Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Semantic navigation is necessary to deploy mobile robots in uncontrolled environments
such as homes or hospitals. Many learning-based approaches have been proposed in …

Navigation is a fundamental problem of mobile robots, for which Deep Reinforcement
Learning (DRL) has received significant attention because of its strong representation and …

Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

Unmanned maritime systems are evolving in a rapidly changing environment. Although the
regulation and international law processes are still in progress, there are numerous …

Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

Automated guided vehicles (AGVs) form a large and important part of the logistic transport
systems in today's industry. They are used on a large scale, especially in Europe, for over a …

Moving in complex environments is an essential capability of intelligent mobile robots.
Decades of research and engineering have been dedicated to developing sophisticated …

Mobility in an effective and socially-compliant manner is an essential yet challenging task for
robots operating in crowded spaces. Recent works have shown the power of deep …