Motion planning is a fundamental problem in autonomous robotics that requires finding a
path to a specified goal that avoids obstacles and takes into account a robot's limitations and …

Rapidly random-exploring tree (RRT) and its variants are very popular due to their ability to
quickly and efficiently explore the state space. However, they suffer sensitivity to the initial …

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 a human-robot coexisting environment, it is pivotal for a mobile service robot to arrive at
the goal position safely and efficiently. In this article, an elastic band-based rapidly exploring …

In the traditional path planning problem of Unmanned Underwater Vehicle (UUV), it is
generally assumed that the navigation position information of UUV is accurate. However, the …

Mobile robot autonomous path planning is an essential factor for its wide deployment in real-
world applications. Conventional sampling-based algorithms have gained tremendous …

Emission source microscopy (ESM) technique can be utilized for localization of
electromagnetic interference sources in the electronic systems, but its accuracy is limited by …

The humanoid robot is widely used because of its ability to imitate human actions. The
selection of navigational techniques is of prime importance because the quality of the opted …

Sampling-based path planning is a popular methodology for robot path planning. With a
uniform sampling strategy to explore the state space, a feasible path can be found without …

In this article, path planning for intelligent vehicle collision avoidance of dynamic pedestrian
using attention mechanism-long short-term memory network (Att-LSTM), modified social …