Mobility Growth Via Robotics & Automation

Decoding Technology Mobility Growth Robotics Automation
Mobility Growth Via Robotics & Automation

Automation and Robotics in the larger ecosystem have percolated and embedded in automobile manufacturing, testing & development, product development and autonomous driving. They have reduced the lead time in speed to market, improved reliability and robustness, cost efficiency, enhanced fuel efficiency and safety.

Efficiency due to automation is seen in multiple facets of the mobility ecosystem. Virtual engineering techniques and processes have enabled varied design-related interactions between different stakeholders to be able to exchange ideas, data and customer inputs to bring out the optimised designs in shortest timespans. Automation has helped improve the robustness in design technologies and first time right outputs. The fraternity has been able to reduce and even avoid, at times, the testing of components or sub-systems. In many cases, the prototypes to be tested are lesser in upstream automation. Besides cost, these have had a multi-faceted positive impact on product life cycles.

Going further, automation, not only in product development but also in other aspects of product lifecycle and product experience, has brought enrichment to the customer. The customer is able to meet its aspirations, safety needs, timelines and driving habits. The driving experience, ownership and vehicle networking is extremely simplified due to connectivity and auto-switching of protocols, networks and bandwidths.

Automation linked through vision sensors has leveraged telematics, bandwidth of data transfer, and communication speed to bring in autonomous vehicles to consumer doorsteps. Driverless vehicles and autonomous driving are outcomes of transverse deployment technologies and processes in automation. This includes activation of safety devices in conventional and advanced mobility and lane changing, while driving in any type of vehicle, automatic braking and collision avoidance.

Automating the variety of controllers along with embedded systems in the automotive world has been on a steady growth trajectory. This has opened up avenues in multi-modal architectures that can be deployed on conventional, xEVs and autonomous vehicles. The integration of protocols has become more robust and interchangeable for deployment in different regions with differing norms and regulations.

ROBOTICS AS AN ANCHOR

Robotics has been the other mainstay in the automotive industry. The obvious advancements are seen in manufacturing, especially in welding, painting, assembly of windshields and few other visible aspects. Adding automation has positively impacted engines, transmissions and other sub-systems’ modular assembly and reduced time. Due to modularity, more vehicles roll down the assembly line with as low as one vehicle per minute. Implementing robotics in the repetitive processes has ensured more safety, reliability and quality of execution. Robotics in assembly has been used with and without vision sensors to bring in flexibility in manufacturing and ensure efficiency in cost, keeping best ergonomics standards.

Robots have been used in endurance tests, for vehicles on test tracks and during machine testing, while on dynamometers. For endurance, logging in hours and in some cases, kilometres, it is necessary to run the sub-systems using robots and controllers. This path has proved successful over the years to help reduce on-road testing, risks of accidents and ensuring that test prototypes are in a captive environment under observation. The confidence of regulators and policy makers has increased ever since automated test techniques and processes have been integrated in vehicle development.

ROUND-UP

Today, automation and robotics are engrained in the auto industry. They form a strong foundation that has built a high level of reliability and robustness of vehicles, and speed to market. Another outcome is the development of a new era of vehicles that are flexible and adaptable to the forward looking mobility models. The sustainability of the mobility industry will continue to grow with increased automation and robotics.