Genetic algorithms are heuristic optimization methods, which have mechanisms analogous to biological evolution. This article provides initial insight of autonomous navigation for mobile robots, a ...

A classic application of this algorithm is a scene where a vacuum robot autonomously cleans an area. This article compared the efficiency of the Boustrophedon Cell Decomposition(BCD) algorithm and the ...

A simulation and a pilot scale implementation of a vision based robot navigation system was carried out to determine the feasibility and the efficiency of using optical flow based algorithms in ...

Autonomous Navigation with Neuromorphic Systems Neuromorphic approaches to localization, mapping, and path planning. Event-driven navigation strategies for dynamic environments.

The new algorithm (DFLIOM) is up to 57 percent less resource-intensive than current leading methods, marking a major step in streamlining robotic navigation. Optimized robot vision ...

Scientists are using algorithms based on ant behavior to optimize the performance of robots in a parts warehouse. When it comes to groups that work together to get a job done, ants have pretty ...

It's also the technique that autonomous robots typically use to build models of their environments. A new algorithm lets independent agents collectively produce a machine-learning model without ...

Today's industrial robots are remarkably efficient—as long as they're in a controlled environment where everything is exactly where they expect it to be.