Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great
examples of mobile robots. They can be distinguished from other robots by their ability to …

Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing
steadily due to their potential to improve on the performance of their non-collaborative …

Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes
exploit spatiotemporal cooperation, to provide reliable location information for a diverse …

Intelligent mobile robots that can move independently were laid out in the real world around
100 years ago during the second world war after advancements in computer science. Since …

Surveys the developments of the last 20 years in the area of vision for mobile robot
navigation. Two major components of the paper deal with indoor navigation and outdoor …

One important issue in the motion planning and control of kinematically redundant
manipulators is the obstacle avoidance. In this paper, a recurrent neural network is …

This paper proposes a new inequality-based criterion/constraint with its algorithmic and
computational details for obstacle avoidance of redundant robot manipulators. By …

Approximately eight decades ago, during World War II, the concept of intelligent robots
capable of independent arm movement began to emerge as computer science and …

Moving obstacle avoidance is a fundamental requirement for any robot operating in real
environments, where pedestrians, bicycles, and cars are present. In this paper, we propose …

A YOLOX convolutional neural network-based weeding robot was designed for weed
removal in corn seedling fields, while verifying the feasibility of a blue light laser as a non …