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 …

Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

Path planning algorithms are used by mobile robots, unmanned aerial vehicles, and
autonomous cars in order to identify safe, efficient, collision-free, and least-cost travel paths …

In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

Efficient robotic navigation requires a predefined map. Various autonomous exploration
strategies exist, which direct robots to unexplored space by detecting frontiers. Frontiers are …

Society is becoming more automated with robots beginning to perform most tasks in
factories and starting to help out in home and office environments. One of the most important …

The population of the world is predicted to reach nine billion by 2050, implying that
agricultural output must continue to rise. To deal with population expansion, agricultural …

We present a replanning algorithm for repairing rapidly-exploring random trees when
changes are made to the configuration space. Instead of abandoning the current RRT, our …

We present a sampling-based path planning algorithm capable of efficiently generating
solutions for high-dimensional manipulation problems involving challenging inverse …

This paper proposes a model-free control framework for the path planning of the rigid and
soft robotic manipulator using an intelligent algorithm called Weighted Jacobian Rapidly …