A robot system includes a robot configured to operate in cooperation with a person, a specifying section configured to specify a person present in a region at a predetermined distance from the robot, and a control section configured to decelerate or stop the operation of the robot when the presence of the person in the region is specified by the specifying section. The control section changes the distance based on a result of specifying the person by the specifying section.

There is provided a detection apparatus including a housing that includes a working surface, and a sensor configured to detect the force or the moment exerted on the working surface, on at least a first detection axis and a second detection axis. The working surface coincides with a surface that includes the first detection axis and the second detection axis, the working surface being at least partially symmetrical around the first detection axis passing through the center of the sensor.

A leg mechanism of a humanoid robot includes: an upper leg, a lower leg rotatably coupled to the upper leg, a knee module actuator mounted to the upper leg, a foot rotatably connected to the lower leg, a knee transmission mechanism connected to the knee module actuator and the lower leg and configured to transmit rotary motion from the knee module actuator to the lower leg, at least one ankle module actuator mounted to the upper leg, at least one ankle transmission mechanism connected to the at least one ankle module actuator and the foot and configured to transmit rotary motion from the at least one ankle module actuator to the foot.

A collaborative device includes: a robotic arm including at least one motor; a tool secured to a free end of the robotic arm; a computer unit connected to the robotic arm to transmit instructions for controlling the robotic arm; and a joint having a flexible connection. The device integrates at least one sensor parameterised to detect forces exerted on the flexible connection. The computer unit is configured to: receive data from the sensor; translate the data into torques applied at the motor(s) of the robotic arm; generate instructions for attenuating the applied torques; and control the motor(s) of the robotic arm with the attenuation instructions.

The disclosure provides a dynamic interaction-oriented subject's limb time-varying stiffness identification method and device. The method includes: the combination of subject's limb displacement and measured force data or the combination of angle and measured torque data is collected; based on the time-varying dynamic system constructed based on a second-order impedance model, the linear parameter varying method is utilized to substitute the time-varying impedance parameters and reconstruct the restoring force/torque expression; iterative identification is performed on variable weights, dynamic interaction force/torque, and restoring force/torque by using time-varying dynamic parameters based on the dynamic interaction force/torque expression expanded from basis function; the time-varying stiffness is solved by using variable weights and dynamic interaction force/torque according to expression with substituted the time-varying impedance parameters. The disclosure not only improves the accuracy of the time-varying stiffness identification technology but also expands the application scenarios of the time-varying stiffness identification technology.

A joint actuator of a robot including a driving device, a driving shaft, a reducer, a torsion sensor, and a dual encoder is provided. The driving shaft is connected to the driving device. The driving device is configured to drive the driving shaft to rotate. The reducer includes a motive power input component and a motive power output component. The motive power input component and the motive power output component are sleeved on the driving shaft. The motive power input component is disposed between the driving shaft and the motive power output component. The torsion sensor is connected to the motive power output component of the reducer. The dual encoder is connected to the driving device and the driving shaft. The driving device is located between the dual encoder and the reducer.

A vacuum cup damage detection system detects vacuum cup damage or absence in a robot singulator including a vacuum-based end effector with one or more vacuum cups. The system generally comprises a plate and a control subsystem. The plate provides a potential point of engagement for the one or more vacuum cups of the vacuum-based end effector when the robot singulator is moved to a predetermined position in which, if present, at least one of the one or more vacuum cups of the vacuum-based end effector is in contact with the plate. The control subsystem includes: one or more sensors configured to obtain readings indicative of the engagement of the one or more vacuum cups with the plate or lack thereof; and a controller configured to determine whether any one of the vacuum cups is damaged or missing based on the readings obtained by the one or more sensors.

Aspects of the disclosure include a torque sensor arrangement configured to attach between a first part and a second part to sense torque therebetween, the torque sensor arrangement comprising an interface member having on its exterior an engagement configuration configured to rotationally engage the first part, a torsion member comprising a deflectable body attached at one end thereof to the interface member and comprising, at the other end of the deflectable body, an engagement configuration configured to fixedly engage the second part, and a deflection sensor attached to the deflectable body, wherein the interface member defines a rigid sleeve extending around the deflectable body and the torque sensor arrangement further comprises a bushing located between and in contact with both the sleeve and the deflectable body.

A robot teleoperation control device includes a first acquisition unit that acquires operator state information of a state of an operator who operates a robot, an intention estimation unit that estimates an intention of the operator to cause the robot to perform a motion on the basis of the operator state information, a second acquisition unit that acquires at least one of geometric information and dynamic information of the object, an operation method determination unit that determines a method of operating the object based on the estimated motion intention of the operator, and a control amount determination unit that determines a method of operating the robot and force during operation from the information acquired by the second acquisition unit and information determined by the operation method determination unit and reflects the result in a control instruction.

A method includes grasping a user input device in communication with a surgical tool of a robotic surgical system, the surgical tool including an end effector with opposing jaws, squeezing the user input device and thereby actuating a motor that closes the jaws and clamps down on tissue at a surgical site, and calculating with a computer system in communication with the surgical tool work completed by the motor to close the jaws and clamp down on the tissue. The computer system generates one or more effort indicators when the work completed by the motor meets or exceeds one or more predetermined work increments corresponding to operation of the motor, and communicates the one or more effort indicators to an operator.