Measurement guided resurfacing during robotic resection
A surgical system is provided for robotically resecting tissue. The system includes a surgical robot with an end-effector configured to remove tissue along a path up to a planned boundary. A computing system interfaces with the surgical robot and includes one or more processors, non-transient storage memory, and software executable instructions. The computing system records deviations between the end-effector and the planned boundary while the end-effector removes tissue along the path during a first pass. The system then determines if the end-effector should perform a subsequent pass along at least a portion of the path based on the recorded deviations. A method for robotically resecting tissue along a path up to a planned boundary is also provided that determined on the recorded deviations, if the end-effector should perform a subsequent pass along at least a portion of the path.
1. A surgical system for resecting tissue, the system comprising:
a surgical robot comprising an end-effector configured to remove a tissue at planned end-effector position; and
a computing system comprising one or more processors configured to:
record an end-effector position to generate a recorded end-effector position while the end-effector removes a tissue at the recorded end-effector position;
determine a deviation between the recorded end-effector position and the planned end-effector position; and
compare the deviation against pre-defined criteria,
wherein, when the deviation meets or exceeds the pre-defined criteria, the computing system is further configured to:
instruct the surgical robot to revisit a passed region previously passed by the end-effector; and
remove a tissue with the end-effector at a location adjacent to the recorded end-effector position so that the end-effector resurfaces the tissue of the passed region,
wherein the end-effector is operated with first operating conditions while removing the tissue at the recorded end-effector position and second operating conditions while removing the tissue at the location adjacent to the recorded end-effector position to resurface the tissue of the passed region, and
wherein the first operating conditions are different from the second operating conditions in a speed of the end-effector, a direction of motion by the end-effector or an offset in the recorded end-effector position.
2. The system of claim 1 , wherein the pre-defined criteria comprise (i) a maximum deviation; (ii) a mean deviation; or (iii) a threshold deviation.
3. The system of claim 1 , wherein the computing system is further configured to receive user input before the surgical robot is instructed to the passed region previously passed by the end-effector.
4. The system of claim 1 , wherein the computing system is further configured to determine a cumulative deviation between at least a portion of the recorded end-effector position and at least a portion of the planned end-effector position and compare the cumulative deviation to the pre-defined criteria.
5. The system of claim 1 , wherein the pre-defined criteria comprise (i) a maximum cumulative error; (ii) a mean cumulative error; (iii) a threshold error; or (iv) a standard deviation threshold.
6. The system of claim 1 , wherein the computing system is further configured to determine a first cumulative deviation for a recorded end-effector position in a first region and a second cumulative deviation for a recorded end-effector position in a second region and compare the first cumulative deviation and the second cumulative deviation to the pre-defined criteria.
7. The system of claim 6 , wherein the computing system is further configured to instruct the surgical robot to remove a tissue with the end-effector at a location adjacent to the recorded end-effector position in the first region or the second region if the first cumulative deviation or the second cumulative deviation meets or exceeds the pre-defined criteria.
8. The system of claim 7 , wherein the computing system is further configured to receive user input before the surgical robot is instructed to remove the tissue with the end-effector at the location adjacent to the recorded end-effector position in the first region or the second region.
9. A method for resecting tissue with a surgical robot comprising an end-effector, the method comprising:
recording an end-effector position to generate a recorded end-effector position while the end-effector removes a tissue at the recorded end-effector position;
determining a deviation between the recorded end-effector position and a planned end-effector position; and
comparing the deviation against pre-defined criteria,
wherein, when the deviation meets or exceeds the pre-defined criteria, the surgical robot is instructed to revisit a passed region previously passed by the end-effector and to remove a tissue with the end-effector at a location adjacent to the recorded end-effector position so that the end-effector resurfaces the tissue of the passed region,
wherein the end-effector is operated with first operating conditions while removing the tissue at the recorded end-effector position and second operating conditions while removing the tissue at the location adjacent to the recorded end-effector position to resurface the tissue of the passed region, and
wherein the first operating conditions are different from the second operating conditions in a speed of the end-effector, a direction of motion by the end-effector or an offset in the recorded end-effector position.
10. The method of claim 9 , wherein the pre-defined criteria comprises (i) a maximum deviation; (ii) a mean deviation; or (iii) a threshold deviation.
11. The method of claim 9 , further comprising determining a cumulative deviation between at least a portion of the recorded end-effector position and at least a portion of the planned end-effector position and comparing the cumulative deviation to the pre-defined criteria.
12. The method of claim 11 , wherein the pre-defined criteria comprises (i) a maximum cumulative error; (ii) a mean cumulative error; (iii) a threshold error; or (iv) a standard deviation threshold.
13. The method of claim 11 , further comprising:
determining a first cumulative deviation for a recorded end-effector position in a first region and a second cumulative deviation for a recorded end-effector position in a second region and comparing the first cumulative deviation and the second cumulative deviation to the pre-defined criteria.
14. The method of claim 13 , further comprising instructing the surgical robot to remove a tissue with the end-effector at a location adjacent to the recorded end-effector position in the first region or the second region if the first cumulative deviation or the second cumulative deviation meets or exceeds the pre-defined criteria.