Name
Abstract | ||
|---|---|---|
We introduce an effective computer aided learning visual tool (CALVT) to teach graph-based applications. We present the robot motion planning problem as an example of such applications. The proposed tool can be used to simulate and/or further to implement practical systems in different areas of computer science such as graphics, computational geometry, robotics and networking. In the robot motion planning example, CALVT enables users to setup the working environment by creating obstacles and a robot of different shapes, specifying starting and goal positions, and setting other path or environment parameters from a user-friendly interface. The path planning system involves several phases. Each of these modules is complex and therefore we provide the possibility of visualizing graphically the output of each phase. Based on our experience, this tool has been an effective one in classroom teaching. It not only cuts down, significantly, on the instructor's time and effort but also motivates senior/graduate students to pursue work in this specific area of research. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.compedu.2005.06.012 | Computers & Education |
Keywords | Field | DocType |
robot motion planning example,computational geometry,visual tool,different shape,computer science,effective computer,robot motion planning,different area,path planning system,environment parameter,collision avoidance,computer aided learning,proposed tool,robot motion planning problem,computer graphics,path planning,robotics,motion | Robot learning,Motion planning,Graphics,Computer-Assisted Instruction,Computer science,Computational geometry,Human–computer interaction,Artificial intelligence,Robot,Computer graphics,Robotics | Journal |
Volume | Issue | ISSN |
49 | 2 | Computers & Education |
Citations | PageRank | References |
1 | 0.47 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashraf Elnagar | 1 | 115 | 21.22 |
| Leena Lulu | 2 | 17 | 4.11 |