A machining control system includes: a numerical control device controlling a machine tool; and a robot control device communicating with the numerical control device and controlling a robot having a plurality of drive axes. The numerical control device includes: a coordinate position command generation unit generating a coordinate position command specifying a target coordinate position at each time of a leading end part of the robot, based on a machining program; and a communication unit sending the current target coordinate position to the robot control device. The robot control device includes: a target drive position calculation unit calculating a target drive position of each of the plurality of drive axes to position the leading end part at the target coordinate position; and a drive command generation unit generating a drive command to each of the drive axes to position the drive axes at the calculated target drive position.

An intelligent robot cleaner setting a travel path based on a video learning includes a travel driver, a suction unit, an image acquisition unit, and a controller. The travel driver moves to an area to be cleaned along the travel path. The suction unit sucks foreign substances on the travel path. The image acquisition unit acquires an image on the travel path. The controller analyzes the image, decides whether an object is present on the travel path, classifies a type of the object, and sets a bypass travel path that avoids the object if the object is an avoidance object.

A robot programming system according to an aspect of the present disclosure includes: a robot program storage section; a press program storage section; a template program setting section that causes the robot program storage section to store, as an initial version of a robot program, a template program that instructs a robot how to move basically; a model placing section that places three-dimensional models of a workpiece, the robot, and a press machine in a virtual space; a robot movement processing section that causes the three-dimensional model of the robot to move; a press movement processing section that causes the three-dimensional model of the press machine to move; an interference detection section that detects interference between the three-dimensional models; and a robot program modification section that modifies a robot program stored in the robot program storage section to prevent interference detected by the interference detection section.

An object manipulation apparatus according to an embodiment of the present disclosure includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: calculate, based on an image in which one or more objects to be grasped are contained, an evaluation value of a first behavior manner of grasping the one or more objects; generate information representing a second behavior manner based on the image and a plurality of evaluation values of the first behavior manner; and control actuation of grasping the object to be grasped in accordance with the information being generated.

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.

A robot controller includes an all-axes control part collectively calculating position command values for a plurality of axes based on a predetermined trajectory of the robot, and motor drive control parts for each axis. The motor drive control part includes a stopping position command calculation part which calculates a stopping position command value for each axis with a motor coordinate system as a reference. The motor drive control part switches the position command value transmitted from the all-axes control part to the stopping position command value for each axis when an emergency stop signal is inputted and, after that, returns from the stopping position command value for each axis to the position command value transmitted from the all-axes control part. The all-axes control part starts calculation for outputting an emergency stop position command value for stopping the robot on the predetermined trajectory when the emergency stop signal is inputted.

A system and method for determining a misdetection of an object and subsequent response is disclosed. A robotic system may use a motion plan, which is derived based on an initial detection result of a package, to transfer the package from a start location to a task location. During implementation of the motion plan, the robotic system may obtain additional sensor data, which can be used to deviate from the initial motion plan and implement a replacement motion plan to transfer the package to the task location.

Provided are methods and apparatus for environment-adaptive robotic disinfecting. In an example, provided is a method that can include (i) creating, from digital images, a map of a structure; (ii) identifying a location of a robot in the structure; (iii) segmenting, using a machine learning-based classifying algorithm trained based on object affordance information, the digital images to identify potentially contaminated surfaces within the structure; (iv) creating a map of potentially contaminated surfaces within the structure; (v) calculating a trajectory of movement of the robot to move the robot to a location of a potentially contaminated surface in the potentially contaminated surfaces; and (vi) moving the robot along the trajectory of movement to position a directional decontaminant source adjacent to the potentially contaminated surface. Other methods, systems, and computer-readable media are also disclosed.

A tracking system is disclosed utilizing one or more dynamic vision sensors (e.g., an event camera) configured to generate luminance-transition events associated with a target object, a depth estimation unit configured to generate based on the luminance-transition events depth data/signals indicative of a distance of the target object from the event camera, a spatial tracking unit configured to generate based on the luminance-transition events spatial tracking signals/data indicative of transitions of the target object in a scene of the target object, and an error correction unit configured to process the depth and spatial tracking data/signals and generate error correcting data/signals for the tracking of the target object by the one or more dynamic vision sensors.

A pick and place method and apparatus thereof are provided. The pick and place method includes: providing at least one semiconductor element disposed on a source storage location; picking up the at least one semiconductor element from the source storage location; transferring the at least one semiconductor element to a temporary storage device according to a signal; positioning the at least one semiconductor element through the temporary storage device; and picking up the positioned semiconductor element from the temporary storage device and placing the positioned semiconductor element on a destination storage location.