Abstract: Robotic systems can be capable of collision detection and avoidance. A robotic medical system can include a robotic arm, an input device configured to receive one or more user inputs for controlling the robotic arm, and a display configured to provide information related to the robotic medical system. The display can include a first icon that is representative of the robotic arm and includes at least a first state and a second state. The robotic medical system can be configured to control movement of the robotic arm based on the user inputs received at the input device in real time, determine a distance between the robotic arm and a component, and provide information to the user about potential, near, and/or actual collisions between the arm and the component.

Abstract: Robotic systems can be capable of collision detection and avoidance. A robotic medical system can include a robotic arm, an input device configured to receive one or more user inputs for controlling the robotic arm, and a display configured to provide information related to the robotic medical system. The display can include a first icon that is representative of the robotic arm and includes at least a first state and a second state. The robotic medical system can be configured to control movement of the robotic arm based on the user inputs received at the input device in real time, determine a distance between the robotic arm and a component, and provide information to the user about potential, near, and/or actual collisions between the arm and the component.

Abstract: The systems and methods disclosed herein are directed to robotically controlling a medical device to utilize manual skills and techniques developed by surgeons. The system can include an emulator representing a medical device. The system can include at least one detector configured to track the emulator. The system can also include an imaging device configured to track the medical device. The system may be configured to move the medical device to reduce an alignment offset between the location of the emulator and the location of the medical device, to move the imaging device based on the translational movement of the emulator, and/or to move the medical device based on data indicative of an orientation of the emulator.

Abstract: Robotic systems can be capable of collision detection and avoidance. A robotic medical system can include a robotic arm, an input device configured to receive one or more user inputs for controlling the robotic arm, and a display configured to provide information related to the robotic medical system. The display can include a first icon that is representative of the robotic arm and includes at least a first state and a second state. The robotic medical system can be configured to control movement of the robotic arm based on the user inputs received at the input device in real time, determine a distance between the robotic arm and a component, and provide information to the user about potential, near, and/or actual collisions between the arm and the component.

Abstract: Certain aspects relate to admittance control modes for a robotic surgery system. The admittance control modes can be based on detecting and/or measuring forces (rotational and/or nonrotational) on a robotic arm and moving the robotic arm in response to such interactions. The forces can include direct manual interaction with the robotic arm by a clinician. The movement of the robotic arm can be within a nullspace that maintains the positions of a medical instrument.

Abstract: The systems and methods disclosed herein are directed to robotically controlling a medical device to utilize manual skills and techniques developed by surgeons. The system can include an emulator representing a medical device. The system can include at least one detector configured to track the emulator. The system can also include an imaging device configured to track the medical device. The system may be configured to move the medical device to reduce an alignment offset between the location of the emulator and the location of the medical device, to move the imaging device based on the translational movement of the emulator, and/or to move the medical device based on data indicative of an orientation of the emulator.

Abstract: The systems and methods disclosed herein are directed to robotically controlling a medical device to utilize manual skills and techniques developed by surgeons. The system may comprise an emulator representing a medical device. The system may comprise at least one detector configured to track the emulator. The system may further comprise an imaging device configured to track the medical device. The system may be configured to move the medical device to reduce an alignment offset between the location of the emulator and the location of the medical device, to move the imaging device based on the translational movement of the emulator, and/or to move the medical device based on data indicative of an orientation of the emulator.

Abstract: The systems and methods disclosed herein are directed to robotically controlling a medical device to utilize manual skills and techniques developed by surgeons. The system may comprise an emulator representing a medical device. The system may comprise at least one detector configured to track the emulator. The system may further comprise an imaging device configured to track the medical device. The system may be configured to move the medical device to reduce an alignment offset between the location of the emulator and the location of the medical device, to move the imaging device based on the translational movement of the emulator, and/or to move the medical device based on data indicative of an orientation of the emulator.