The subpath planning problem (SPP) is a branch of path planning problem, which has widespread applications in automated manufacturing process as well as vehicle and robot navigation. This problem aims to find the shortest path or tour subject to covering a set of given subpaths. By casting SPP to a graph routing problem, we propose a deterministic 2-approximation algorithm finding near optimal ...

This article presents an improved ant colony optimization (IACO) algorithm to calculate the shortest path for pneumatic robot manipulator. MATLAB Script node in LabVIEW was used to determine the optimum trajectories and sequent nodes of moving for robot system. The LabVIEW graphical development software was used to construct the graphical user interference (GUI) of the robot manipulator, monito...

This paper presents characterization of shortest paths for differentialdrive mobile robots with classifying solutions in the spirit of Dubins curves and Reeds-Shepp curves for car-like robots. Not only optimal paths for mobile robots are interesting with respect to the optimized criteria, but also they offer a family of motion primitives that can be used for motion planning in the presence of o...

One of user's queries from navigation service is to find the nearest facility in terms of time. The facility that is being questioned by the user as a destination may have a queuing service system (e.g. bank), which means that the cost function of the shortest path includes the waiting time at the destination as well as the travel time. This research conducts in the zone 1 of Mashhad with Bank ...

We present the rst lower bounds for shortest path problems (including euclidean shortest path) in three dimensions, and for some constrained motion planning problems in two and three dimensions. Our proofs are based a technique called free path encoding and use homotopy equivalence classes of paths to encode state. We rst apply the method to the shortest path problem in three dimensions. The pr...

Optimal path planning refers to find the collision free, shortest, and smooth route between start and goal positions. This task is essential in many robotic applications such as autonomous car, surveillance operations, agricultural robots, planetary and space exploration missions. Rapidly-exploring Random Tree Star (RRT*) is a renowned sampling based planning approach. It has gained immense pop...

Reasonable welding path has a significant impact on welding efficiency, and a collision-free path should be considered first in the process of welding robot path planning. The shortest path length is considered as an optimization objective, and obstacle avoidance is considered as the constraint condition in this paper. First, a grid method is used as a modeling method after the optimization obj...

We propose data structures preparing shortest path routing, such as OSPF or ISIS, for link failure. Each router can in constant time determine an outgoing link on a shortest path to a destination avoiding any given failed link. This is used to avoid inconsistent forwarding in the period where router tables are updated following a link-