Automatic Path Planner for Manikin used by BMW Group (Kineo CAM)
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Automatic Path Planner for Manikin used by BMW Group (Kineo CAM)

TOULOUSE, France, October 2011: Kineo CAM the leading software components provider for collision detection and automatic path planning announced in June the availability of its software component to assess and validate the feasibility of a human task.

BMW – Virtual Prototype Division has chosen Kineo CAM’s solution to automatically compute collision-free human tasks; because the most valuable asset of any company is its workforce, and employees' health should therefore always be at the heart of workplace design. BMW Group uses computer simulations to enable early and exact planning of assembly tasks. The core aim of computer-aided ergonomic analyses is the reduction of physical effort during the assembly work.

To enable production processes to be planned as early as possible and avoid errors in workplace design that would otherwise result in high costs, BMW Virtual Prototype division dedicates itself to optimizing work procedures and assembly tasks by validating component integration processes. For this they carry out a wide range of feasibility studies throughout the development cycle of a vehicle.

A critical point here is the human task operations, the validation of visibility and accessibility in different assembly scenarios, respecting kinematic constraint of human.

The ability to document the results with high quality simulations for effective communication purposes is therefore one of the challenges of a successful prototype development study.

Before working with Kineo Human Path Planner, the virtual prototype division used to manually search for the collision-free human task by moving the component with the manikin along a desired assembly path within a 3D digital mock-up session. 

Beyond the time required to complete the assembly study, a greater challenge in the process was to identify and communicate precise information (when mounting/dismounting was not feasible) which would lead to the issue resolution.

Today, with Kineo Human Path Planner, the virtual prototype division of BMW simply selects the geometry, specifies the human kinematic constraints and the human task, and launches Human Path Planner which assesses automatically a collision-free human task or human activity group, transforming in extremely short time a colliding human task into a new collision-free human task.

The main benefits of using Kineo Human Path Planner for the studies in the virtual prototype division are:


To read the complete BMW use-case please visit our Customer case studies web page.

Courtesy of the BMW Group.



About Kineo CAM

Kineo Computer Aided Motion “Kineo CAM” is the independent software developer of the worldwide leading technology for automatic motion and path planning, KineoWorks™.

Specialized in the development of advanced solutions, Kineo CAM provides business solutions to large companies and organizations in the United States, Europe and Japan.

The main market of Kineo CAM is Mechanical Computer-Aided Design and Manufacturing. In this area, the large range of solutions, from stand-alone to fully integrated software, enables users to save money, shorten development time and increase quality in Product Design (validation of mechanical mounting/dismounting) and Process (simulation of operations in cluttered 3D environments).

Kineo CAM is the winner of the national contest of innovation from the Ministry of Research and Technology (2000), received the IEEE/IFR Innovation Award for Outstanding Achievements in Commercializing Innovative Robot and Automation technology (2005), winner of the 2007 Innovation ICT Prize from the European Commission and the European Council of Applied Sciences, Technologies & Engineering, and the regional Midi-Pyrénées Innovation and International award. Kineo CAM was awarded by Daratech, the title of emerging technology at the Daratech SUMMIT2006 with eight other innovative American companies.

Laurent Maniscalco

Kineo CAM

Tel.:+33 (0)5 61 00 90 60 


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