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Project on Implementation of Wave Front Planner Algorithm

Project on Implementation of Wave Front Planner Algorithm. Submitted to: Prof. Jaebyung Park Intelligent Systems & Robotics Lab. Division of Electronic Engineering Chonbuk National Univerisity. Submitted by: Ram Kaji Budhathoki ID : 201155431 Robot Vision Lab

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Project on Implementation of Wave Front Planner Algorithm

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  1. Project onImplementation of Wave Front Planner Algorithm Submitted to: Prof. Jaebyung Park Intelligent Systems & Robotics Lab. Division of Electronic Engineering Chonbuk National Univerisity Submitted by: Ram KajiBudhathoki ID : 201155431 Robot Vision Lab Division of Electronics and Information Engineering

  2. Introduction • To determine the robot path from any particular start position to the goal position avoiding the obstacles using wave front planner algorithm along with gradient descent algorithm.

  3. Methodology Wave Front + Gradient Descent Algorithm An image with Free space and obstalces Robot finds path From start to goal ,if it exists. An image

  4. The wave-front planner Algorithm • Consider a two-dimensional space. • The planner starts with the standard binary grid of zeros corresponding to free space and ones to obstacles. • The planner also knows the pixel locations of the start and goal. • The goal pixel is labeled with a two. • In the first step, all zero-valued pixels neighboring the goal are labeled with a three. • Next, all zero-valued pixels adjacent to threes are labeled with four.

  5. The wave-front planner Algorithm Contd…… 7. This procedure essentially grows a wave front from the goal where at each iteration, all pixels on the wave front have the same path length, measured with respect to the grid, to the goal. 8. This procedure terminates when the wave front reaches the pixel that contains the robot start location. 9. The planner then determines a path via gradient descent on the grid starting from the start.

  6. Wave Front Planner :An Example

  7. Wave Front Planner :An Example

  8. Gradient Descent Algorithm Input: A means to compute the gradient ∇U (q)at a point q Output: A sequence of points {q(0), q(1), ..., q(i)} 1: q(0) = qstart 2: i = 0 3: while ∇U (q(i)) ≠= 0 do 4: q(i + 1) = q(i) + α(i)∇U (q(i)) 5: i = i + 1 6: end while

  9. Proposed system showing motion towards the goal

  10. THANK YOU.

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