · Haider et al. · 2013 [cited by applicant]
US 8649577B1 · Arnold et al. · 2014 [cited by applicant]
US 8657821B2 · Palermo · 2014 [cited by applicant]
US 8744819B2 · Rodriguez Y Baena · 2014 [cited by applicant]
US 8936596B2 · Mittelstadt et al. · 2015 [cited by applicant]
US 9008757B2 · Wu · 2015 [cited by applicant]
US 9119655B2 · Bowling et al. · 2015 [cited by applicant]
US 9381085B2 · Axelson, Jr. et al. · 2016 [cited by applicant]
US 9744044B2 · Cohen et al. · 2017 [cited by applicant]
US 9770302B2 · Kang et al. · 2017 [cited by applicant]
US 9814532B2 · Bell et al. · 2017 [cited by applicant]
US 10117713B2 · Moctezuma de la Barrera et al. · 2018 [cited by applicant]
US 10441294B2 · Lavallee et al. · 2019 [cited by applicant]
US 10441434B2 · Miller et al. · 2019 [cited by applicant]
US 11291511B2 · Moctezuma de la Barrera et al. · 2022 [cited by applicant]
US 20040010190A1 · Shahidi · 2004 [cited by applicant]
US 20100086181A1 · Zug et al. · 2010 [cited by applicant]
US 20110015649A1 · Anvari et al. · 2011 [cited by applicant]
US 20110112397A1 · Shen · 2011 [cited by applicant]
US 20110306985A1 · Inoue · 2011 [cited by examiner]
US 20120059378A1 · Farrell · 2012 [cited by applicant]
US 20130035690A1 · Mittelstadt et al. · 2013 [cited by applicant]
US 20140031664A1 · Kang et al. · 2014 [cited by applicant]
US 20140039314A1 · Stoianovici et al. · 2014 [cited by applicant]
US 20140039517A1 · Bowling et al. · 2014 [cited by applicant]
US 20140200621A1 · Malackowski et al. · 2014 [cited by applicant]
US 20140376701A1 · Kopperdahl et al. · 2014 [cited by applicant]
US 20150157419A1 · Bell · 2015 [cited by applicant]
US 20150348259A1 · Souza et al. · 2015 [cited by applicant]
US 20150366629A1 · Bowling · 2015 [cited by applicant]
US 20180263697A1 · Eskesen · 2018 [cited by examiner]
US 20190021802A1 · Moctezuma de la Barrera et al. · 2019 [cited by applicant]
US 20220183777A1 · Moctezuma de la Barrera et al. · 2022 [cited by applicant]
DE 19954005A1 · 2001 [cited by applicant]
WO 2009092164A1 · 2009 [cited by applicant]
WO 2016115306A1 · 2016 [cited by applicant]
Choi et al., “VISBONE: 3D Visualization of Bone Mineral Density”, Pacific Conference on Computer Graphics and Applications, pp. 138-146, IEEE Computer Society, 1999, 9 pages. [cited by applicant]
English language abstract and machine-assisted translation of DE19954005 extracted from espacenet.com Oct. 14, 2016, 5 pages. [cited by applicant]
Ferretti, “Peripheral Quantitative Computed Tomography (pQCT) for Evaluating Structural and Mechanical Properties of Small Bone”, Practical Guide for Mechanical Testing of Bone, 1999, CRC Press, Boca Raton, FL, USA, 32 … [cited by applicant]
International Search Report and Written Opinion for PCT/US2016/039842 dated Sep. 29, 2016, 15 pages. [cited by applicant]
Lin et al., “Collision Detection Between Geometric Models: A Survey”, In Proc. of IMA Conference on Mathematics of Surfaces, University of North Carolina at Chapel Hill, Jun. 1998, 20 pages. [cited by applicant]
Salisbury et al., “Haptic Rendering: Introductory Concepts”, pp. 24-32., IEEE Computer Graphics and Applications Mar./Apr. 2004, IEEE Computer Society, 2004, 9 pages. [cited by applicant]