A neural network solution is proposed for solving path planning problems faced by mobile robots. The proposed network is a two-dimensional sheet of neurons forming a distributed representation of the robot's workspace. Lateral interconnections between neurons are "cooperative", so that the network exhibits oscillatory behaviour. These oscillations are used to generate solutions of Bellman's dyn...

The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy known and changing is a difficult problem. Replaning the entire path when the robot encounters new obstacles is computational inefficient. Starting with an initial path and than modify the path locally does not guarante...

Generally speaking, the mobile robot is capable of sensing its surrounding environment, interpreting the sensed information to obtain the knowledge of its location and the environment, planning a real-time trajectory to reach the object. In this process, the issue of obstacle avoidance is a fundamental topic to be challenged. Thus, an adaptive path-planning control scheme is designed without de...

This paper describes a dynamical local pathplanning algorithm of a n autonomous mobile robot available fo r stationary obstacle avoidance using nonlinear friction. Dynamical path-planning algorithm i s considered to accommodate the mobile robot to the dynamic situation of the path-planning nature. Together with the previous virtual force f i e l d (VFF) method, the path of the mobile robot is a...

Based on environmental awareness and effective path planning algorithm, effective robot path planning can be achieved. In this paper, the Kinect sensor, the latest vision sensing technology, is used to perceive the obstacles and terrain information in dynamic environment in real-time, which enables robots to realize effective path planning tasks in complex dynamic environment. Using the real-im...

It is necessary for a biped robot to recognize a surrounding environment when moving to the destination. This paper presents a method for path planning and obstacle avoidance for the biped robot. In our approach, the robot obtains color information and distance information of objects from images captured by a stereo camera system. Then, the robot generates a 2D grid map which locates floor regi...

In a problem where a human uses supervisory control to manage robot path-planning, there are times when human does the path planning, and if satisfied commits those paths to be executed by the robot, and the robot executes that plan. In planning a path, the robot often uses an optimization algorithm that maximizes or minimizes an objective. When a human is assigned the task of path planning for...

The paper deals with Robot motion and path planning programme. The aim of the paper is to develop a path planning programme for mobile robots that is based on laplacian technique using iterative method. One of the most difficult problems in robotics applications is developing robust autonomous motion planning. In order to build a truly autonomous robot, it must have the capability to efficientl...

Many mobile robot path planning algorithms, produce changing intermediate goal coordinates for a mobile robot to pursue, and provide motoring speed/torque signals based upon local sensor information and the position of the global target. This is often done with little or no regard for the low level vehicle dynamics, which, in practice, must be taken into account for efficient path planning. The...

This paper presents a novel design for mobile robot using particle swarm optimization (PSO) and adaptive NN control. The adaptive NN control strategy guarantees that robot with nonholonomic constraints can follow smooth trajectories. Based on this property, a PSO algorithm for path planning is proposed. The path planning generates smooth path with low computational cost to avoid obstacles, so t...