This paper presents a review of past and present results and approaches in the area of
motion planning using MIP (Mixed-integer Programming). Although in the early 2000s MIP …

WITH the rapid technology development in areas such as autonomous control,
communication, and high-performance materials, unmanned aerial vehicles (UAVs) have …

This paper addresses the time-optimal trajectory planning for autonomous underwater
vehicles. A detailed mixed integer nonlinear programming (MINLP) model is presented …

This research investigates optimization-based schemes aimed at achieving effective
collision avoidance in autonomous vehicles. The study introduces three explicit formulations …

This research addresses the increasing demand for advanced navigation systems capable
of operating within confined surroundings. A significant challenge in this field is developing …

In this article, an Enlarged Polygon/Polyhedron (ELP) method without binary variables is
proposed to represent the Convex Polygonal/Polyhedral Obstacle Avoidance (CPOA) …

This study proposes a unified optimization-based planning framework that addresses the
precise and efficient navigation of a controlled object within a constrained region, while …

The corner cutting avoidance problem is an important but often overlooked part of motion
planning strategies. Obstacle and collision avoidance constraints are usually imposed at the …

This paper presents an effective method for quadrotor trajectory planning considering
attitude limitations and obstacle-avoidance constraints. By transforming attitude limitations …

This note is concerned with the problem of crossing a target set between sample instants
under the influence of bounded unknown disturbances. The proposed solution employs …