According to the researchers, DLIOM boasts several fundamental innovations designed to enhance a robot’s capabilities such as remembering previously visited locations, utilizing only relevant environmental information, adapting to changing surroundings, correcting blurry incoming imaging from its sensors and processing novel data. DLIOM also expedites the speed with which the autonomous robot operates by combining the data collection and process into a single step.
The new computational method requires little hands-on tuning for different environments, such as a thick forest or a sprawling suburb, thereby allowing the robot to explore various topographies on a single trip without human intervention. In essence, the algorithm enables the robot to process information so quickly that they can configure their journey as they go.
“When we send next-generation robots to explore other…
