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EXERCISES – PATH PLANNING & ROS ISSUES By Vuk Vujovic
7

EXERCISES – Path planning

Dec 30, 2015

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EXERCISES – Path planning. & ROS ISSUES. By Vuk Vujovic. APPLICATIONS OF PATH PLANNING. Potential Field approach vs. graph approach. A* Algorithm - recap. http://ashblue.github.io/javascript-pathfinding/. A* approach – discussion. Manhattan distance Euclidean distance - PowerPoint PPT Presentation
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Page 1: EXERCISES – Path planning

EXERCISES – PATH PLANNING& ROS ISSUES

By Vuk Vujovic

Page 2: EXERCISES – Path planning

APPLICATIONS OF PATH PLANNING

Page 3: EXERCISES – Path planning

POTENTIAL FIELD APPROACH VS. GRAPH APPROACH

Page 4: EXERCISES – Path planning

A* ALGORITHM - RECAP

http://ashblue.github.io/javascript-pathfinding/

Page 5: EXERCISES – Path planning

A* APPROACH – DISCUSSION

• Manhattan distance

• Euclidean distance

• Which one works better for you and why?

• 4-connected or 8-connected?

• Which one is better for our case?

THINK ABOUT HOW IS YOUR ROBOT MOVING!HEURISTIC SHOULD APPROXIMATE THE OPTIMAL DISTANCE FROM CURRENT NODE TO GOAL

Page 6: EXERCISES – Path planning

ROS TF WHY AND HOW?

• System for describing relations among different coordinate frames

• Keeps track of relations for you

• Perfect for models with multiple bodies like robotic arms and humanoid robots

http://www.ros.org/news/resources/2009/nao_rviz.png

Page 7: EXERCISES – Path planning

QUESTIONS?

http://www.globalrobots.com/uploads/images/Question%20mark%20robot.jpg