Path planning for wheeled mobile robots on partially known uneven terrain is an open
challenge since robot motions can be strongly influenced by terrain with incomplete …

Potential field algorithm introduced by Khatib is well-known in path planning for robots. The
algorithm is very simple yet provides real-time path planning and effective to avoid robot's …

The key factor for autonomous navigation is efficient perception of the surroundings, while
being able to move safely from an initial to a final point. We deal in this paper with a wheeled …

There are various path planning methods for mobile robots and one of them is A-star
algorithm. It serves fairly well for looking the path accurately. Unfortunately, the conventional …

Autonomous vehicles require in-depth knowledge of their surroundings, making path
segmentation and object detection crucial for determining the feasible region for path …

This paper presents an optimal path planning algorithm for unmanned ground vehicle (UGV)
to control its direction during parking manoeuvres by employing artificial potential field …

This paper presents a motion planning algorithm for generating optimal collision-free paths
for robotic vehicle with two trailers moving autonomously. The proposed algorithm is based …

Artificial potential field method is a common method to solve real time path planning
problems of robots, but this method has inherent problems: local minima traps and …

Mobile robot localization concerns estimating the position and heading of the robot relative
to its environment. Basically, the mobile robot moves around without initial knowledge of the …

Mobile robotic systems are used in a wide range of applications. Especially in the assistive
field, they can enhance the mobility of the elderly and disable people. Modern robotic …