Generally speaking, the mobile robot is capable of sensing its surrounding environment, interpreting the sensed information to obtain the knowledge of its location and the environment, planning a real-time trajectory to reach the object. In this process, the issue of obstacle avoidance is a fundamental topic to be challenged. Thus, an adaptive path-planning control scheme is designed without de...

This paper proposes a path-planning visual servoing strategy for a class of cameras that includes conventional perspective cameras, fisheye cameras, and catadioptric cameras as special cases. Specifically, these cameras are modeled by adopting a unified model recently proposed in the literature, and the strategy consists of designing image trajectories for eye-in-hand robotic systems that allow...

This work reports on the application of artificial intelligence and neural networks techniques to the problem of trajectory planning and control of a mobile robot with low sensory power. The aim is to determine a spatial sequence through which the robot must navigate forming a trajectory between the starting and goal points. In the first test, the environment has no obstacles and a search tree ...

Autonomous robot An autonomous robot is a robot that can perform tasks in unstructured environments with minimal human guidance. Planned path A planned path is a pre-determined, obstacle-free, trajectory that a robot can follow to reach its goal position from its starting position. Complete path planner A complete path planner is an algorithm that is guaranteed to find a path, if one exists. De...

Path planning in a completely known environment has been experienced various ways. However, in real world, most humanoid robots work in unknown environments. Robots’ path planning by artificial potential field and fuzzy artificial potential field methods are very popular in the field of robotics navigation. However, by default humanoid robots lack range sensors; thus, traditional artificial pot...

Localization of a radio frequency (RF) transmitter with intermittent transmissions is considered via a group of unmanned aerial vehicles (UAVs) equipped with omnidirectional received signal strength (RSS) sensors. This group embarks on an autonomous patrol to localize and track the target with a specified accuracy, as quickly as possible. The challenge can be decomposed into two stages: 1) esti...

This paper addresses path planning and control of mobile robots in rough terrain environments. Previous research separates path planning and control into two different problems and addresses them in different contexts. Instead, we formulate these issues in connected modules with performance requirement considerations in each module. We advocate the idea that by incorporating criterion-optimizin...

Crane lift path planning aims to find a collision-free trajectory for the lifted object among on-site obstacles from its pick location to the final location. However, the current manual planning process is time-consuming, prone to errors, and requires the practitioners to have exceptional visual abilities, since the construction site is congested and dynamically changing. Therefore, the need fo...

This paper presents an algorithm for path following applications represented by grid decomposition in order to provide smooth tracking. In the first stage, the method calculates the corners that define the path based on a vision algorithm proposed by [2], so a new reference trajectory is composed of a sequence of straight lines. Then, the reference path is divided into a set of equispaced point...

Abstract A path planning for mobile beacon nodes is presented based on the node localization problem of WSN. The beacon nodes define the unknown node position by using ranging method of RSSI. By analyzing defects of a static trajectory, random trajectory, the beacon nodes move to the maximum coverage of unlocated nodes. The simulation result demonstrates that this algorithm obtains good localiz...