Solutions for multi-robot configurations are co-optimized, to at least some degree, across a set of non-homogenous parameters based on a given set of tasks to be performed by robots in a multi-robot operational environment. Non-homogenous parameters may include two or more of: the respective base position and orientation of the robots, an allocation of tasks to respective robots, respective target sequences and/or trajectories for the robots. Such may be executed pre-runtime. Output may include for each robot: workcell layout, an ordered list or vector of targets, optionally dwell time durations at respective targets, and paths or trajectories between each pair of consecutive targets. Output may provide a complete, executable, solution to the problem, which in the absence of variability in timing, can be used to control the robots without any modification. A genetic algorithm, e.g., Differential Evolution, may optionally be used in generating a population of candidate solutions.

The present disclosure provides an Industrial Internet of Things system for monitoring a collaborative robot with dual identification and a control method thereof. The Industrial Internet of Things includes a user platform, a service platform, a management platform and a sensing network platform and an object platform connected in sequence, and the control method comprises: monitoring a target collaborative robot on a production line, obtaining monitoring data, the monitoring data including at least one of image information of the target collaborative robot and displacement sensor data of the target collaborative robot; and processing the monitoring data.

Various embodiments of the teachings herein include a method for controlling a plurality of execution mechanisms. The method may include: determining a dependency relationship of synchronous motions among the plurality of execution mechanisms, wherein the dependency relationship represents motions of a second group of execution mechanisms in the plurality of execution mechanisms depending on motions of a first group of execution mechanisms in the plurality of execution mechanisms; determining an execution order of the first group of execution mechanisms and the second group of execution mechanisms according to the dependency relationship; determining rotation angles of joints coupled to corresponding execution mechanisms; and sequentially controlling the joints to respectively rotate by the determined rotation angles according to the determined execution order.

A robotic system includes a multi-sectional show robot. The multi-sectional show robot includes a primary robot with a controller and one or more sensors. The one or more sensors are configured to acquire feedback indicative of an environment surrounding the primary robot. The multi-sectional show robot also includes a secondary robot configured to removably couple to the primary robot to transition the multi-sectional show robot between a disengaged configuration, in which the primary robot is decoupled from the secondary robot, and an engaged configuration, in which the primary robot is coupled to the secondary robot. The controller is configured to operate the primary robot based on the feedback and a first control scheme with the multi-sectional show robot in the disengaged configuration and to operate the primary robot based on a second control scheme with the multi-sectional show robot in the engaged configuration.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning by work volumes to avoid conflicts. One of the methods includes receiving a process definition graph for a robot that includes action nodes, wherein the action nodes include (1) transition nodes that represent a motion to be taken by the robot from a respective start location to an end location and (2) task nodes that represent a particular task to be performed by the robot at a particular task location. An initial modified process definition graph that ignores one or more conflicts between respective transition nodes as well as one or more conflicts between respective transition nodes and task nodes is generated from the process definition graph. A refined process definition graph that ignores conflicts between transition nodes and recognizes conflicts between transition nodes and task nodes is generated from the initial modified process definition graph.

Disclosed is a method of positioning a limp flat workpiece is described, wherein the flat workpiece is provided in a random state on a manipulation surface. Subsequently, a camera image showing the flat workpiece is generated, and a grippable edge of the flat workpiece is identified by extracting characteristic image features of the camera image. Thereafter, a first gripping point for a first gripper and a second gripping point for a second gripper are determined, the second gripping point being spaced apart from the first gripping point. Also disclosed is positioning device for positioning a limp flat workpiece is presented.

Methods, systems, and platforms for automatic setup planning for a robot. The method includes sampling multiple poses in multiple dimensions within a robotic workspace. The method includes generating one or more candidate configurations based on the multiple poses. The method includes determining a score for each candidate configuration of the one or more candidate configurations. The score represents area coverage of a region of interest and at least one of an amount of setup time of the candidate configuration or an amount of energy used. The method includes determining a set of candidate configurations that has an overall area coverage that covers the region of interest based on the score for each candidate configuration. The method includes controlling a position and an orientation of the object based on the set of candidate configurations.

Methods, systems, and apparatus for automatically moving a tool attached to a robotic manipulator from a start position to a goal position. The method includes determining, using a processor, a plurality of next possible positions from the start position. The method includes selecting a second position from the plurality of next possible positions based on respective costs associated with moving the tool from the start position to each of the possible positions in the plurality of next possible positions. The method includes moving, using a plurality of actuators, the tool to the second position. The method includes determining an updated plurality of next possible positions, selecting a next position, and moving the tool to the next position until the goal position is reached.

Solutions for multi-robot configurations are co-optimized, to at least some degree, across a set of non-homogenous parameters based on a given set of tasks to be performed by robots in a multi-robot operational environment. Non-homogenous parameters may include two or more of: the respective base position and orientation of the robots, an allocation of tasks to respective robots, respective target sequences and/or trajectories for the robots. Such may be executed pre-runtime. Output may include for each robot: workcell layout, an ordered list or vector of targets, optionally dwell time durations at respective targets, and paths or trajectories between each pair of consecutive targets. Output may provide a complete, executable, solution to the problem, which in the absence of variability in timing, can be used to control the robots without any modification. A genetic algorithm, e.g., Differential Evolution, may optionally be used in generating a population of candidate solutions.

The control system includes: a plurality of controllers that respectively control a plurality of devices including at least robots; and an environment manager that is communicable with the plurality of controllers. The environment manager includes an environment information storage that stores environment information, and an information update unit that updates environment information according to an operation of the plurality of devices. Each of the plurality of controllers includes a condition monitor that monitors whether environment information stored in the environment device storage satisfies a predetermined condition and an operation execution unit that controls a corresponding device of the plurality of devices to execute a predetermined operation in a case where the environment information satisfies a predetermined condition.