An embodiment system for adjusting a gap step includes a process device configured to mount a first moving part and a second moving part, a first information obtaining device including a camera, and a control device configured to control the process device based on a first driving control value such that the first moving part and the second moving part are mounted on a first vehicle body, obtain a first image of the first vehicle body on which the first moving part and the second moving part are mounted, obtain the gap step for the first moving part, the second moving part, or both through the first image, and mount the first moving part and the second moving part on a second vehicle body by controlling the process device based on a second driving control value corresponding to the gap step.

Systems and methods are provided for an automation system. The systems and methods calculate a motion trajectory of a manipulator and an end-effector. The end-effector is configured to grasp a target object. The motion trajectory defines successive positions of the manipulator and the end-effector along a plurality of via-points toward the target object. The systems and methods further acquire force/torque (F/T) data from an F/T sensor associated with the end-effector, and adjusts the motion trajectory based on the F/T data.

A robotic system validates brake bleeding by detecting one or more forces generated by a machine assembly acting to move a brake lever of a vehicle in order to open a valve of an air brake system of the vehicle. The system also detects displacement of the machine assembly as the machine assembly acts to move the brake lever, monitors one or more sounds generated one or more of during or after the machine assembly acts to move the brake lever, and determines that the brake lever has been moved to a position to open the valve of the air brake system to release the air brake system based on the one or more forces that are detected, the displacement that is detected, and/or the one or more sounds that are monitored.

A system includes a machine assembly, an imaging sensor, an encoder, and one or more processors. The machine assembly is movable to actuate a brake lever of a vehicle in order to open a valve of an air brake system of the vehicle. The imaging sensor acquires perception information of a working environment that includes the brake lever. The encoder detects a displaced position of the machine assembly relative to a reference position of the machine assembly. The one or more processors detect a position of the brake lever relative to the machine assembly based on the acquired perception information and the detected displacement of the arm. The one or more processors generate a motion trajectory for the machine assembly that provides a path to the brake lever. The one or more processors drive movement of the machine assembly along the motion trajectory towards the brake lever.

A system is provided that includes a machine assembly, a first imaging sensor, an encoder, and one or more processors. The machine assembly is movable to actuate a brake lever of a vehicle in order to open a valve of an air brake system. The first imaging sensor is positioned to acquire two-dimensional perception information of a working environment that includes the brake lever during movement of the machine assembly towards the brake lever. The encoder detects a displacement of the machine assembly relative to a reference position of the machine assembly. The one or more processors estimate a target position of the brake lever relative to the machine assembly during movement of the machine assembly based on the two-dimensional perception information and the displacement. The one or more processors drive the movement of the machine assembly towards the target position of the brake lever.

A method for controlling a robotic item handler is described. The method includes constructing a machine learning model based on a combined point cloud data as an input to a convolution neural network, outputting a decision classification indicative of a first probability associated with a first operating mode and a second probability associated with a second operating mode, selecting one of the first operating mode and the second operating mode of the robotic item handler based on the decision classification outputted by the machine learning model, and operating the robotic item handler according to the selection of the one of the first operating mode and the second operating mode.

Systems and methods are provided for an automation system. The systems and methods calculate a motion trajectory of a manipulator and an end-effector. The end-effector is configured to grasp a target object. The motion trajectory defines successive positions of the manipulator and the end-effector along a plurality of via-points toward the target object. The systems and methods further acquire force/torque (F/T) data from an F/T sensor associated with the end-effector, and adjusts the motion trajectory based on the F/T data.

A system is provided that includes a machine assembly, a first imaging sensor, an encoder, and one or more processors. The machine assembly is movable to actuate a brake lever of a vehicle in order to open a valve of an air brake system. The first imaging sensor is positioned to acquire two-dimensional perception information of a working environment that includes the brake lever during movement of the machine assembly towards the brake lever. The encoder detects a displacement of the machine assembly relative to a reference position of the machine assembly. The one or more processors estimate a target position of the brake lever relative to the machine assembly during movement of the machine assembly based on the two-dimensional perception information and the displacement. The one or more processors drive the movement of the machine assembly towards the target position of the brake lever.

A robotic system validates brake bleeding by detecting one or more forces generated by a machine assembly acting to move a brake lever of a vehicle in order to open a valve of an air brake system of the vehicle. The system also detects displacement of the machine assembly as the machine assembly acts to move the brake lever, monitors one or more sounds generated one or more of during or after the machine assembly acts to move the brake lever, and determines that the brake lever has been moved to a position to open the valve of the air brake system to release the air brake system based on the one or more forces that are detected, the displacement that is detected, and/or the one or more sounds that are monitored.

A system includes a machine assembly, an imaging sensor, an encoder, and one or more processors. The machine assembly is movable to actuate a brake lever of a vehicle in order to open a valve of an air brake system of the vehicle. The imaging sensor acquires perception information of a working environment that includes the brake lever. The encoder detects a displaced position of the machine assembly relative to a reference position of the machine assembly. The one or more processors detect a position of the brake lever relative to the machine assembly based on the acquired perception information and the detected displacement of the arm. The one or more processors generate a motion trajectory for the machine assembly that provides a path to the brake lever. The one or more processors drive movement of the machine assembly along the motion trajectory towards the brake lever.