Abstract: A vehicle computing unit and method for collision avoidance. The method includes calculating a dynamic trajectory of a vehicle, wherein the dynamic trajectory of the vehicle indicates a projected movement path of the vehicle; determining whether at least one risk location is within the dynamic trajectory of the vehicle; operating the vehicle based on a driving decision selected from among a first driving decision and a second driving decision when at least one risk location is within the dynamic trajectory of the vehicle, wherein the first driving decision is determined based on inputs by an operator of the vehicle, wherein the second driving decision is determined by a vehicle computing unit of the vehicle; and operating the vehicle based on the inputs by the operator of the vehicle when no risk location is within the dynamic trajectory of the vehicle.

Abstract: Systems and a method are provided for programming a cobot for a plurality of cells of an industrial environment. A physical cobot is provided within a lab cell comprising physical lab objects. A virtual simulation system receives information inputs on a virtual cobot representing the physical cobot, regarding a virtual lab cell comprising virtual lab objects, and on a plurality of virtual industrial cells comprising virtual industrial objects. Inputs are received from the physical cobot's movement during teaching whereby the physical cobot is moved in the lab cell to the desired position(s) while providing, via a user interface, a visualization of the virtual cobot's movement within a meta cell generated by superimposing the plurality of virtual industrial cells with the virtual lab cell, so that collisions with any object are minimized. A robotic program is generated based on the received inputs of the physical cobot's movement.

Abstract: A vehicle computing unit and method for collision avoidance. The method includes calculating a dynamic trajectory of a vehicle, wherein the dynamic trajectory of the vehicle indicates a projected movement path of the vehicle; determining whether at least one risk location is within the dynamic trajectory of the vehicle; operating the vehicle based on a driving decision selected from among a first driving decision and a second driving decision when at least one risk location is within the dynamic trajectory of the vehicle, wherein the first driving decision is determined based on inputs by an operator of the vehicle, wherein the second driving decision is determined by a vehicle computing unit of the vehicle; and operating the vehicle based on the inputs by the operator of the vehicle when no risk location is within the dynamic trajectory of the vehicle.

Abstract: Systems and a method for programming for a plurality of cells of an industrial environment. A physical cobot is provided within a lab cell comprising lab physical objects. A virtual simulation system with a user interface is provided. The virtual simulation system receives information inputs on the virtual cobot, on the virtual lab cell comprising lab virtual objects, and on a plurality of virtual industrial cells comprising virtual industrial objects. The virtual cobot and the physical cobot are connected together. A superimposed meta-cell is generated by superimposing the plurality of virtual cells and the virtual lab cell so as to obtain a single superimposed meta cell including a set of superimposed virtual objects. The virtual cobot is positioned in the superimposed meta cell.