Today, robotics is an important cornerstone of modern industrial production. Robots are
used for numerous reasons including reliability and continuously high quality of work. The …

The travelling salesman problem (TSP) with neighbourhoods extends the TSP to the case
where each vertex of the tour is allowed to move in a given region. This NP-hard …

Often times in mobile robotics, optimizing a sequence of tasks and the paths between those
destinations is an essential factor. In simple cases, this problem can be modeled by the well …

The paper proposes a new methodology to optimize the robot and positioner motions in
redundant robotic system for the fiber placement process. It allows user to find time-optimal …

In this paper, Self‐Organizing Map (SOM) for the Multiple Traveling Salesman Problem
(MTSP) with minmax objective is applied to the robotic problem of multigoal path planning in …

The robot task sequencing problem and trajectory planning problem are two important
issues in the robotic optimization domain and are solved sequentially in two separate levels …

An application of the self-organizing map (SOM) to the Traveling Salesman Problem (TSP)
has been reported by many researchers, however these approaches are mainly focused on …

The robotic task sequencing problem (RTSP) appears in various forms across many
industrial applications and consists of developing an optimal sequence of motions to visit a …

Radiation therapy is among the top three cancer treatments in current medical services. The
novel noncoplanar radiation therapy which claimed the best characteristics in almost all …

This paper presents a novel sampling-based motion planning method for shape inspection
applications with a redundant robotic system. In this paper, a 7-Degree-of-Freedom (DOF) …