An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

Example methods and devices for touch-down detection for a robotic device are described herein. In an example embodiment, a computing system may receive a force signal due to a force experienced at a limb of a robotic device. The system may receive an output signal from a sensor of the end component of the limb. Responsive to the received signals, the system may determine whether the force signal satisfies a first threshold and determine whether the output signal satisfies a second threshold. Based on at least one of the force signal satisfying the first threshold or the output signal satisfying the second threshold, the system of the robotic device may provide a touch-down output indicating touch-down of the end component of the limb with a portion of an environment.

An end effector includes a pair of machining tools. The pair of machining tools is separated by an interval in one direction perpendicular to a tool rotational axis and rotatable around the tool rotational axis. The pair of machining tools is position-controlled, and is force-controlled in a machining direction perpendicular to the one direction and an axial direction of the tool rotational axis, and is torque-controlled around the tool rotational axis.

A manipulator system configured to perform a work to a workpiece being moved by a moving device, includes a robotic arm, having one or more joints and to which a tool configured to perform the work to the workpiece is attached, an operating device configured to operate the robotic arm, a first imaging means configured to image the workpiece, while following the movement of the workpiece, a second imaging means fixedly provided in a work area to image a situation of the work to the workpiece, a displaying means configured to display an image imaged by the first imaging means and an image imaged by the second imaging means, and a control device configured to control the operation of the robotic arm based on an operating instruction of the operating device, while detecting a moving amount of the workpiece being moved by the moving device and carrying out a tracking control of the robotic arm according to the moving amount of the workpiece.

Example methods and devices for touch-down detection for a robotic device are described herein. In an example embodiment, a computing system may receive a force signal due to a force experienced at a limb of a robotic device. The system may receive an output signal from a sensor of the end component of the limb. Responsive to the received signals, the system may determine whether the force signal satisfies a first threshold and determine whether the output signal satisfies a second threshold. Based on at least one of the force signal satisfying the first threshold or the output signal satisfying the second threshold, the system of the robotic device may provide a touch-down output indicating touch-down of the end component of the limb with a portion of an environment.

An apparatus such as a robot capable of performing goal oriented tasks may include one or more touch sensors to receive touch perception feedback on the location of objects and structures within an environment. A fusion engine may be configured to combine touch perception data with other types of sensor data such as data received from an image or distance sensor. The apparatus may combine distance sensor data with touch sensor data using inference models such as Bayesian inference. The touch sensor may be mounted onto an adjustable arm of a robot. The apparatus may use the data it has received from both a touch sensor and distance sensor to build a map of its environment and perform goal oriented tasks such as cleaning or moving objects.

A robot includes a robot body, a control processor, a detection circuit, a memory, and a determining circuit. The control processor is configured to control the robot body to perform a work on a workpiece while the workpiece is conveyed. The detection circuit is configured to detect external force which the robot body receives from the workpiece. The memory is to store a threshold force. The determining circuit is configured to determine whether the external force is equal to or larger than the threshold force.

A robot system including a master device configured to receive a manipulating instruction from an operator and transmit the received manipulating instruction as a manipulating input signal, a plurality of slave robots configured to operate according to the manipulating input signal transmitted from the master device, a management control device configured to manage operations of the plurality of slave robots, respectively, and an output device configured to output information transmitted from the management control device. The management control device determines a priority of transmitting the manipulating input signal from the master device to the slave robot among the plurality of slave robots that are in a standby state of the manipulating input signal, and transmits information related to the determined priority to the output device. Thus, the operator is able to efficiently transmit the manipulating input signal to the plurality of slave robots through the master device.

Plurality of robot main bodies a remote control device including contactless action detecting part configured to detect contactless action including at least one given operation instructing action by operator, and control device communicably connected to remote control device and configured to control operations of plurality of robot main bodies, are provided. Control device includes memory part configured to store operational instruction content data defining operation mode of robot main body corresponding to the at least one operation instructing action, operational instruction content identifying module configured to identify operation mode of robot main body corresponding to one of operation instructing action detected by contactless action detecting part based on operational instruction content data, and motion controlling module configured to control operation of at least one given robot main body among plurality of robot main bodies based on operation mode identified by operational instruction content identifying module.

A robot system which is capable of reducing an operator's workload and easily correcting preset operation of a robot. The robot system includes a robot main body having a plurality of joints, a control device configured to control operation of the robot main body and an operating device including a teaching device configured to teach the control device one of positional information on the robot main body and angular information on the plurality of joints so as to execute an automatic operation of the robot main body and a manipulator configured to receive a manipulating instruction from an operator to manually operate the robot main body or correct the operation of the robot main body under the automatic operation.