Name
Abstract | ||
|---|---|---|
This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-26945-6_23 | ROBOTICS IN EDUCATION: CURRENT RESEARCH AND INNOVATIONS |
Keywords | Field | DocType |
Computer science education,Trigonometry,Algebra,Linear regression,Robotics,Mathematics | Trigonometry,Motion planning,Dead reckoning,Simple linear regression,Artificial intelligence,Educational robotics,Robotics,Linear regression | Conference |
Volume | ISSN | Citations |
1023 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronald I. Greenberg | 1 | 155 | 38.75 |
| George K. Thiruvathul | 2 | 3 | 4.16 |
| Sara T. Greenberg | 3 | 0 | 0.34 |