Abstract: A robotic vehicle comprising a chassis and a manipulatable payload engagement portion, at least one sensor configured to acquire real-time sensor data, a pose validation system comprising computer program code executable by at least one processor to evaluate the sensor data to: determine if a goal pose of the robotic vehicle will result in a collision with infrastructure upon which the object is located when the engagement portion engages the object. If a potential collision is detected, the pose validation system can generate a signal to adjust the robotic vehicle's pose to avoid the collision. A corresponding method is also provided.

Abstract: In accordance with one aspect of the inventive concepts, provided is a robotic vehicle comprising at least one processor in communication with at least one computer memory device, a navigation system operatively controlling a drive system to navigate the mobile robot along a predetermined path, at least one sensor configured to acquire real-time sensor data, and a dynamic path adjust system comprising computer program code executable by the at least one processor to cause the navigation system to at least partially and/or temporarily deviate from a current path by generating a dynamically determined path or path segment based on the real-time sensor data and/or an indication in the current path to switch to dynamic path adjust. The robotic vehicle can be configured to switch path to a current and/or original path after executing a dynamically determined path adjustment. A corresponding method is also provided.

Abstract: A method of calibrating a light-curtain system of an autonomous mobile robot (AMR) is provided. The method includes providing a scanner set at a height above a ground surface and outputting a laser scanning beam downwardly reflect from at least one mirror; providing and/or determining initial mirror angles, mirror positions, and lidar height; calculating a lidar height from scanner data; determining a gradient vector as a byproduct of the lidar height calculating; adjusting mirror angles, mirror positions, and lidar height in a direction opposite of the gradient vector; assessing of the adjusted mirror angles, mirror positions, and lidar height are equal to or less than thresholds; and if so, storing the mirror angles, mirror positions, and lidar height and/or values representing a ground plane.

Abstract: A method of calibrating a light-curtain system of an autonomous mobile robot (AMR) is provided. The method includes providing a scanner set at a height above a ground surface and outputting a laser scanning beam downwardly reflect from at least one mirror; providing and/or determining initial mirror angles, mirror positions, and lidar height; calculating a lidar height from scanner data; determining a gradient vector as a byproduct of the lidar height calculating; adjusting mirror angles, mirror positions, and lidar height in a direction opposite of the gradient vector; assessing of the adjusted mirror angles, mirror positions, and lidar height are equal to or less than thresholds; and if so, storing the mirror angles, mirror positions, and lidar height and/or values representing a ground plane.

Abstract: A method of calibrating a light-curtain system of an autonomous mobile robot (AMR) is provided. The method includes providing a scanner set at a height above a ground surface and outputting a laser scanning beam downwardly reflect from at least one mirror; providing and/or determining initial mirror angles, mirror positions, and lidar height; calculating a lidar height from scanner data; determining a gradient vector as a byproduct of the lidar height calculating; adjusting mirror angles, mirror positions, and lidar height in a direction opposite of the gradient vector; assessing of the adjusted mirror angles, mirror positions, and lidar height are equal to or less than thresholds; and if so, storing the mirror angles, mirror positions, and lidar height and/or values representing a ground plane.