In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

In recent years, global car ownership has increased year by year, leading to road traffic safety and vehicle congestion conditions are not optimistic. With the support of a new round of scientific and ...

According to the environment modeling approach, path planning algorithms of micro-/nanorobots are classified into searching, sampling, and dynamic aspects. The searching path planning algorithms ...

RTL Synthesis is the first step that collates IPs, parameters, PRAGMAS, and various collaterals like LEF and design libraries. It works path by path, targeting the worst timing paths first: basically, ...