Abstract: Movement of an object can occur while a control system corrects for compliance within a robotic system. The control system can include the object to be moved, the robotic system that moves the object, a primary sensor positioned on the object, at least one ancillary sensor positioned on the object, and a controller. The sensors can record position and orientation data at different points on the object. The controller can use a sensor data and a delta value to correct for compliance in the robotic system. The delta value can be based on the differences between the primary sensor and the at least one ancillary sensor. The compliance correction can be applied to poses of the object to modify the trajectory of the object for more accurate movements.

Abstract: Described herein is the automatic re-registration of a bumped reference marker, where the navigation system includes the reference marker, a bump detection sensor(s), and a computing device. The computing device can store positional relationships between the reference marker, the bump detection sensor(s), and the anatomy from an initial image registration and receive position data of the reference marker and bump detection sensor(s) at times during use. The computing device can determine a delta matrix based on the stored and received information and then determine if the reference marker has been bumped. If the reference marker has been bumped the computing device can determine if automatic re-registration is required and complete the automatic re-registration if needed to correct for the bump.

Abstract: Movement of an object can occur while a control system corrects for compliance within a robotic system. The control system can include the object to be moved, the robotic system that moves the object, a primary sensor positioned on the object, at least one ancillary sensor positioned on the object, and a controller. The sensors can record position and orientation data at different points on the object. The controller can use a sensor data and a delta value to correct for compliance in the robotic system. The delta value can be based on the differences between the primary sensor and the at least one ancillary sensor. The compliance correction can be applied to poses of the object to modify the trajectory of the object for more accurate movements.

Abstract: An object can be moved via a robotic system with a combination of force and position control. The control system can include the object to be moved, the robotic system that moves the object, at least one force sensor, at least one position sensor, and a controller. A position control output, a force control output, and a hybrid weighting value can each be determined by the controller based on sensor data and then combined to determine an amount of position control and/or force control to be applied to move the object and/or modify an object in motion's trajectory.

Abstract: Movement of an object can occur while a control system corrects for compliance within a robotic system. The control system can include the object to be moved, the robotic system that moves the object, a primary sensor positioned on the object, at least one ancillary sensor positioned on the object, and a controller. The sensors can record position and orientation data at different points on the object. The controller can use a sensor data and a delta value to correct for compliance in the robotic system. The delta value can be based on the differences between the primary sensor and the at least one ancillary sensor. The compliance correction can be applied to poses of the object to modify the trajectory of the object for more accurate movements.

Abstract: Described herein is the automatic re-registration of a bumped reference marker, where the navigation system includes the reference marker, a bump detection sensor(s), and a computing device. The computing device can store positional relationships between the reference marker, the bump detection sensor(s), and the anatomy from an initial image registration and receive position data of the reference marker and bump detection sensor(s) at times during use. The computing device can determine a delta matrix based on the stored and received information and then determine if the reference marker has been bumped. If the reference marker has been bumped the computing device can determine if automatic re-registration is required and complete the automatic re-registration if needed to correct for the bump.

Abstract: An object can be moved via a robotic system with a combination of force and position control. The control system can include the object to be moved, the robotic system that moves the object, at least one force sensor, at least one position sensor, and a controller. A position control output, a force control output, and a hybrid weighting value can each be determined by the controller based on sensor data and then combined to determine an amount of position control and/or force control to be applied to move the object and/or modify an object in motion's trajectory.

Abstract: Teleoperative, partially automated, and fully automated robotic surgery systems and methods are described herein. These systems and methods relate to at least improvement of robotic movements, three dimensional tracking and pose correction for robots interacting with deformable objections, controlling and optimizing the redundant axis of a seven degree of freedom robotic arm, virtual robotic surgery and simulation, and task coordination and optimization for multi-robot surgery.

Abstract: Teleoperative, partially automated, and fully automated robotic surgery systems and methods are described herein. These systems and methods relate to at least improvement of robotic movements, three dimensional tracking and pose correction for robots interacting with deformable objections, controlling and optimizing the redundant axis of a seven degree of freedom robotic arm, virtual robotic surgery and simulation, and task coordination and optimization for multi-robot surgery.

Abstract: Teleoperative, partially automated, and fully automated robotic surgery systems and methods are described herein. These systems and methods relate to at least improvement of robotic movements, three dimensional tracking and pose correction for robots interacting with deformable objections, controlling and optimizing the redundant axis of a seven degree of freedom robotic arm, virtual robotic surgery and simulation, and task coordination and optimization for multi-robot surgery.

Abstract: Teleoperative, partially automated, and fully automated robotic surgery systems and methods are described herein. These systems and methods relate to at least improvement of robotic movements, three dimensional tracking and pose correction for robots interacting with deformable objections, controlling and optimizing the redundant axis of a seven degree of freedom robotic arm, virtual robotic surgery and simulation, and task coordination and optimization for multi-robot surgery.

Abstract: Movement of an object can occur while a control system corrects for compliance within a robotic system. The control system can include the object to be moved, the robotic system that moves the object, a primary sensor positioned on the object, at least one ancillary sensor positioned on the object, and a controller. The sensors can record position and orientation data at different points on the object. The controller can use a sensor data and a delta value to correct for compliance in the robotic system. The delta value can be based on the differences between the primary sensor and the at least one ancillary sensor. The compliance correction can be applied to poses of the object to modify the trajectory of the object for more accurate movements.

Abstract: An object can be moved via a robotic system with a combination of force and position control. The control system can include the object to be moved, the robotic system that moves the object, at least one force sensor, at least one position sensor, and a controller. A position control output, a force control output, and a hybrid weighting value can each be determined by the controller based on sensor data and then combined to determine an amount of position control and/or force control to be applied to move the object and/or modify an object in motion's trajectory.