Logistics 4.0: Bringing Automated Guided Vehicles on road

Changing the dynamics of the existing transportation and logistics industry with an AI-management system, the concept of driverless cars is not a distant possibility anymore.

With self-driving cars blurring the lines between public and private driving modes, it has expanded its base towards fleet operations as well. AVs have already established their prominence over a significant part of the logistics. Albeit driverless vehicles aren’t seen on roads, but robots have taken operations to a whole new level of efficiency when it comes to modern warehouses.

The arrival of digital technology is all set to revolutionize the logistics industry in ways that were unthinkable only a few years ago. Creating an ecosystem of autonomous vehicles to carry heavy machinery and raw material that too for both long and short-haul will be an essential part of the supply chain in the near future. Autonomous guided vehicles will be the bedrock for future automated logistics processes.

It wouldn’t be too long when the early-stage autonomous commercial vehicles will see active use in different country’s roadways, with front running auto manufacturers already planning to release their breakthrough AV prototypes. 

However, with such prolific use of AGVs, a greater emphasis needs to be centred on autonomous security. Any vulnerable electronic interface will need to be secured, especially as AV systems are going to be extremely complex, believe the industry insiders who are leaning on to the technology for better and integrated systems.

There will also be a need to suppress multiple redundancies in case primary [control] systems fail or in case of a security disabled technology system.

With the available technology, the public and private stakeholders continue to debate the viability of autonomous vehicles (AVs), which brings us to think: AI is ready for the logistic industry, but is the industry ready for AI? Currently, the answer is a resounding, “Most possibly”. While it is sure to replace the tedious and error-prone work with more accurate results, the optimum strategy will require integration for which complete overtaking is required. However, the process will take a few more years.

Even though the adaptability is in question, driverless cars will be ubiquitous with the logistic industry clearly anticipating their arrival!

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