In one aspect, there is provided a computer-implemented method that includes receiving a request to generate workcell data representing physical dimensions of a workcell having a physical robot arm, executing a calibration program that causes the physical robot arm to move within the workcell and record locations within the workcell at which the robot arm made contact with an object, generating, from the locations within the workcell at which one or more sensors of the robot arm recorded a resistance above a threshold, a representation of physical boundaries in the workcell, obtaining an initial virtual representation of the workcell, and updating the initial virtual representation of the workcell according to the representation of physical boundaries generated from executing the calibration program.

A method for controlling a robot includes applying a setpoint force to a contact point; measuring a contact stiffness at the contact point; and slowing down the moving robot using its drives and/or braking the robot to apply the setpoint force to the contact point by the slowing down and/or slowed down robot depending on the measured contact stiffness, wherein the robot is slowed down before the setpoint force is reached.

A method for controlling a robot includes applying a setpoint force to a contact point; measuring a contact stiffness at the contact point; and slowing down the moving robot using its drives and/or braking the robot to apply the setpoint force to the contact point by the slowing down and/or slowed down robot depending on the measured contact stiffness, wherein the robot is slowed down before the setpoint force is reached.

A method for controlling a robot includes applying a setpoint force to a contact point; measuring a contact stiffness at the contact point; and slowing down the moving robot using its drives and/or braking the robot to apply the setpoint force to the contact point by the slowing down and/or slowed down robot depending on the measured contact stiffness, wherein the robot is slowed down before the setpoint force is reached.

A method for force or torque sensing in an electromechanical actuator-driven robot comprising one or more links, one or more joints, an end effector and a controller is provided, the method comprising: estimating a first set of load torques in one or more joints in a given configuration of the robot without external force or load applied to the end effector; identifying gravitational and frictional components in the first set of load torques; estimating a second set of load torques in the one or more joints in the given configuration of the robot with an external force or load applied to the end effector; calculating a difference between the second set of load torques and the first set of load torques, taking into account the identified gravitational and frictional components; calculating an external force or torque acting on the end effector based on the difference between the second set of load torques and the first set of load torques using a Jacobian matrix for the given configuration of the robot; and presenting the external force or torque in a Cartesian space. An apparatus for force or torque sensing in an electromechanical actuator-driven robot, the apparatus comprising at least one processor programmed to perform said method, a computer program which, when executed by at least one processor, causes the at least one processor to perform force or torque sensing in an electromechanical actuator-driven robot according to said method, and a non-transitory storage medium for storing said program are also provided. The technical result consists in improved precision of force or torque sensing on an end effector of an electromechanical actuator-driven robot in a manner which does not require using expensive force/torque sensors in robot joints.

A method of footstep contact detection includes receiving joint dynamics data for a swing phase of a swing leg of the robot, receiving odometry data indicative of a pose of the robot, determining whether an impact on the swing leg is indicative of a touchdown of the swing leg based on the joint dynamics data and an amount of completion of the swing phase, and determining when the impact on the swing leg is not indicative of the touchdown of the swing leg, a cause of the impact based on the joint dynamics data and the odometry data.

A method of footstep contact detection includes receiving joint dynamics for a swing leg of the robot where the swing leg performs a swing phase of a gait of the robot. The method also includes receiving odometry defining an estimation of a pose of the robot and determining whether an unexpected torque on the swing leg corresponds to an impact on the swing leg. When the unexpected torque corresponds to the impact, the method further includes determining whether the impact is indicative of a touchdown of the swing leg on a ground surface based on the odometry and the joint dynamics. When the impact is not indicative of the touchdown of the swing leg, the method includes classifying a cause of the impact based on the odometry of the robot and the joint dynamics of the swing leg.

A method for controlling a robot includes applying a setpoint force to a contact point; measuring a contact stiffness at the contact point; and slowing down the moving robot using its drives and/or braking the robot to apply the setpoint force to the contact point by the slowing down and/or slowed down robot depending on the measured contact stiffness, wherein the robot is slowed down before the setpoint force is reached.

A method of footstep contact detection includes receiving joint dynamics for a swing leg of the robot where the swing leg performs a swing phase of a gait of the robot. The method also includes receiving odometry defining an estimation of a pose of the robot and determining whether an unexpected torque on the swing leg corresponds to an impact on the swing leg. When the unexpected torque corresponds to the impact, the method further includes determining whether the impact is indicative of a touchdown of the swing leg on a ground surface based on the odometry and the joint dynamics. When the impact is not indicative of the touchdown of the swing leg, the method includes classifying a cause of the impact based on the odometry of the robot and the joint dynamics of the swing leg.

During an operation of a mobile robot 1, observed values of a plurality of reference parameters including at least one of contact reaction forces) of one or more movable links 3, 4 and a contact reaction force function value expressed as a function value of contact reaction force(s) of one or more movable links 3, 4 are acquired based on outputs from force detectors 31 mounted on the respective movable links 3, 4 of the mobile robot 1, and the observed values of the reference parameters are used to detect presence or absence of occurrence of abnormal contact of the mobile robot 1 by a contact detecting model Ai.