A robotic automated filling and capping system is made up of a cartridge infeed conveyor, a cap infeed conveyor, an outfeed conveyor, a six-axis robot, and a selective compliance articulated robot arm, all of which are configured to work together to automatically, and sanitarily, fill and cap vape oil cartridges.

Systems and methods for motion mode management include a computer-assisted device having an input control, a repositionable structure, and a controller coupled to the input control and the repositionable structure. The controller is configured to detect motion of the input control for controlling motion of the repositionable structure and in response to determining that the motion of the input control is likely to be confused with a first portion of a motion of the input control for indicating that a mode of operation of the computer-assisted device is to be changed, temporarily disable mode switching in response to motion of the input control.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

A robotic fleet management platform includes a resources data store maintaining a fleet resource inventory indicating fleet resources that can be assigned to a robotic fleet. For each respective fleet resource, the fleet resource inventory indicates maintenance status data, a predicted maintenance need, and/or a preventive maintenance schedule. A maintenance management library of fleet resource maintenance requirements facilitates determining maintenance workflows, service actions, and/or service parts for fleet resources. The platform calculates the predicted maintenance need of a fleet resource based anticipated component wear. The anticipated wear/failure is derived from machine learning-based analysis of the maintenance status data. The platform monitors a health state of the fleet resource from sensor data. The platform adapts the preventive maintenance schedule. The platform initiates a service action of the at least one item of maintenance for the fleet resource based on the fleet resource maintenance requirements and/or the new preventive maintenance schedule.

A robotic datacenter assembly includes a datacenter which stores a plurality of data storage units. A rail system is integrated into the datacenter and the rail system is positioned adjacent to the ceiling such that the rail system is spaced above the plurality of data storage units. An operational command unit is positioned in the datacenter and the operational command unit stores a database which includes robotic operational software. A plurality of drive units each movably engages the rail system such that each of the drive units can travel along the rail system. A plurality of robotic arms is each integrated into a respective one of the drive units having each of the robotic arms extending downwardly from the rail system. Each of the robotic arms is actuatable to manipulate any of the data storage units thereby facilitating hardware in any of the data storage units to be serviced or replaced by the robotic arms.

A robotic system for presenting a payload within a workspace includes a pair of serial robots configured to connect to the payload, a parallel robot coupled to a distal end of one of the serial robots such that the parallel robot is disposed between the distal end and the payload, a sensor situated within a kinematic chain extending between the distal end and the payload, and a robot control system (RCS). The sensor outputs a sensor signal indicative of a measured property of the payload. The RCS includes a coordinated motion controller configured to control the serial robots, and a corrective motion controller configured to control the parallel robot. Parallel robot control occurs in response to the sensor signal concurrently with control of the serial robots in order to thereby modify the property of the payload in real-time.

One embodiment can provide an apparatus. The apparatus can include a robotic arm, a pair of jaws coupled to the robotic arm configured to grip a fabric piece at a pair of predetermined locations, a force sensor coupled to the jaws and configured to measure a tension force applied to the fabric piece by the jaws, and a control module configured to control movements of at least one jaw based on the measured tension force, thereby allowing the fabric piece to be stretched.

A robotic welding system comprises a supporting arm for attaching to a repositionable support structure, the supporting arm comprising a first mounting portion connectable to the repositionable support structure, and a second mounting portion rotatably coupled to the first mounting portion. A yaw rotary actuator rotates the second mounting portion about a yaw axis. A welding arm comprises a third mounting portion rotatably coupled to the second mounting portion of the supporting arm. A pitch rotary actuator rotates the third mounting portion about a pitch axis generally perpendicular to the yaw axis. A roll rotary actuator rotates a torch holder shaft about a roll axis generally perpendicular to the pitch axis. The shaft has a torch mounting portion for mounting a welding torch at an end thereof. A controller is operably coupled to the actuators to cause the welding torch to execute a welding pattern.

A robotic surgical system includes an eye gaze sensing system in conjunction with a visual display of a camera image from a surgical work site. Detected gaze of a surgeon towards the display is used as input to the system. This input may be used by the system to assign an instrument to a control input device (when the user is prompted to look at the instrument), or it may be used as input to a computer vision algorithm to aid in object differentiation and seeding information, facilitating identification/differentiation of instruments, anatomical features or regions.

A conveyor system includes a first robot singulator, a second robot singulator, and a picking area from which parcels of a bulk flow of parcels can be engaged and transferred by the first robot singulator or the second robot singulator. The conveyor system further includes a first place conveyor positioned downstream of the picking area and configured to receive parcels transferred by the first robot singulator. The conveyor system further includes a second place conveyor positioned downstream of the picking area and the first place conveyor, the second place conveyor configured to receive parcels transferred by the second robot singulator and to receive parcels from the first place conveyor. A buffering conveyor is positioned between the first place conveyor and the second place conveyor for regulating a rate at which parcels offloaded by the first place conveyor are transferred to the second place conveyor.