G05B2219/39212

Automatic motion control of a dependent surgical robotic arm
12396811 · 2025-08-26 · ·

A motion dependency surgical robotic system (100) employs an independent robotic arm (20), a dependent robotic arm (21), and a motion dependency robot controller (104). In operation, the motion dependency robot controller (104) controls an independent motion of the independent robotic arm (20) within a coordinate space responsive to an input signal indicative of the motion of the independent robotic arm (20) within the coordinate space, and further controls a motion of the dependent robotic arm (21) within the coordinate space as a function of a spatial geometric relationship between the independent robotic arm (20) and the dependent robotic arm (21) within the coordinate space.

Robotics control and sensing system and method
12397443 · 2025-08-26 · ·

Computing platforms, methods, and storage media for sensing and controlling with respect to a robot. A robot control and sensor system may include a pressure sensor configured to be mounted on a robot, and/or mounted on a robot peripheral, to measure a sensed pressure value at the robot. The pressure sensor operates with respect to first and second pressure thresholds. A controller is in communication with the pressure sensor and may be configured to: obtain, from the pressure sensor, a sensed pressure value relating to pressure applied to the robot at the pressure sensor; generate a soft reset notification to cause the robot to enter a soft reset mode when the sensed pressure value is above the first pressure threshold; and generate a hard reset notification to cause the robot to enter a hard reset mode when the sensed pressure value is above the second pressure threshold.

Autonomous robot with on demand teleoperation
12455568 · 2025-10-28 · ·

A robot is operated in an autonomous mode of operation to perform a plurality of tasks. It is determined that a later task of the plurality of tasks needs human assistance while performing a current task of the plurality of tasks. The human assistance is scheduled for the later task. A teleoperator is communicated with to perform the human assistance associated with the later task.

ROBOTICS CONTROL AND SENSING SYSTEM AND METHOD
20250353188 · 2025-11-20 ·

Computing platforms, methods, and storage media for sensing and controlling with respect to a robot. A robot control and sensor system may include a pressure sensor configured to be mounted on a robot, and/or mounted on a robot peripheral, to measure a sensed pressure value at the robot. The pressure sensor operates with respect to first and second pressure thresholds. A controller is in communication with the pressure sensor and may be configured to: obtain, from the pressure sensor, a sensed pressure value relating to pressure applied to the robot at the pressure sensor; generate a soft reset notification to cause the robot to enter a soft reset mode when the sensed pressure value is above the first pressure threshold; and generate a hard reset notification to cause the robot to enter a hard reset mode when the sensed pressure value is above the second pressure threshold.

Continual proactive learning for autonomous robot agents

A robot agent (102) includes an electro-mechanical subsystem (202), a sensor subsystem (204) having one or more sensors, and a computer hardware subsystem (206) to execute one or more sets of executable instructions (212, 214, 216, 218, 220). The one or more sets of executable instructions manipulate the robot agent to predict an action to be implemented by the robot agent in performing a task (112) and predict whether the robot agent will fail in performing the action. The one or more sets of executable instructions further manipulate the robot agent to, responsive to predicting the robot agent will fail in performing the action, obtain guidance input (116) for the first action from at least one guidance source, the guidance input representing guidance for performing the action by the robot agent, and manipulate the electro-mechanical subsystem to perform the action using the guidance input.

CONTINUAL PROACTIVE LEARNING FOR AUTONOMOUS ROBOT AGENTS
20260103368 · 2026-04-16 ·

A robot agent (102) includes an electro-mechanical subsystem (202), a sensor subsystem (204) having one or more sensors, and a computer hardware subsystem (206) to execute one or more sets of executable instructions (212, 214, 216, 218, 220). The one or more sets of executable instructions manipulate the robot agent to predict an action to be implemented by the robot agent in performing a task (112) and predict whether the robot agent will fail in performing the action. The one or more sets of executable instructions further manipulate the robot agent to, responsive to predicting the robot agent will fail in performing the action, obtain guidance input (116) for the first action from at least one guidance source, the guidance input representing guidance for performing the action by the robot agent, and manipulate the electro-mechanical subsystem to perform the action using the guidance input.