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 …

Sampling-based motion planning is one of the fundamental paradigms to generate robot
motions, and a cornerstone of robotics research. This comparative review provides an up-to …

This paper presents a new algorithm named spherical vector-based particle swarm
optimization (SPSO) to deal with the problem of path planning for unmanned aerial vehicles …

This paper presents a real-time dynamic path planning method for autonomous driving that
avoids both static and moving obstacles. The proposed path planning method determines …

Path planning and navigation is a very important problem in robotics, especially for mobile
robots operating in complex environments. Sampling based planners such as the …

Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

A new motion planning method for robots in static workspaces is presented. This method
proceeds in two phases: a learning phase and a query phase. In the learning phase, a …

This paper presents the first randomized approach to kinodynamic planning (also known as
trajectory planning or trajectory design). The task is to determine control inputs to drive a …

Civil engineers always face the challenge of uncertainty in planning, building, and
maintaining infrastructure. These works rely heavily on a variety of surveying and monitoring …