Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

With the introduction of autonomy into the precision agriculture process, environmental
exploration, disaster response, and other fields, one of the global demands is to navigate …

Robotic solutions for quick disaster response are essential to ensure minimal loss of life,
especially when the search area is too dangerous or too vast for human rescuers. We model …

Inventory robots produce accurate results while reducing costs. Such robots are specialized
in navigating around store/warehouse facilities while reading radio frequency identification …

The sampling-based exploration strategy is the most effective for Unmanned Aerial Vehicles,
Micro Aerial Vehicles, and other three-dimensional outdoor robots. Its objective is to send …

Autonomous exploration to build a map of an unknown environment is a fundamental
robotics problem. However, the quality of the map directly influences the quality of …

This paper presents an autonomous exploration method for underactuated unmanned
underwater vehicle (UUV) to search flat areas without the prior maps. To address the poor …

This paper introduces 3-D surface tracking control of an Unmanned Underwater Vehicle
(UUV) in tunnel-like environments. Consider the case where a sonar transducer in the UUV …

In response to the critical need for effective reconnaissance in disaster scenarios, this
research article presents the design and implementation of a complete autonomous robot …

This paper presents a real-time simulation of a frontier exploration robot using a
nonholonomic mobile robot's kinematic model. In MATLAB, three heuristic-based frontier …