B25J9/1617

Reconfigurable robotic manufacturing cells

A manufacturing process adopting the reconfigurable robotic manufacturing cells that can work conjointly and yet have the capabilities to be reconfigured to disconnect from other cells and handle multiple tasks. The reconfigurable robotic cell is not dependent on any other robotic cells to complete work in progress.

Inspection robot and methods thereof for responding to inspection data in real time

An inspection robot, and methods and a controller thereof are disclosed. An inspection robot may include an inspection chassis including a plurality of inspection sensors and coupled to at least one drive module to drive the robot over an inspection surface. The inspection robot may also include a controller including an inspection data circuit to interpret inspection base data, an inspection processing circuit to determine refined inspection data, and an inspection configuration circuit to determine an inspection response value in response to the refined inspection data. The controller may further include an inspection response circuit to, in response to the inspection response value, provide an inspection command value while the inspection robot is interrogating the inspection surface.

Robotic Post System
20230057149 · 2023-02-23 · ·

A robotic post system includes one or more composable robotic posts each having a processor and a memory. At least one composable post includes a set of modules including one or more pairable latches which is configured to couple and lock with another pairable latch from among another set of modules included on another of the composable posts, such that the composable robotic posts form a composable carrier structure defined by the composable robotic posts.

Flux System
20230054004 · 2023-02-23 · ·

A flux system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and to infer an activity interest semantic based on an input, and to assign a servicing agent to service an activity interest based on semantic matching.

RECONFIGURABLE ROBOTIC MANUFACTURING CELLS

A manufacturing process adopting the reconfigurable robotic manufacturing cells that can work conjointly and yet have the capabilities to be reconfigured to disconnect from other cells and handle multiple tasks. The reconfigurable robotic cell is not dependent on any other robotic cells to complete work in progress.

INSPECTION ROBOTS WITH SWAPPABLE DRIVE MODULES

Inspection robots with swappable drive modules are described. An example inspect robot may include a first removeable interface plate on the side of a robot chassis. The first removable interface plate may couple a first drive module to an electronic board, within the chassis, where the electronic board includes a drive module interface circuit communicatively coupled to the first drive module. The example inspect robot may also include a second removeable interface plate on a side of a robot chassis. The second removable interface plate may couple a second drive module to an electronic board, within the chassis, where the electronic board includes a drive module interface circuit communicatively coupled to the second drive module.

Flux sensing system
11613010 · 2023-03-28 · ·

A flux sensing system includes a memory and a processor in communication with the memory and at least one sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. Based on inputs from the at least one sensing device, the computing system is configured to determine an active servicing capability associated with a first semantic flux and/or a consumer interest associated with a second semantic flux and match the interest with the capability based on semantic drift inference.

INSPECTION ROBOTS AND METHODS FOR INSPECTION OF CURVED SURFACES WITH SENSORS AT SELECTED HORIZONTAL DISTANCES

Inspection robots and methods for inspection of curved surfaces with sensors at selected horizontal distances are described. An example of such an inspection robot includes a housing; a drive module with a wheel and a motor operatively linked to the housing, a plurality of sensor sleds, and a payload. The payload, which is coupled to the housing, may include a first and a second rail component, each with at least one connector, where the rail components are connectable at a first selected position of a plurality of discrete engagement positions. Each of the rail components may be structured to support at least one of the plurality of sleds where each of the plurality of sleds is coupled to the payload at a respective selected horizontal position such that the plurality of sleds are at selected horizontal distances from each other.

Robot configuration with three-dimensional lidar

A mobile robotic device includes a mobile base and a mast fixed relative to the mobile base. The mast includes a carved-out portion. The mobile robotic device further includes a three-dimensional (3D) lidar sensor mounted in the carved-out portion of the mast and fixed relative to the mast such that a vertical field of view of the 3D lidar sensor is angled downward toward an are in front of the mobile robotic device.

ROBOT CALIBRATION
20220339790 · 2022-10-27 ·

Methods and apparatuses for calibrating an end effector feature for robotic assembly are disclosed. A method in accordance with an aspect of the present disclosure may comprise obtaining a first set of images of an effector feature coupled to an engagement feature of a robot, the first set of images including at least a first image of the effector feature from a first perspective and a second image of the effector feature from a second perspective, detecting an edge in each of the first image and the second image, determining a coordinate position of the effector feature in a first coordinate system based on the edge of the first image and the edge of the second image, and calibrating the robot based on the coordinate position of the effector feature in the first coordinate system.