Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

One of the essential attributes of a cleaning robot is to achieve complete area coverage.
Current commercial indoor cleaning robots have fixed morphology and are restricted to …

Shape-shifting robots are the feasible solutions to solve the Complete Coverage Planning
(CCP) problem. These robots can extend the covered areas by reconfiguring their shape to …

Achieving complete coverage in complex areas is a critical objective for tilling tasks such as
cleaning, painting, maintenance, and inspection. However, existing robots in the market …

The traditional A* algorithm suffers from issues such as sharp turning points in the path,
weak directional guidance during the search, and a large number of computed nodes. To …

In this paper, we proposed a deep neural network for the learning of an autonomous line
following robot. In this way, the robot can autonomously drive and follow the line painted on …

Robots can now learn how to make decisions and control themselves, generalizing learned
behaviors to unseen scenarios. In particular, AI powered robots show promise in rough …

This paper presents an innovative approach to path-planning for Autonomous Underwater
Vehicles (AUVs) in complex underwater environments, leveraging single-beam sonar data …

Automatic itinerary planning that provides an epic journey for each traveler is a fundamental
yet inefficient task. Most existing planning methods apply heuristic guidelines for certain …

Basic RRT path planning algorithm uses a uniform random sampling over the entire free
space of the environment in the process of producing new points for the RRT tree, which …