The rapidly exploring random tree and its variants (RRTs) have been widely adopted as the
motion planning algorithms for mobile robots. However, the trap space problem, such as …

In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time
collision avoidance, this study conducts global and local path planning for USVs in a …

In the human–robot integration environment, it is essential for mobile robots to pass through
the crowd and complete the navigation task smoothly. However, the current mainstream …

Autonomous robot exploration has received widespread attention as a crucial step in
constructing maps for unknown environments. Among the research results in the field of …

Rapidly exploring random tree and its applications for mobile robot navigation have
attracted extensive interest in the human–robot interaction environment. However, most …

Autonomous exploration is a critical technology to realize robotic intelligence as it allows
unsupervised preparation for future tasks and facilitates flexible deployment. In this paper, a …

Rapidly-exploring Random Trees (RRTs) are a popular technique for autonomous
exploration of mobile robots. However, the random sampling used by RRTs can result in …

The sampling-based partial motion planning algorithm has come into widespread
application in dynamic mobile robot navigation due to its low calculation costs and excellent …

With the development of service robot technology, the natural interaction between humans
and service robots has attracted increasing attention. People are no longer satisfied with …

At present, the frontier-based exploration has been one of the mainstream methods in
autonomous robot exploration. Among the frontier-based algorithms, the method of …