The present disclosure relates to a method for generating a novel impedance configuration for a three-degree-of-freedom (3DOF) leg of a hydraulically-driven legged robot. The method includes: separately determining variations of input signals of an inner position-based control loop and an inner force-based control loop of a hydraulic drive unit of each joint based on an obtained mathematical model; generating a novel impedance configuration in which position-based control is performed on a hydraulic drive unit of a hip joint, and force-based control is performed on hydraulic drive units of a knee joint and an ankle joint in a hydraulic drive system of the leg of a to-be-controlled robot; and performing forward calculation by using the leg mathematical model, to obtain an actual position and a force variation of the foot of the leg of the to-be-controlled robot to control motion of the foot of the to-be-controlled robot within motion space.

A robotic kitting machine is disclosed. In various embodiments, a robotic arm is used to move an item to a location in proximity to a slot into which the item is to be inserted. Force information generated by a force sensor is received via a communication interface. The force sensor information is used to align a structure comprising the item with a corresponding cavity comprising the slot, and the item is inserted into the slot.

The present process of controlling an industrial robot includes steps consisting of calculating, in the modules implemented by the central unit, a time-dependent composite setpoint defining articular forces and velocities, according to a target trajectory and to an operating mode; calculating, in modules implemented by the central unit, a behavior matrix which describes a desired behavior of the robot arm, defining directions along which the calculated composite setpoint is to be applied; calculating, in a module implemented by the in auxiliary unit, an articular force setpoint for controlling the axis controller module; and calculating, in the axis controller module implemented by the auxiliary unit, the control setpoints for the power units according to the articular force setpoint.

A process of controlling an industrial robot includes the steps of calculating, in a calculation module, a control articular force setpoint of the axis controller module; calculating, in an articular converter, the articular conversion matrix from articular positions; providing the axis controller module with the multi-dimensional external forces exerted on the effector; calculating, in the axis controller module, the vector of the articular forces; calculating, in the axis controller module, the current loop control setpoints, taking into account the articular force vector and the articular force setpoint; and calculating, in the axis controller module, the control setpoints for the power units according to the control setpoints for the current loops.

The present process of controlling an industrial robot includes steps consisting of calculating a time-dependent composite setpoint defining articular forces and/or velocities, according to a target trajectory and to an operating mode; calculating (S106) a behavior matrix which describes a desired behavior of the robot arm, defining directions along which the calculated composite setpoint is to be applied; calculating (S108) an articular force setpoint for controlling the axis controller module and calculating the time derivative of a homogeneous internal state at an articular position. The articular force setpoint for controlling the axis controller module is calculated from a control function which adjusts the difference between the articular position and the internal state determined by integrating said time derivative of the internal state.

A method and system for preventing a collision between mechanical arms (21), and a medical robot, belonging to the field of medical robot technology. The method includes: arranging (S10) discrete points (m, n) at a mechanical arm (21); acquiring (S40) an interaction force (F.sub.m,n) corresponding to each discrete point (m, n) according to a calculated relative distance (L) between the discrete points (m, n) respectively on different mechanical arms (21), to obtain (S50) a resultant force of the interaction forces (F.sub.m,n) each of which corresponds to each discrete point (m, n), and then obtaining a Cartesian force (F.sub.d) corresponding to each mechanical arm (21), and making (S60) an operator perceive the Cartesian force (F.sub.d) in real time, thereby effectively reducing the risk of interference and collision between the mechanical arms (21).

Telerobotic, telesurgical, and/or surgical robotic devices, systems, and methods employ surgical robotic linkages that may have more degrees of freedom than an associated surgical end effector in space. A processor can calculate a tool motion that includes pivoting of the tool about an aperture site. Linkages movable along a range of configurations for a given end effector position may be driven toward configurations which inhibit collisions. Refined robotic linkages and methods for their use are also provided.

A robot control apparatus includes a processor that is configured to: receive first position information representing a first position in which a first operation including force control to be performed based on magnitude of a force detected by a force detector should be executed; determine an initial value of one of a mass coefficient and a viscosity coefficient that should be used in the force control of the first operation based on specific information on a configuration of a robot stored in a memory unit and the first position information; and store the initial value in the memory.

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.

According to one embodiment, a robot motion planning device includes processing circuitry. The processing circuitry receives observation information obtained by observing at least part of a movable range of a robot. The processing circuitry determines, in a case where first observation information is received, a target position to which the robot is to make a motion, using an action-value function and the first observation information. The processing circuitry receives measurement information obtained by measuring a state of the robot, calculates a difference corresponding to the first observation information, using the measurement information, and determines a motion plan of a force-controlled motion of the robot, based on the target position and the difference.