Systems and methods for operating a robotic surgical system are provided. The system includes a surgical tool, a manipulator comprising links for controlling the tool, a navigation system includes a tracker and a localizer to monitor a state of the tracker. Controller(s) determine a relationship between one or more components of the manipulator and one or more components of the navigation system by utilizing kinematic measurement data from the manipulator and navigation data from the navigation system. The controller(s) utilize the relationship to determine whether an error has occurred relating to at least one of the manipulator and the navigation system. The error is at least one of undesired movement of the manipulator, undesired movement of the localizer, failure of any one or more components of the manipulator or the localizer, and/or improper calibration data.

The present disclosure relates to a position detection apparatus and a position detection method of a distribution object, a robot, a distribution apparatus, and a controller, and relates to the field of robots. The apparatus includes: a plurality of ranging sensors arranged on an end surface of a protrusion member of a robot facing a placement region of the distribution object, wherein the protrusion member is located on a chassis of the robot and each of the plurality of ranging sensors is configured to detect a distance between the ranging sensor and an end surface of the distribution object facing the plurality of ranging sensors; and a controller configured to determine that the distribution object has been located at a predetermined position above the chassis in a case where the distance detected by each of the plurality of ranging sensors is not greater than a first distance threshold.

An autonomous companion mobile robot and system may complement the intelligence possessed by a user with machine learned intelligence to make a user's life more fulfilling. The robot and system includes a mobile robotic device and a mobile robotic docking station. Either or both of the mobile robotic device and the mobile robotic docking station may operate independently, as well as operating together as a team, as a system. The mobile robotic device may have an external form of a three-dimensional shape, a humanoid, a present or historical person, some fictional character, or some animal. The mobile robotic device and/or the mobile robotic docking station may each include a fog Internet of Things (IoT) gateway processor and a plurality of sensors and input/output devices. The autonomous companion mobile robot and system may collect data from and observe its users and offer suggestions, perform tasks, and present information to its users.

A robot control method includes: obtaining force information associated with feet of the robot; calculating a zero moment point of a COM of a body of the robot based on the force information; updating a position trajectory of the robot according to the zero moment point of the COM of the body to obtain an updated position of the COM of the body; obtaining posture information of the robot; updating a posture trajectory of the robot according to the posture information to obtain an updated pose angle; performing inverse kinematics analysis on the updated position of the COM of the body and the updated pose angle to obtain joint angles of legs of the robot; and controlling the robot to move according to the joint angles.

A pattern matching unit carries out a pattern matching between a photographed image obtained by photographing a workpiece with a monocular camera and a first plurality of models having a plurality of sizes and a plurality of angles, and selects a model having a size and an angle with the highest degree of matching. A primary detection unit detects a position and an angle of an uppermost workpiece based on the selected model. An actual load height calculation unit calculates an actual load height of the uppermost workpiece based on a hand height. A secondary detection unit re-detects the position and the angle of the uppermost workpiece based on a model having a size and an angle with the highest degree of matching selected by carrying out a pattern matching between the photographed image and a second plurality of models selected or newly created based on the actual load height.

An omni-bearing intelligent nursing system and method for a high-infectious isolation ward, including: a nursing robot, including a robot body and a controller; a plurality of collectors, arranged in the isolation ward and used for detecting the physiological index of the user and transmitting the physiological index to a remote control system; a communication network, in a star topology structure and including a plurality of communication modules, and configured to realize the communication of each the nursing robot, the collector and the remote control system; and the remote control system, receiving the information of the collector, performing feature extraction on the collect multi-element physiological signals, combining the basic information of the user, perform learning by a decision tree model, dynamically adjusting the corresponding nursing level, and sending an instruction to the corresponding nursing robot.

A method includes moving a locating feature associated with a robotic arm of the robotic system along a selected defined path to a detected position, where the detected position is a position of the locating feature when a force feedback condition is satisfied. The method includes calculating a positional offset of the robotic arm based on a nominal position and the detected position of the robotic arm. The method includes performing, by the robotic system, one or more operations at the manufacturing station using the positional offset.

A sensing manipulator of an articulated arm is disclosed. The sensing manipulator includes a compliant section and a movement detection system provided along a first direction of the compliant section such that movement of the compliant section along both the first direction and at least one direction transverse to said first direction, are detectable by the movement detection system.

A robotic surgical system includes a controller, a surgical instrument supporting an end effector, and one or more connector members coupled to the end effector and movable to operate the end effector. Memory is operably coupled to the controller and is configured to maintain reference data of the one or more connector members. A sensor is secured to the one or more connector members and is disposed in electrical communication with the controller. The sensor is configured to register real-time data of the one or more connector members and communicate the real-time data to the controller. The controller is configured to compare the real-time data to the reference data and provide an output signal in response to a comparison of the real-time data to the reference data. A pair of connector members may be coupled to the end effector to impart three outputs.

A mobile robot includes a body movable over a surface within an environment, a calibration coil carried on the body and configured to produce a calibration magnetic field, a sensor circuit carried on the body and responsive to the calibration magnetic field, and a controller carried on the body and in communication with the sensor circuit. The sensor circuit is configured to generate calibration signals based on the calibration magnetic field. The controller is configured to calibrate the sensor circuit as a function of the calibration signals, thereby resulting in a calibrated sensor circuit configured to detect a transmitter magnetic field within the environment and to generate detection signals based on the transmitter magnetic field. The controller is configured to estimate a pose of the mobile robot as a function of the detection signals.