In the last decades, increasing energy prices and growing environmental awareness have
driven engineers and scientists to find new solutions for reducing energy consumption in …

This article presents an algorithm termed as multiobjective dynamic rapidly exploring
random (MOD-RRT*), which is suitable for robot navigation in unknown dynamic …

This paper presents an efficient double-layer ant colony optimization algorithm, called DL-
ACO, for autonomous robot navigation. This DL-ACO consists of two ant colony algorithms …

In this paper, the problem of near-optimal motion planning for vehicles with nonlinear
dynamics in a clustered environment is considered. Based on rapidly exploring random …

Numerous missions in both civil and military fields involve the pursuit-evasion problem of
vehicles. With vertical take-off and landing capability, the intelligent air–ground vehicle …

In this article, a novel mode switching control (MSC) strategy is proposed containing a fast-
response phase and a high-precision settling phase to meet the requirement of high-quality …

To drive the machine tool along a curve, a commercial computer-aid design and computer-
aided manufacturing system usually breaks the curve into a set of line segments. This paper …

Industrial robots (IRs) are widely used to increase productivity and efficiency in
manufacturing industries. Therefore, it is critical to reduce the energy consumption of IRs to …

This study develops a novel sampling-based path planning approach, simultaneously
achieving uncertainty reduction of localization and avoidance of dynamic obstacles. The …

This work investigates energy-optimal motion planning for a class of multiaxis motion
systems where the system dynamics are linear time-invariant and decoupled in each axis …