Autonomous mobile robots navigating dynamic environments

by Sajith Wimalaratne | Mar 18, 2022

The world is experiencing significant progress in AI-enabled autonomous mobile systems. It will open opportunities for such systems to be used in a diverse range of markets. From consumer and hospitality through to construction, hospitals and care homes, nothing will be the same again.

Navigation for mobile robots

With mobile robots set to transcend simple material handling and transport uses into much more challenging environments, we decided to invest time to confront key remaining challenges. High on that list is navigation. Watch the video below to see how we are rising to this challenge.

It’s a considerable ask for a mobile robot to effectively negotiate dynamic, unpredictable environments that are crowded with people and moving mechanical elements. Our navigation solution uses a combination of off-the-shelf sensors and sensor fusion techniques and features a custom-built Reinforcement Learning AI algorithm. We used exclusively virtual environments to train the algorithm to carry out real world navigation based tasks.

Scroll down for the video, and discover more in our blog: Our route to new automation opportunities for industry.

Expert authors

Vice President, Industrial Biotechnology | View profile

Sajith heads up our North American biotech capability including a cross-functional team of biologists, physicists, engineers and AI professionals. His focus is utilising insights into emerging trends and technologies in deep biotech to fuel the development of novel products and accelerate commercialisation.

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